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on
1
- Intro
2
- Kafka for Streams
3
- Iceberg for Tables
4
- Plugging in Heads
5
- Benefits of HDA
6
- Difference between HDA and Data Lake
7
- Tableflow for Streams-to-Tables
8
- Summary
Description:
Explore the concept of headless data architecture in this 11-minute video presented by Adam Bellemare. Discover the basics of this emerging pattern, driven by the decoupling of data computation from storage. Learn how it provides a modular data ecosystem, allowing for near real-time low latency use cases through data streaming and analytical use cases using Iceberg tables. Understand the flexibility of plugging in various processors into the stream/table data layer and the benefits of composing applications, services, and data warehouses/lakes using this modular approach. Compare headless data architecture with traditional data lakes, and explore Tableflow for streams-to-tables conversion. Gain insights into the potential of this architecture to eliminate data copying, pipeline building, and chronic break-fix work in data management.

What is a Headless Data Architecture? - Understanding the Modular Approach to Data Management

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