

Batch Data & Streaming Data in one Atom (with Jove Zhong)
10 snips Apr 24, 2024
In this engaging discussion, Jove Zhong, a contributor to the open-source database Proton, shares insights on the challenges of managing both batch and streaming data. He reveals the innovative Lambda Architecture and how Proton aims to simplify data integration. Jove dives into stream processing, addressing issues like out-of-order events and data consistency. He also explores architectural strategies for massive datasets, highlighting the use of ClickHouse for efficient querying and data handling. This conversation is a treasure trove for data enthusiasts!
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Lambda Architecture Balances Data
- Lambda architecture solves data storage by splitting live and historical data systems.
- It lets each system optimize separately but integrates them for a unified view.
Stream Processing Explained
- Stream processing tackles real-time data transformations with low latency.
- Stateful processing supports complex scenarios like session windows in streaming data.
Characteristics of True Stream Processing
- A true stream processor incrementally updates query results without reprocessing all data.
- It runs long-running queries with maintained state and resumes after restarts for efficient live data handling.