Interesting Data-Related Blogs and Articles – Week of July 7, 2019



Amazon Aurora PostgreSQL Serverless – Now Generally Available

Serverless Aurora MySQL has been around for awhile, but this is the first release of serverless Aurora for PostgreSQL.
In related news, the Aurora development team just won the 2019 ACM SIGMOD Systems Award.

How 3M Health Information Systems built a healthcare data reporting tool with Amazon Redshift

A case study of modernizing a legacy data warehouse on AWS, using Redshift, including lessons learned.

Improving Amazon Redshift Performance: Our Data Warehouse Story

From Udemy Engineering, a brief overview of how column stores like Redshift differ from traditional relational databases. The author discusses how to design a database to take advantage of Redhsift’s fundamental architecture.

Optimizing Amazon DynamoDB scan latency through schema design.

An overview of improving table scans by paying attention to your attributes.


EnterpriseDB Acquired by Great Hill Partners

EnterpriseDB staff make major contributions to the PostgreSQL code base.
In a related development, Michael Stonebraker, the original architect of what is now PostgreSQL, will serve as a technical adviser to the company.

Generated columns in PostgreSQL 12

A cool new feature in the next release of PostgreSQL.
“This feature is known in various other DBMS as ‘calculated columns’, ‘virtual columns’, or ‘generated columns’.”

How We Solved a Storage Problem in PostgreSQL Without Adding a Single Byte of Storage

Pretty clever idea: reduce the size of the key used in sorting by hashing it. Probably not specific to PostgreSQL.

Postgresql Interval, Date, Timestamp and Time Data Types

“Does anyone really know what time it is?”
A primer on all the various ways of representing time in PostgreSQL.

Software Updates

AWS RDS for PostgreSQL Supports New Minor Versions (2017-07-03)

PostgreSQL versions 11.4, 10.9, 9.6.14, 9.5.18, and 9.4.23 are now available for RDS.

DBeaver 6.1.2 (Released 2019-07-07)

pgAdmin 4.10 (Released 2019-07-04)

Practices and Architecture

Figuring out the future of distributed data systems

Summary of an interview with Martin Kleppmann, author of Designing Data-Intensive Applications, which is becoming an influential book in the field.

Spark core concepts explained

A brief primer with helpful graphics.

Classic Paper or Reference of the Week

The classic “Red Book” Readings in Database Systems is now in a fifth edition and exclusively on the Web. Peter Bailis, an up-and-coming light in the database community joins Joe Hellerstein and Michael Stonebraker as editors for this edition.


Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s