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Three heretical opinions about the future of time-series data

Mike Freedman at dotScale 2018

TimescaleDB offers three seemingly heretical insights about data: (1) all data is time-series; (2) what you've heard about it is wrong; and (3) SQL should and does remain the lingua franca for databases.

These insights enable new possibilities for architecting database systems, and Mike briefly discusses how TimescaleDB, an open-source time-series database purpose-built on top of PostgreSQL, realizes these needs.

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TimescaleDB offers three seemingly heretical insights about data and the future of data storage:

1- All data is time-series data.

2- What you've heard about modeling and storing time-series data is wrong.

3- Time-series data has an inherently relational structure; use SQL.

Time-series data is quickly becoming a major workload across practically every industry. Acting on time-series data enables us to understand the past, have more control over the present, and predict the future. Putting it to use is a critical business opportunity.

Mike discusses why these insights matter and how they enable new possibilities for architecting database systems. He also reviews how TimescaleDB, an open-source time-series database purpose-built on top of PostgreSQL, enables the flexibility, power, and performance needed to realize time-series data storage and analytics.

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