Miranda Auhl - Timescale Blog

How to Build TimescaleDB on Docker

25 Feb 2022 9 min read

Are you building TimescaleDB in Docker? This blog post walks you through everything you need to know, including step-by-step instructions and best practices.

Increase Your Storage Savings With TimescaleDB 2.6: Introducing Compression for Continuous Aggregates

23 Feb 2022 12 min read

Timescale 2.6 is now available, introducing two highly requested features by our community: compression for continuous aggregates and timezone support for continuous aggregates (the latter under experimental).

PostgreSQL vs Python for Data Cleaning: A Guide

1 Dec 2021 24 min read

Data cleaning is extremely important to the data analysis process. Get an overview of data cleaning techniques that you can use directly in your TimescaleDB or PostgreSQL database.

PostgreSQL vs Python for Data Evaluation: What, Why, and How

1 Oct 2021 25 min read

Get a primer on using TimescaleDB and PostgreSQL to more efficiently perform your data evaluation tasks - previously done in Excel, R, or Python. Complete with short SQL refresher section, along with 1-to-1 code snippets comparing TimescaleDB and PostgreSQL code against Python code.

Speeding up data analysis with TimescaleDB and PostgreSQL

9 Sep 2021 12 min read

Is your data analysis process as fast and efficient as it could be? This four-part blog series will outline common data analysis problems and how TimescaleDB and PostgreSQL fixed them by making data munging tasks within analysis fast, efficient, and easily accessible.

Hacking NFL data with PostgreSQL, TimescaleDB, and SQL

27 Jul 2021 15 min read

Learn how to use time-series data provided by the NFL to uncover valuable insights into many player performance metrics – and ways to apply the same methods to improve your fantasy league team, or your knowledge of the game - all with PostgreSQL, SQL, and freely available extensions.