Presented by:

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Debra Cerda

Command Prompt, Inc.

Debra is Director of Client Success & Compliance at Command Prompt Inc., supporting clients service and project needs for PostgreSQL consulting including database architecture, management, and optimization.

Debra has a Bachelor of Science in Ecology, Evolution, and Conservation Biology. She has 25 years of experience in data acquisition, analysis, and management as well as project management and RDBMS development in both private and government sectors in the water industry.

Debra is an open source and PostgreSQL advocate, having volunteered for various Postgres events and organizations including serving of the Board of the U.S. PostgreSQL Association. She is an organizer of the Austin Postgres Meetup Group, and Postgres Conference Series, and serves as lead of the Postgres Conference Diversity, Equity, and Inclusion Initiative Workgroup for Postgres Conference series.

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Jim Nasby

Amazon Web Services

Jim discovered a passion for data and databases early in life, and was working as a database consultant before high school. Since then he has worked with everything from Foxpro to Oracle. For the past 15 years he has specialized in PostgreSQL and is an active member of it's development community. He specializes in tackling complex data challenges where data quality is critical.

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Gopinath Pai

Amazon Web Services
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Babelfish for PostgreSQL is an open source project available under the Apache 2.0 and PostgreSQL licenses. It provides the capability for PostgreSQL to understand queries from applications written for Microsoft SQL Server. Babelfish understands the SQL Server wire-protocol and T-SQL, the Microsoft SQL Server query language, so you don’t have to switch database drivers or re-write all of your application queries. With Babelfish, applications currently running on SQL Server can now run directly on PostgreSQL with fewer code changes.

Date:
2022 April 8 16:20 PDT
Duration:
50 min
Room:
Winchester
Conference:
Silicon Valley 2022
Language:
Track:
Ops
Difficulty:
Medium