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Schedule for Postgres Conference

Use Cases Data Ops and Administration Development Greenplum Summit Regulated Industry AWS Migration Day Google Cloud Summit General Session

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00
Bowery (Lower Level)							Performance tuning PostgreSQL
Flatiron (Lower Level)							Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)							Managed PostgreSQL Databases on AWS
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)							Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)							Petabyte Scale Data Warehousing with Open Source Greenplum Database

	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Managed PostgreSQL Databases on AWS						Deep Dive on Amazon Aurora with PostgreSQL Compatibility
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Deep Dive on Amazon Aurora with PostgreSQL Compatibility						Deep Dive on Amazon Aurora PostgreSQL Performance Tuning
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Deep Dive on Amazon Aurora PostgreSQL Performance Tuning
Lower Level Foyer (Lower Level)							Monday Lunch
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)							Moving Your Enterprise from Commercial Databases to PostgreSQL
Lower Level Foyer (Lower Level)	Monday Lunch
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Moving Your Enterprise from Commercial Databases to PostgreSQL						Tools to help you Migrate from Oracle to PostgreSQL
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Tools to help you Migrate from Oracle to PostgreSQL
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)				How Amazon.com Migrated their Inventory Management System from Oracle to Aurora PostgreSQL
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)
Flatiron (Lower Level)
Grammercy (Lower Level)	How Amazon.com Migrated their Inventory Management System from Oracle to Aurora PostgreSQL			Ask Me Anything about PostgreSQL on AWS
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)
Flatiron (Lower Level)
Grammercy (Lower Level)	Ask Me Anything about PostgreSQL on AWS
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00
Bowery (Lower Level)
Flatiron (Lower Level)
Grammercy (Lower Level)
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)

	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Flatiron (Lower Level)
Grammercy (Lower Level)
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)							Performance tuning PostgreSQL
Flatiron (Lower Level)							Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)							Managed PostgreSQL Databases on AWS						Deep Dive on Amazon Aurora with PostgreSQL Compatibility
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)							Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)							Petabyte Scale Data Warehousing with Open Source Greenplum Database

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Deep Dive on Amazon Aurora with PostgreSQL Compatibility						Deep Dive on Amazon Aurora PostgreSQL Performance Tuning
Lower Level Foyer (Lower Level)													Monday Lunch
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)							Moving Your Enterprise from Commercial Databases to PostgreSQL						Tools to help you Migrate from Oracle to PostgreSQL
Lower Level Foyer (Lower Level)	Monday Lunch
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Tools to help you Migrate from Oracle to PostgreSQL									How Amazon.com Migrated their Inventory Management System from Oracle to Aurora PostgreSQL
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)
Flatiron (Lower Level)
Grammercy (Lower Level)	How Amazon.com Migrated their Inventory Management System from Oracle to Aurora PostgreSQL			Ask Me Anything about PostgreSQL on AWS
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Flatiron (Lower Level)
Grammercy (Lower Level)
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)							Performance tuning PostgreSQL
Flatiron (Lower Level)							Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)							Managed PostgreSQL Databases on AWS						Deep Dive on Amazon Aurora with PostgreSQL Compatibility						Deep Dive on Amazon Aurora PostgreSQL Performance Tuning
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)							Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)							Petabyte Scale Data Warehousing with Open Source Greenplum Database

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Deep Dive on Amazon Aurora PostgreSQL Performance Tuning												Moving Your Enterprise from Commercial Databases to PostgreSQL						Tools to help you Migrate from Oracle to PostgreSQL
Lower Level Foyer (Lower Level)							Monday Lunch
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)	Performance tuning PostgreSQL
Flatiron (Lower Level)	Introduction to PostgreSQL for Oracle and MySQL DBAs
Grammercy (Lower Level)	Tools to help you Migrate from Oracle to PostgreSQL									How Amazon.com Migrated their Inventory Management System from Oracle to Aurora PostgreSQL						Ask Me Anything about PostgreSQL on AWS
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Oracle to PostgreSQL Migration Tutorial
Sugar Hill (Lower Level)	Petabyte Scale Data Warehousing with Open Source Greenplum Database

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Flatiron (Lower Level)
Grammercy (Lower Level)	Ask Me Anything about PostgreSQL on AWS
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00
Bowery (Lower Level)							Introduction to Google Cloud Platform Storage and Cloud SQL
Chelsea (Lower Level)							Setting up PostgreSQL for Production in AWS
Grammercy (Lower Level)							Pivotal Greenplum: Postgres-Based. Multi-Cloud. Built for Analytics & AI
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)							An Introductory Training on TimescaleDB
Sugar Hill (Lower Level)							Postgres for the Financial Industry
Sutton Place (Lower Level)							Getting stuff done with PostGIS

	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)	Introduction to Google Cloud Platform Storage and Cloud SQL						High Availability with Cloud SQL + Kubernetes
Chelsea (Lower Level)	Setting up PostgreSQL for Production in AWS
Grammercy (Lower Level)	Pivotal Greenplum: Postgres-Based. Multi-Cloud. Built for Analytics & AI			The Present and Future of Greenplum, a Massively Parallel Postgres Database			AI on Greenplum Using Apache MADlib and MADlib Flow
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	An Introductory Training on TimescaleDB
Sugar Hill (Lower Level)	Postgres for the Financial Industry
Sutton Place (Lower Level)	Getting stuff done with PostGIS						Loading data into PostgreSQL

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)	High Availability with Cloud SQL + Kubernetes
Chelsea (Lower Level)	Setting up PostgreSQL for Production in AWS
Grammercy (Lower Level)	AI on Greenplum Using Apache MADlib and MADlib Flow						A Modern Interface for Data Science on Postgres and Greenplum
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	An Introductory Training on TimescaleDB
Sugar Hill (Lower Level)	Postgres for the Financial Industry
Sutton Place (Lower Level)	Loading data into PostgreSQL

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)	High Availability with Cloud SQL + Kubernetes
Chelsea (Lower Level)	Setting up PostgreSQL for Production in AWS
Grammercy (Lower Level)	A Modern Interface for Data Science on Postgres and Greenplum			Distributing big astronomical catalogues with Greenplum
Lower Level Foyer (Lower Level)							Tuesday Lunch
Murray Hill (Lower Level)	An Introductory Training on TimescaleDB
Sugar Hill (Lower Level)	Postgres for the Financial Industry
Sutton Place (Lower Level)

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00
Bowery (Lower Level)							Oracle to PostgreSQL Migration
Chelsea (Lower Level)							Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)							Greenplum and Kafka: Real time Streaming to Greenplum
Lower Level Foyer (Lower Level)	Tuesday Lunch
Murray Hill (Lower Level)							Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)							Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)							Replication in PostgreSQL - Deep Dive

	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	Oracle to PostgreSQL Migration						PostgreSQL in Production
Chelsea (Lower Level)	Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)	Greenplum and Kafka: Real time Streaming to Greenplum			How Baker Hughes, a GE Company, Migrated Its Data Lake to AWS and Greenplum			Greenplum Expert Panel: Greenplum Operations at Scale
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)	Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)	Replication in PostgreSQL - Deep Dive

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00
Bowery (Lower Level)	PostgreSQL in Production						Introduction to Cloud Spanner
Chelsea (Lower Level)	Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)	Greenplum Expert Panel: Greenplum Operations at Scale						Bringing Cloud Databases On-Premises with Greenplum and Kubernetes
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)	Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)	Replication in PostgreSQL - Deep Dive

	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)	Introduction to Cloud Spanner						Introduction to Cloud Firestore
Chelsea (Lower Level)	Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)	Bringing Cloud Databases On-Premises with Greenplum and Kubernetes						Building Models Quickly
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)	Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)	Replication in PostgreSQL - Deep Dive

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)	Introduction to Cloud Firestore			Introduction to Cloud Bigtable			Fireside Chat with a Google Cloud SQL Engineer
Chelsea (Lower Level)
Grammercy (Lower Level)	Building Models Quickly			Greenplum and the Power of The Cloud - The Marketplace Offerings across AWS, Azure, and GCP			Achieve Extreme Simplicity and Superior Price/Performance with Greenplum Building Blocks
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)
Sutton Place (Lower Level)

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)	Fireside Chat with a Google Cloud SQL Engineer
Chelsea (Lower Level)
Grammercy (Lower Level)	Achieve Extreme Simplicity and Superior Price/Performance with Greenplum Building Blocks			Maximize Greenplum For Any Use Cases: Decoupling Compute and Storage
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)
Sutton Place (Lower Level)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00
Bowery (Lower Level)
Chelsea (Lower Level)
Grammercy (Lower Level)
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)
Sutton Place (Lower Level)

	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Chelsea (Lower Level)
Grammercy (Lower Level)
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)
Sutton Place (Lower Level)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)							Introduction to Google Cloud Platform Storage and Cloud SQL						High Availability with Cloud SQL + Kubernetes
Chelsea (Lower Level)							Setting up PostgreSQL for Production in AWS
Grammercy (Lower Level)							Pivotal Greenplum: Postgres-Based. Multi-Cloud. Built for Analytics & AI			The Present and Future of Greenplum, a Massively Parallel Postgres Database			AI on Greenplum Using Apache MADlib and MADlib Flow
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)							An Introductory Training on TimescaleDB
Sugar Hill (Lower Level)							Postgres for the Financial Industry
Sutton Place (Lower Level)							Getting stuff done with PostGIS						Loading data into PostgreSQL

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)	High Availability with Cloud SQL + Kubernetes
Chelsea (Lower Level)	Setting up PostgreSQL for Production in AWS
Grammercy (Lower Level)	AI on Greenplum Using Apache MADlib and MADlib Flow						A Modern Interface for Data Science on Postgres and Greenplum			Distributing big astronomical catalogues with Greenplum
Lower Level Foyer (Lower Level)													Tuesday Lunch
Murray Hill (Lower Level)	An Introductory Training on TimescaleDB
Sugar Hill (Lower Level)	Postgres for the Financial Industry
Sutton Place (Lower Level)	Loading data into PostgreSQL

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)							Oracle to PostgreSQL Migration						PostgreSQL in Production
Chelsea (Lower Level)							Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)							Greenplum and Kafka: Real time Streaming to Greenplum			How Baker Hughes, a GE Company, Migrated Its Data Lake to AWS and Greenplum			Greenplum Expert Panel: Greenplum Operations at Scale
Lower Level Foyer (Lower Level)	Tuesday Lunch
Murray Hill (Lower Level)							Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)							Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)							Replication in PostgreSQL - Deep Dive

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)	PostgreSQL in Production						Introduction to Cloud Spanner						Introduction to Cloud Firestore
Chelsea (Lower Level)	Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)	Greenplum Expert Panel: Greenplum Operations at Scale						Bringing Cloud Databases On-Premises with Greenplum and Kubernetes						Building Models Quickly
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)	Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)	Replication in PostgreSQL - Deep Dive

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)	Introduction to Cloud Firestore			Introduction to Cloud Bigtable			Fireside Chat with a Google Cloud SQL Engineer
Chelsea (Lower Level)
Grammercy (Lower Level)	Building Models Quickly			Greenplum and the Power of The Cloud - The Marketplace Offerings across AWS, Azure, and GCP			Achieve Extreme Simplicity and Superior Price/Performance with Greenplum Building Blocks			Maximize Greenplum For Any Use Cases: Decoupling Compute and Storage
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)
Sutton Place (Lower Level)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Chelsea (Lower Level)
Grammercy (Lower Level)
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)
Sutton Place (Lower Level)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)							Introduction to Google Cloud Platform Storage and Cloud SQL						High Availability with Cloud SQL + Kubernetes
Chelsea (Lower Level)							Setting up PostgreSQL for Production in AWS
Grammercy (Lower Level)							Pivotal Greenplum: Postgres-Based. Multi-Cloud. Built for Analytics & AI			The Present and Future of Greenplum, a Massively Parallel Postgres Database			AI on Greenplum Using Apache MADlib and MADlib Flow						A Modern Interface for Data Science on Postgres and Greenplum
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)							An Introductory Training on TimescaleDB
Sugar Hill (Lower Level)							Postgres for the Financial Industry
Sutton Place (Lower Level)							Getting stuff done with PostGIS						Loading data into PostgreSQL

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	High Availability with Cloud SQL + Kubernetes												Oracle to PostgreSQL Migration						PostgreSQL in Production
Chelsea (Lower Level)	Setting up PostgreSQL for Production in AWS												Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)	A Modern Interface for Data Science on Postgres and Greenplum			Distributing big astronomical catalogues with Greenplum									Greenplum and Kafka: Real time Streaming to Greenplum			How Baker Hughes, a GE Company, Migrated Its Data Lake to AWS and Greenplum			Greenplum Expert Panel: Greenplum Operations at Scale
Lower Level Foyer (Lower Level)							Tuesday Lunch
Murray Hill (Lower Level)	An Introductory Training on TimescaleDB												Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)	Postgres for the Financial Industry												Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)													Replication in PostgreSQL - Deep Dive

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)	PostgreSQL in Production						Introduction to Cloud Spanner						Introduction to Cloud Firestore			Introduction to Cloud Bigtable			Fireside Chat with a Google Cloud SQL Engineer
Chelsea (Lower Level)	Essential PostgreSQL11 Database Administration
Grammercy (Lower Level)	Greenplum Expert Panel: Greenplum Operations at Scale						Bringing Cloud Databases On-Premises with Greenplum and Kubernetes						Building Models Quickly			Greenplum and the Power of The Cloud - The Marketplace Offerings across AWS, Azure, and GCP			Achieve Extreme Simplicity and Superior Price/Performance with Greenplum Building Blocks
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)	Beginner's Guide to PostgreSQL Development
Sugar Hill (Lower Level)	Understanding and implementing PostgreSQL High Availability with Patroni
Sutton Place (Lower Level)	Replication in PostgreSQL - Deep Dive

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)	Fireside Chat with a Google Cloud SQL Engineer
Chelsea (Lower Level)
Grammercy (Lower Level)	Achieve Extreme Simplicity and Superior Price/Performance with Greenplum Building Blocks			Maximize Greenplum For Any Use Cases: Decoupling Compute and Storage
Lower Level Foyer (Lower Level)
Murray Hill (Lower Level)
Sugar Hill (Lower Level)
Sutton Place (Lower Level)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00
Bowery (Lower Level)							Designing database schemas for GDPR-compliance and security
Grammercy (Lower Level)							Automated health checks of PostgreSQL clusters
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)							Transactions per Dollar - PostgreSQL in virtual and bare metal clouds
Riverside Suite (3rd Floor)							Using FDW Like Never Before

	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)	Designing database schemas for GDPR-compliance and security
Grammercy (Lower Level)	Automated health checks of PostgreSQL clusters
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)							People . Postgres . Data Launch!
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)	Transactions per Dollar - PostgreSQL in virtual and bare metal clouds
Riverside Suite (3rd Floor)	Using FDW Like Never Before			In-Database Application Server

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	People . Postgres . Data Launch!		A Look at the Global Economic Impact of Postgres			Scale Matters: Massively Parallel Postgres
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)							Wednesday Lunch
New York Ballroom East (3rd Floor)	Scale Matters: Massively Parallel Postgres		The Customer Journey to PostgreSQL on AWS		Driving the industry for the next 5 years!
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00
Bowery (Lower Level)							Achieving Business Results under Stress/Strain of Government Regulation
Grammercy (Lower Level)							"Right size" your PostGIS data
Metropolitan Ballroom East (2nd Floor)	Wednesday Lunch
New York Ballroom East (3rd Floor)							Connecting Galaxies
New York Ballroom West (3rd Floor)							Next Generation Storage Technology Considerations for PostgreSQL
Riverside Ballroom (3rd Floor)							Azure Database for PostgreSQL – what’s new and lesson learned.
Riverside Suite (3rd Floor)							Learn how Dell Computer Improved Postgres/Greenplum Performance 20x with a Database Proxy

	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	Achieving Business Results under Stress/Strain of Government Regulation						PostgreSQL Security Best Practices
Grammercy (Lower Level)	"Right size" your PostGIS data						Writing Recursive Queries
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Connecting Galaxies						Securing PostgreSQL as a Service in a multi-cloud platform
New York Ballroom West (3rd Floor)	Next Generation Storage Technology Considerations for PostgreSQL						Monitoring PostgreSQL with Grafana and TimescaleDB
Riverside Ballroom (3rd Floor)	Azure Database for PostgreSQL – what’s new and lesson learned.						Face recognition and postgres
Riverside Suite (3rd Floor)	Learn how Dell Computer Improved Postgres/Greenplum Performance 20x with a Database Proxy						Bringing DevOps to Data Science: Operationalize AI Leveraging Postgres

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00
Bowery (Lower Level)	PostgreSQL Security Best Practices						Case Study: Secure and high performant data lake
Grammercy (Lower Level)	Writing Recursive Queries						Simple steps to superior database performance
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Securing PostgreSQL as a Service in a multi-cloud platform						"Why isn't my query using an index?" - Tips on SQL performance to keep on your finger tips!
New York Ballroom West (3rd Floor)	Monitoring PostgreSQL with Grafana and TimescaleDB						Using Grafana and Prometheus for PostgreSQL monitoring in TomTom
Riverside Ballroom (3rd Floor)	Face recognition and postgres			Indexes: right place, right time.			Building a SaaS developer platform using Postgres
Riverside Suite (3rd Floor)	Bringing DevOps to Data Science: Operationalize AI Leveraging Postgres						Agile Data Science on Greenplum [using Airflow]

	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)	Case Study: Secure and high performant data lake
Grammercy (Lower Level)	Simple steps to superior database performance
Metropolitan Ballroom East (2nd Floor)							Networking Happy Hour!
New York Ballroom East (3rd Floor)	"Why isn't my query using an index?" - Tips on SQL performance to keep on your finger tips!
New York Ballroom West (3rd Floor)	Using Grafana and Prometheus for PostgreSQL monitoring in TomTom
Riverside Ballroom (3rd Floor)	Building a SaaS developer platform using Postgres			Upgrading Postgres 9.3 with zero downtime
Riverside Suite (3rd Floor)	Agile Data Science on Greenplum [using Airflow]

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)	Networking Happy Hour!
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)	Networking Happy Hour!
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)	Networking Happy Hour!
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)							Designing database schemas for GDPR-compliance and security
Grammercy (Lower Level)							Automated health checks of PostgreSQL clusters
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)													People . Postgres . Data Launch!
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)							Transactions per Dollar - PostgreSQL in virtual and bare metal clouds
Riverside Suite (3rd Floor)							Using FDW Like Never Before			In-Database Application Server

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)													Wednesday Lunch
New York Ballroom East (3rd Floor)	People . Postgres . Data Launch!		A Look at the Global Economic Impact of Postgres			Scale Matters: Massively Parallel Postgres			The Customer Journey to PostgreSQL on AWS		Driving the industry for the next 5 years!
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)							Achieving Business Results under Stress/Strain of Government Regulation						PostgreSQL Security Best Practices
Grammercy (Lower Level)							"Right size" your PostGIS data						Writing Recursive Queries
Metropolitan Ballroom East (2nd Floor)	Wednesday Lunch
New York Ballroom East (3rd Floor)							Connecting Galaxies						Securing PostgreSQL as a Service in a multi-cloud platform
New York Ballroom West (3rd Floor)							Next Generation Storage Technology Considerations for PostgreSQL						Monitoring PostgreSQL with Grafana and TimescaleDB
Riverside Ballroom (3rd Floor)							Azure Database for PostgreSQL – what’s new and lesson learned.						Face recognition and postgres
Riverside Suite (3rd Floor)							Learn how Dell Computer Improved Postgres/Greenplum Performance 20x with a Database Proxy						Bringing DevOps to Data Science: Operationalize AI Leveraging Postgres

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)	PostgreSQL Security Best Practices						Case Study: Secure and high performant data lake
Grammercy (Lower Level)	Writing Recursive Queries						Simple steps to superior database performance
Metropolitan Ballroom East (2nd Floor)													Networking Happy Hour!
New York Ballroom East (3rd Floor)	Securing PostgreSQL as a Service in a multi-cloud platform						"Why isn't my query using an index?" - Tips on SQL performance to keep on your finger tips!
New York Ballroom West (3rd Floor)	Monitoring PostgreSQL with Grafana and TimescaleDB						Using Grafana and Prometheus for PostgreSQL monitoring in TomTom
Riverside Ballroom (3rd Floor)	Face recognition and postgres			Indexes: right place, right time.			Building a SaaS developer platform using Postgres			Upgrading Postgres 9.3 with zero downtime
Riverside Suite (3rd Floor)	Bringing DevOps to Data Science: Operationalize AI Leveraging Postgres						Agile Data Science on Greenplum [using Airflow]

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)	Networking Happy Hour!
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)	Networking Happy Hour!
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)							Designing database schemas for GDPR-compliance and security
Grammercy (Lower Level)							Automated health checks of PostgreSQL clusters
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)													People . Postgres . Data Launch!		A Look at the Global Economic Impact of Postgres			Scale Matters: Massively Parallel Postgres
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)							Transactions per Dollar - PostgreSQL in virtual and bare metal clouds
Riverside Suite (3rd Floor)							Using FDW Like Never Before			In-Database Application Server

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)													Achieving Business Results under Stress/Strain of Government Regulation						PostgreSQL Security Best Practices
Grammercy (Lower Level)													"Right size" your PostGIS data						Writing Recursive Queries
Metropolitan Ballroom East (2nd Floor)							Wednesday Lunch
New York Ballroom East (3rd Floor)	Scale Matters: Massively Parallel Postgres		The Customer Journey to PostgreSQL on AWS		Driving the industry for the next 5 years!								Connecting Galaxies						Securing PostgreSQL as a Service in a multi-cloud platform
New York Ballroom West (3rd Floor)													Next Generation Storage Technology Considerations for PostgreSQL						Monitoring PostgreSQL with Grafana and TimescaleDB
Riverside Ballroom (3rd Floor)													Azure Database for PostgreSQL – what’s new and lesson learned.						Face recognition and postgres
Riverside Suite (3rd Floor)													Learn how Dell Computer Improved Postgres/Greenplum Performance 20x with a Database Proxy						Bringing DevOps to Data Science: Operationalize AI Leveraging Postgres

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)	PostgreSQL Security Best Practices						Case Study: Secure and high performant data lake
Grammercy (Lower Level)	Writing Recursive Queries						Simple steps to superior database performance
Metropolitan Ballroom East (2nd Floor)													Networking Happy Hour!
New York Ballroom East (3rd Floor)	Securing PostgreSQL as a Service in a multi-cloud platform						"Why isn't my query using an index?" - Tips on SQL performance to keep on your finger tips!
New York Ballroom West (3rd Floor)	Monitoring PostgreSQL with Grafana and TimescaleDB						Using Grafana and Prometheus for PostgreSQL monitoring in TomTom
Riverside Ballroom (3rd Floor)	Face recognition and postgres			Indexes: right place, right time.			Building a SaaS developer platform using Postgres			Upgrading Postgres 9.3 with zero downtime
Riverside Suite (3rd Floor)	Bringing DevOps to Data Science: Operationalize AI Leveraging Postgres						Agile Data Science on Greenplum [using Airflow]

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)	Networking Happy Hour!
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00
Bowery (Lower Level)							What is the optimal value of shared_buffers for your database? A use case of data-driven optimization based on database experiments
Chelsea (Lower Level)							PostgreSQL EXPLAIN Explained
Grammercy (Lower Level)							Migrating from Oracle to Enterprise-Ready Postgres in the Cloud
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)							Private event

	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)	What is the optimal value of shared_buffers for your database? A use case of data-driven optimization based on database experiments
Chelsea (Lower Level)	PostgreSQL EXPLAIN Explained
Grammercy (Lower Level)	Migrating from Oracle to Enterprise-Ready Postgres in the Cloud
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)							Google Keynote
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)	Private event

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)							Scaling AWS Redshift Concurrency With PostgreSQL
Chelsea (Lower Level)							Dollars for Disks: Hard lessons behind performant Postgres I/O in the Cloud
Grammercy (Lower Level)							Row Level Security
Metropolitan Ballroom East (2nd Floor)				Thursday Morning Break
New York Ballroom East (3rd Floor)	Google Keynote	Microsoft’s latest update and future with PostgreSQL	Keynote: PostgreSQL, the Hyperconverged database
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)	Private event

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)	Scaling AWS Redshift Concurrency With PostgreSQL
Chelsea (Lower Level)	Dollars for Disks: Hard lessons behind performant Postgres I/O in the Cloud
Grammercy (Lower Level)	Row Level Security
Metropolitan Ballroom East (2nd Floor)							Thursday Lunch
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)	Private event

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00
Bowery (Lower Level)							Performant multi-region Postgres using distributed data storage engine
Chelsea (Lower Level)							Building scalable application with Google Cloud SQL for PostgreSQL
Grammercy (Lower Level)							FoundationDB: Building a next-generation distributed database storage engine
Metropolitan Ballroom East (2nd Floor)	Thursday Lunch
New York Ballroom East (3rd Floor)							PostgreSQL backups in the age of The Cloud
New York Ballroom West (3rd Floor)							TimescaleDB: Leveraging PostgreSQL for Reliability
Riverside Suite (3rd Floor)	Private event

	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	Performant multi-region Postgres using distributed data storage engine						Stored Procedures
Chelsea (Lower Level)	Building scalable application with Google Cloud SQL for PostgreSQL						Join Heterogeneous Databases using PostgreSQL Foreign Data Wrappers
Grammercy (Lower Level)	FoundationDB: Building a next-generation distributed database storage engine						Gap Filling: Enabling New Analytic Capabilities in Postgres
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	PostgreSQL backups in the age of The Cloud						Essential Postgres Performance tuning
New York Ballroom West (3rd Floor)	TimescaleDB: Leveraging PostgreSQL for Reliability						HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
Riverside Suite (3rd Floor)	Private event

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00
Bowery (Lower Level)	Stored Procedures			You Got Kubernetes In My Postgres!
Chelsea (Lower Level)	Join Heterogeneous Databases using PostgreSQL Foreign Data Wrappers			Running your datacenter with PostgreSQL
Grammercy (Lower Level)	Gap Filling: Enabling New Analytic Capabilities in Postgres
Metropolitan Ballroom East (2nd Floor)						Thursday Afternoon Break
New York Ballroom East (3rd Floor)	Essential Postgres Performance tuning
New York Ballroom West (3rd Floor)	HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
Riverside Suite (3rd Floor)	Private event

	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)			Integrating Postgres Into DevOps
Chelsea (Lower Level)			PostgreSQL Practices in China			Compressing multidimensional data in PostgreSQL
Grammercy (Lower Level)			Deploying & Managing PostgreSQL on Public Clouds: 10 Questions to Ask (& Answer) Before You Go Live
Metropolitan Ballroom East (2nd Floor)	Thursday Afternoon Break
New York Ballroom East (3rd Floor)			Divide and Conquer data:- Advanced Methods for partitioning and sharding data - Latest developments
New York Ballroom West (3rd Floor)			Visualizing Data in PostgreSQL Using Grafana			Query Optimization for Excel People
Riverside Suite (3rd Floor)	Private event

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)	Integrating Postgres Into DevOps		Multi-Tenant PostgreSQL-as-a-Service in SAP Cloud Platform
Chelsea (Lower Level)	Compressing multidimensional data in PostgreSQL		Logical Replication and pgLogical
Grammercy (Lower Level)	Deploying & Managing PostgreSQL on Public Clouds: 10 Questions to Ask (& Answer) Before You Go Live		Driving Data Science at Scale Using Postgres and Greenplum with Dataiku
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Divide and Conquer data:- Advanced Methods for partitioning and sharding data - Latest developments		The PostgreSQL Ecology
New York Ballroom West (3rd Floor)	Query Optimization for Excel People		Wait! What's going on inside my database? Understanding PostgreSQL wait events
Riverside Suite (3rd Floor)	Private event

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)	Multi-Tenant PostgreSQL-as-a-Service in SAP Cloud Platform
Chelsea (Lower Level)	Logical Replication and pgLogical
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	The PostgreSQL Ecology
New York Ballroom West (3rd Floor)	Wait! What's going on inside my database? Understanding PostgreSQL wait events
Riverside Suite (3rd Floor)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00
Bowery (Lower Level)
Chelsea (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)

	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Chelsea (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Bowery (Lower Level)							What is the optimal value of shared_buffers for your database? A use case of data-driven optimization based on database experiments
Chelsea (Lower Level)							PostgreSQL EXPLAIN Explained
Grammercy (Lower Level)							Migrating from Oracle to Enterprise-Ready Postgres in the Cloud
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)													Google Keynote
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)							Private event

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Bowery (Lower Level)							Scaling AWS Redshift Concurrency With PostgreSQL
Chelsea (Lower Level)							Dollars for Disks: Hard lessons behind performant Postgres I/O in the Cloud
Grammercy (Lower Level)							Row Level Security
Metropolitan Ballroom East (2nd Floor)				Thursday Morning Break									Thursday Lunch
New York Ballroom East (3rd Floor)	Google Keynote	Microsoft’s latest update and future with PostgreSQL	Keynote: PostgreSQL, the Hyperconverged database
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)	Private event

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)							Performant multi-region Postgres using distributed data storage engine						Stored Procedures
Chelsea (Lower Level)							Building scalable application with Google Cloud SQL for PostgreSQL						Join Heterogeneous Databases using PostgreSQL Foreign Data Wrappers
Grammercy (Lower Level)							FoundationDB: Building a next-generation distributed database storage engine						Gap Filling: Enabling New Analytic Capabilities in Postgres
Metropolitan Ballroom East (2nd Floor)	Thursday Lunch
New York Ballroom East (3rd Floor)							PostgreSQL backups in the age of The Cloud						Essential Postgres Performance tuning
New York Ballroom West (3rd Floor)							TimescaleDB: Leveraging PostgreSQL for Reliability						HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
Riverside Suite (3rd Floor)	Private event

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Bowery (Lower Level)	Stored Procedures			You Got Kubernetes In My Postgres!					Integrating Postgres Into DevOps
Chelsea (Lower Level)	Join Heterogeneous Databases using PostgreSQL Foreign Data Wrappers			Running your datacenter with PostgreSQL					PostgreSQL Practices in China			Compressing multidimensional data in PostgreSQL
Grammercy (Lower Level)	Gap Filling: Enabling New Analytic Capabilities in Postgres								Deploying & Managing PostgreSQL on Public Clouds: 10 Questions to Ask (& Answer) Before You Go Live
Metropolitan Ballroom East (2nd Floor)						Thursday Afternoon Break
New York Ballroom East (3rd Floor)	Essential Postgres Performance tuning								Divide and Conquer data:- Advanced Methods for partitioning and sharding data - Latest developments
New York Ballroom West (3rd Floor)	HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION								Visualizing Data in PostgreSQL Using Grafana			Query Optimization for Excel People
Riverside Suite (3rd Floor)	Private event

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Bowery (Lower Level)	Integrating Postgres Into DevOps		Multi-Tenant PostgreSQL-as-a-Service in SAP Cloud Platform
Chelsea (Lower Level)	Compressing multidimensional data in PostgreSQL		Logical Replication and pgLogical
Grammercy (Lower Level)	Deploying & Managing PostgreSQL on Public Clouds: 10 Questions to Ask (& Answer) Before You Go Live		Driving Data Science at Scale Using Postgres and Greenplum with Dataiku
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Divide and Conquer data:- Advanced Methods for partitioning and sharding data - Latest developments		The PostgreSQL Ecology
New York Ballroom West (3rd Floor)	Query Optimization for Excel People		Wait! What's going on inside my database? Understanding PostgreSQL wait events
Riverside Suite (3rd Floor)	Private event

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)
Chelsea (Lower Level)
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Bowery (Lower Level)							What is the optimal value of shared_buffers for your database? A use case of data-driven optimization based on database experiments												Scaling AWS Redshift Concurrency With PostgreSQL
Chelsea (Lower Level)							PostgreSQL EXPLAIN Explained												Dollars for Disks: Hard lessons behind performant Postgres I/O in the Cloud
Grammercy (Lower Level)							Migrating from Oracle to Enterprise-Ready Postgres in the Cloud												Row Level Security
Metropolitan Ballroom East (2nd Floor)																Thursday Morning Break
New York Ballroom East (3rd Floor)													Google Keynote	Microsoft’s latest update and future with PostgreSQL	Keynote: PostgreSQL, the Hyperconverged database
New York Ballroom West (3rd Floor)
Riverside Suite (3rd Floor)							Private event

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Bowery (Lower Level)	Scaling AWS Redshift Concurrency With PostgreSQL												Performant multi-region Postgres using distributed data storage engine						Stored Procedures
Chelsea (Lower Level)	Dollars for Disks: Hard lessons behind performant Postgres I/O in the Cloud												Building scalable application with Google Cloud SQL for PostgreSQL						Join Heterogeneous Databases using PostgreSQL Foreign Data Wrappers
Grammercy (Lower Level)	Row Level Security												FoundationDB: Building a next-generation distributed database storage engine						Gap Filling: Enabling New Analytic Capabilities in Postgres
Metropolitan Ballroom East (2nd Floor)							Thursday Lunch
New York Ballroom East (3rd Floor)													PostgreSQL backups in the age of The Cloud						Essential Postgres Performance tuning
New York Ballroom West (3rd Floor)													TimescaleDB: Leveraging PostgreSQL for Reliability						HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
Riverside Suite (3rd Floor)	Private event

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Bowery (Lower Level)	Stored Procedures			You Got Kubernetes In My Postgres!					Integrating Postgres Into DevOps						Multi-Tenant PostgreSQL-as-a-Service in SAP Cloud Platform
Chelsea (Lower Level)	Join Heterogeneous Databases using PostgreSQL Foreign Data Wrappers			Running your datacenter with PostgreSQL					PostgreSQL Practices in China			Compressing multidimensional data in PostgreSQL			Logical Replication and pgLogical
Grammercy (Lower Level)	Gap Filling: Enabling New Analytic Capabilities in Postgres								Deploying & Managing PostgreSQL on Public Clouds: 10 Questions to Ask (& Answer) Before You Go Live						Driving Data Science at Scale Using Postgres and Greenplum with Dataiku
Metropolitan Ballroom East (2nd Floor)						Thursday Afternoon Break
New York Ballroom East (3rd Floor)	Essential Postgres Performance tuning								Divide and Conquer data:- Advanced Methods for partitioning and sharding data - Latest developments						The PostgreSQL Ecology
New York Ballroom West (3rd Floor)	HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION								Visualizing Data in PostgreSQL Using Grafana			Query Optimization for Excel People			Wait! What's going on inside my database? Understanding PostgreSQL wait events
Riverside Suite (3rd Floor)	Private event

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Bowery (Lower Level)	Multi-Tenant PostgreSQL-as-a-Service in SAP Cloud Platform
Chelsea (Lower Level)	Logical Replication and pgLogical
Grammercy (Lower Level)
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	The PostgreSQL Ecology
New York Ballroom West (3rd Floor)	Wait! What's going on inside my database? Understanding PostgreSQL wait events
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)							Fully Automating the Entire PostgreSQL Lifecycle
New York Ballroom West (3rd Floor)							Mitigating Your Database Migration Challenges
Riverside Ballroom (3rd Floor)							Whats slowing down my database a Dev-Ops approach
Riverside Suite (3rd Floor)							TIBCO Data Science

	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Fully Automating the Entire PostgreSQL Lifecycle						All the dirt on VACUUM
New York Ballroom West (3rd Floor)	Mitigating Your Database Migration Challenges						When to use JSONB and When not to use JSONB in postgres
Riverside Ballroom (3rd Floor)	Whats slowing down my database a Dev-Ops approach						Integrating Postgres with Apache Camel and ActiveMQ
Riverside Suite (3rd Floor)	TIBCO Data Science						Building a code-security service using time-series data in Postgres

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Metropolitan Ballroom East (2nd Floor)							Career Fair
New York Ballroom East (3rd Floor)	All the dirt on VACUUM						Diversity and Inclusiveness Panel
New York Ballroom West (3rd Floor)	When to use JSONB and When not to use JSONB in postgres
Riverside Ballroom (3rd Floor)	Integrating Postgres with Apache Camel and ActiveMQ
Riverside Suite (3rd Floor)	Building a code-security service using time-series data in Postgres

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Metropolitan Ballroom East (2nd Floor)	Career Fair
New York Ballroom East (3rd Floor)	Diversity and Inclusiveness Panel
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00
Metropolitan Ballroom East (2nd Floor)	Career Fair
New York Ballroom East (3rd Floor)							Logical Replication… Let’s do it LIVE!
New York Ballroom West (3rd Floor)							Ace it with ACID
Riverside Ballroom (3rd Floor)							Introducing PostgreSQL in Azure Data Studio
Riverside Suite (3rd Floor)							Building a scalable realtime GraphQL API (GraphQL subcriptions) on Postgres

	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Metropolitan Ballroom East (2nd Floor)	Career Fair
New York Ballroom East (3rd Floor)	Logical Replication… Let’s do it LIVE!						Streaming ETL in Practice with PostgreSQL, Apache Kafka, and KSQL
New York Ballroom West (3rd Floor)	Ace it with ACID						High-performance Coding: a Rust-based tree hash for large files
Riverside Ballroom (3rd Floor)	Introducing PostgreSQL in Azure Data Studio						Shadow Tables vers PGAudit
Riverside Suite (3rd Floor)	Building a scalable realtime GraphQL API (GraphQL subcriptions) on Postgres			The wonders of CTE's			400% performance improvement after tuning these PostgreSQL parameters

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Streaming ETL in Practice with PostgreSQL, Apache Kafka, and KSQL						Conference Closing
New York Ballroom West (3rd Floor)	High-performance Coding: a Rust-based tree hash for large files
Riverside Ballroom (3rd Floor)	Shadow Tables vers PGAudit
Riverside Suite (3rd Floor)	400% performance improvement after tuning these PostgreSQL parameters

	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Conference Closing
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)							Fully Automating the Entire PostgreSQL Lifecycle						All the dirt on VACUUM
New York Ballroom West (3rd Floor)							Mitigating Your Database Migration Challenges						When to use JSONB and When not to use JSONB in postgres
Riverside Ballroom (3rd Floor)							Whats slowing down my database a Dev-Ops approach						Integrating Postgres with Apache Camel and ActiveMQ
Riverside Suite (3rd Floor)							TIBCO Data Science						Building a code-security service using time-series data in Postgres

	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00
Metropolitan Ballroom East (2nd Floor)							Career Fair
New York Ballroom East (3rd Floor)	All the dirt on VACUUM						Diversity and Inclusiveness Panel
New York Ballroom West (3rd Floor)	When to use JSONB and When not to use JSONB in postgres
Riverside Ballroom (3rd Floor)	Integrating Postgres with Apache Camel and ActiveMQ
Riverside Suite (3rd Floor)	Building a code-security service using time-series data in Postgres

	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Metropolitan Ballroom East (2nd Floor)	Career Fair
New York Ballroom East (3rd Floor)							Logical Replication… Let’s do it LIVE!						Streaming ETL in Practice with PostgreSQL, Apache Kafka, and KSQL
New York Ballroom West (3rd Floor)							Ace it with ACID						High-performance Coding: a Rust-based tree hash for large files
Riverside Ballroom (3rd Floor)							Introducing PostgreSQL in Azure Data Studio						Shadow Tables vers PGAudit
Riverside Suite (3rd Floor)							Building a scalable realtime GraphQL API (GraphQL subcriptions) on Postgres			The wonders of CTE's			400% performance improvement after tuning these PostgreSQL parameters

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Streaming ETL in Practice with PostgreSQL, Apache Kafka, and KSQL						Conference Closing
New York Ballroom West (3rd Floor)	High-performance Coding: a Rust-based tree hash for large files
Riverside Ballroom (3rd Floor)	Shadow Tables vers PGAudit
Riverside Suite (3rd Floor)	400% performance improvement after tuning these PostgreSQL parameters

	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

	08: 00	08: 10	08: 20	08: 30	08: 40	08: 50	09: 00	09: 10	09: 20	09: 30	09: 40	09: 50	10: 00	10: 10	10: 20	10: 30	10: 40	10: 50	11: 00
Metropolitan Ballroom East (2nd Floor)																			Career Fair
New York Ballroom East (3rd Floor)							Fully Automating the Entire PostgreSQL Lifecycle						All the dirt on VACUUM						Diversity and Inclusiveness Panel
New York Ballroom West (3rd Floor)							Mitigating Your Database Migration Challenges						When to use JSONB and When not to use JSONB in postgres
Riverside Ballroom (3rd Floor)							Whats slowing down my database a Dev-Ops approach						Integrating Postgres with Apache Camel and ActiveMQ
Riverside Suite (3rd Floor)							TIBCO Data Science						Building a code-security service using time-series data in Postgres

	11: 00	11: 10	11: 20	11: 30	11: 40	11: 50	12: 00	12: 10	12: 20	12: 30	12: 40	12: 50	13: 00	13: 10	13: 20	13: 30	13: 40	13: 50	14: 00
Metropolitan Ballroom East (2nd Floor)	Career Fair
New York Ballroom East (3rd Floor)	Diversity and Inclusiveness Panel												Logical Replication… Let’s do it LIVE!						Streaming ETL in Practice with PostgreSQL, Apache Kafka, and KSQL
New York Ballroom West (3rd Floor)													Ace it with ACID						High-performance Coding: a Rust-based tree hash for large files
Riverside Ballroom (3rd Floor)													Introducing PostgreSQL in Azure Data Studio						Shadow Tables vers PGAudit
Riverside Suite (3rd Floor)													Building a scalable realtime GraphQL API (GraphQL subcriptions) on Postgres			The wonders of CTE's			400% performance improvement after tuning these PostgreSQL parameters

	14: 00	14: 10	14: 20	14: 30	14: 40	14: 50	15: 00	15: 10	15: 20	15: 30	15: 40	15: 50	16: 00	16: 10	16: 20	16: 30	16: 40	16: 50	17: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)	Streaming ETL in Practice with PostgreSQL, Apache Kafka, and KSQL						Conference Closing
New York Ballroom West (3rd Floor)	High-performance Coding: a Rust-based tree hash for large files
Riverside Ballroom (3rd Floor)	Shadow Tables vers PGAudit
Riverside Suite (3rd Floor)	400% performance improvement after tuning these PostgreSQL parameters

	17: 00	17: 10	17: 20	17: 30	17: 40	17: 50	18: 00	18: 10	18: 20	18: 30	18: 40	18: 50	19: 00	19: 10	19: 20	19: 30	19: 40	19: 50	20: 00
Metropolitan Ballroom East (2nd Floor)
New York Ballroom East (3rd Floor)
New York Ballroom West (3rd Floor)
Riverside Ballroom (3rd Floor)
Riverside Suite (3rd Floor)

Code of Conduct

Code of Conduct

Introduction

Postgres Conference (PostgresConf) prides itself on the quality of our community and our work, and the technical and professional accomplishments of our community. We expect everyone who participates to conduct themselves in a professional manner, acting with common courtesy and in the common interest, with respect for all of our community.

It is the expectation that PostgresConf community members will adhere to the PostgresConf Code of Conduct (CoC).

Inclusivity and Appropriate Conduct

PostgresConf is open to participation by anyone with an interest in working with Postgres and related technologies, regardless of their level of experience with the software, or with technology in general. We encourage contributions from all individuals, whatever their background may be.

Personal attacks and negative comments on personal characteristics are unacceptable, and will not be permitted. Examples of personal characteristics include, but are not limited to age, race, national origin or ancestry, religion, political affiliation, gender, or sexual orientation.

Additional behaviors which are also violations of this CoC include, but are not limited to, threats of violence against an individual or group, threats of professional, community, and/or project sabotage, unwelcome sexual attention in any form, engaging in behavior that may bring PostgresConf into disrepute, and refusing to cease inappropriate conduct when requested to do so.

Retaliation

It is also expressly forbidden for anyone to retaliate against a person who brings a complaint under this CoC, or who assists in investigating such a complaint. Retaliation may take the form of, among other actions: further personal attacks (public or private); actions which undermine an individual's professional status and/or status with their employer, coworkers, clients, or community; actions which threaten the individual's privacy, physical person, well-being, home, and/or family. Acts of retaliation will be treated in the same manner as any other violation of this CoC.

Reporting

PostgresConf believes that only objective parties can properly handle Code of Conduct issues. Therefore we contract with Lighthouse an independent and objective party to handle all reports.

There are three ways to submit a report 24 hours a day:

Website: https://www.lighthouse-services.com/postgresconf
Toll-Free Telephone:
English speaking USA and Canada: 833-490-0007
Spanish speaking USA and Canada: 800-216-1288
E-mail: reports@lighthouse-services.com (include PG Central Foundation within the report)

Acting in Good Faith

Any allegations that prove not to be substantiated, and which prove to have been made maliciously or knowingly to be false, will be viewed as a serious community offense and a violation of this CoC.

Conclusion

We encourage appropriate and collegial relationships among community members; however, members must be sensitive to conduct that may be considered offensive by fellow members and must refrain from engaging in such conduct.

In all interactions with the community, use your professional judgment, and keep the discussion focused on moving our project and our community forward in a positive direction for all.

Presentation Guidelines

Presentation Guidelines

Why Guidelines

The Postgres Conference is a non-profit, community driven conference series delivering the largest education and advocacy platform for Postgres. In an effort to create a productive and profitable environment for our community we must set a bar of expectation for content and we set the bar high.

The community is comprised of users, developers, core-contributors, sponsors, advocates, and external communities. We work hard to create a professional, valuable, and highly educational environment that produces a net result of, “Wow, that conference was very well done. It had great content with knowledgeable professionals, educators and advocates!”

Types of Presentations We Accept

Any presentation that has a tie-in to Postgres will be considered for acceptance into one of our event programs. This includes, but is not limited to, presentations on Open Source Projects, Postgres forks, extensions, new APIs, and languages. As a conference that makes it a goal to incorporate the entire community we also consider business cases, product talks, and service presentations. Presentations that are not related to the success of Postgres will not be considered.

Laptop connections supported

The Postgres Conference will provide a HDMI connection. If you do not have a HDMI port, it is the speaker’s responsibility to provide an adapter.

What about X technology?

When considering whether to submit a topic or not, ask yourself, “Is this presentation in some way related to the success of Postgres?” If it is, then it will be considered. This includes limitations of our great database. It also includes forks of Postgres both closed and Open Source. These types projects and products ultimately contribute to the success of Postgres.

How do presentations on forks or closed source versions help the success of Postgres?

Postgres is BSD style licensed. The BSD license is a true freedom license. The only license that maintains a higher level of freedom for Open Source development is the anti-license: Public Domain. That means the community embraces all forms of use for Postgres as long as it abides by the license.

A presentation on RDS Postgres, Google Cloud Postgres or Greenplum increases overall success via visibility, lowers the barrier of entry for new Postgres users, and supports our commercial community with hard earned efforts to create Postgres products.

Shouldn’t the community be promoting Open Source solutions over proprietary closed source solutions?

Yes, the end goal is that the deployed Postgres is the Open Source Postgres and preference will always be given to Open Source Postgres presentations. However, we offer presentation opportunities to our sponsors that may or may not advocate Open Source Postgres. Sponsors are welcome to present on any topic as long as it follows the guideline of: Does it promote the success of Postgres?

Types of Presentations

PostgresConf offers several presentation opportunities:

Presentation: 20 minutes
Breakout Sessions: 50 minutes
Keynotes: 10 and 20 minutes
Half and Full Day trainings (NOTE: Paid registrants receive priority seating, and trainings are restricted according to badge level)

Cancellation Policy

This tool is free software, released under the MIT license. You can run, copy, distribute, study, change and improve it. The source code and the developers are on github.