Udemy – TimescaleDB: Building Scalable Time-Series Applications

TimescaleDB is an open-source time-series database built on top of PostgreSQL. It is designed to efficiently store, manage, and analyze time-stamped or sequential data such as IoT sensor readings, financial transactions, application logs, and performance metrics. TimescaleDB combines the scalability and speed of a time-series database with the flexibility and reliability of PostgreSQL, allowing you to use standard SQL for queries, joins, and analytics while benefiting from specialized optimizations for time-based data.

How TimescaleDB Works

1. Built on PostgreSQL

TimescaleDB operates as an extension to PostgreSQL, not a separate database engine.
This means it inherits all PostgreSQL features, including:

• ACID transactions
• Rich SQL capabilities
• Joins, indexing, and constraints
• Compatibility with PostgreSQL drivers, ORMs, and tools

You can install it locally, in Docker, or in the cloud, and continue to use familiar SQL syntax.

2. Hypertables: The Core Concept

The central idea behind TimescaleDB is the hypertable. A hypertable is a logical table that automatically partitions your data into smaller, more manageable chunks based on time (and optionally another dimension like device ID or region).

This allows TimescaleDB to:

• Speed up inserts by writing only to the latest chunk
• Optimize queries by scanning only the relevant chunks
• Handle billions of rows without manual partitioning

In other words, a hypertable looks like a regular SQL table but scales like a distributed time-series database.

DOWNLOAD LINK: TimescaleDB Building Scalable Time-Series Applications

TimescaleDB_Building_Scalable_Time-Series_Applications.part1.rar – 1000.0 MB
TimescaleDB_Building_Scalable_Time-Series_Applications.part2.rar – 1000.0 MB
TimescaleDB_Building_Scalable_Time-Series_Applications.part3.rar – 1000.0 MB
TimescaleDB_Building_Scalable_Time-Series_Applications.part4.rar – 1000.0 MB
TimescaleDB_Building_Scalable_Time-Series_Applications.part5.rar – 897.9 MB

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