Presented by:

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Ryan Booz

Timescale

Ryan is a Developer Advocate at Timescale, the supercharged time-series database built on PostgreSQL. Prior to Timescale, Ryan worked for more than 17 years as a developer, DBA and product manager in multiple ISVs delivering SaaS products based on time-series data.

Ryan is a long-time DBA, starting with MySQL and Postgres in the late 90s. He spent more than 15 years working with SQL Server and the #SQLFamily and has a desire to bring some of that community spirit into the growing PostgreSQL world. He’s at the top of his game when he's learning something new about the data platform or teaching others about the technology he loves.

No video of the event yet, sorry!

Time-series data is everywhere (really!), and it’s uniquely challenging for several reasons: it comes at an ever-increasing rate, is INSERT heavy, and often consumes lots of compute and storage resources that can be difficult to manage.

For the last decade, NoSQL databases have been many folks’ go-to technology for handling the deluge, but this came at the expense of efficient, relational queries. Being able to store this data in a relational database - and PostgreSQL in particular - empowers developers to gain powerful insights without having to build a bridge between the time-series data and the business-related data that you need to filter and report on.

In this webinar, we'll talk about what time-series data is, why you probably have a lot more than you realize, and the insights it helps you uncover about your projects, apps, users, organization, and beyond.

You’ll see how PostgreSQL and TimescaleDB solve common problems with storing and querying massive amounts of time-series data – all while using SQL and the Postgres tools and capabilities you know and love.

Because showing is better than telling, we’ll demo TimescaleDB features like native compression, continuous aggregates, specialized analytics functions, query planner enhancements, and more, and leave you with tips and resources to help you meet the demands of time-series workloads with ease.

Date:
2022 February 1 13:00 EST
Duration:
1 h
Room:
Online
Conference:
Postgres Conference Webinar Series 2022
Language:
Track:
Dev
Difficulty:
Easy
Requires Registration:
Yes (Registered: 81)