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Google Mesa: A Geo-Replicated, Near Real-Time Data Warehouse

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Manage episode 487366627 series 3670304
Content provided by The Binary Breakdown. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Binary Breakdown or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

**Mesa** is a highly scalable, geo-replicated data warehousing system developed at Google to handle petabytes of data related to its advertising business. **Designed for near real-time data ingestion and querying**, it processes millions of updates per second and serves billions of queries daily. **Key features include strong consistency, high availability, and fault tolerance**, achieved through techniques like multi-version concurrency control and Paxos-based distributed synchronization. The paper details Mesa's architecture, including its storage subsystem using versioned data management with delta compaction, and its multi-datacenter deployment. Finally, it explores operational challenges and lessons learned in building and maintaining such a large-scale system.

https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=bb1af5424e972c0c15f21e3847708e4d393abfae

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43 episodes

Artwork
iconShare
 
Manage episode 487366627 series 3670304
Content provided by The Binary Breakdown. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Binary Breakdown or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

**Mesa** is a highly scalable, geo-replicated data warehousing system developed at Google to handle petabytes of data related to its advertising business. **Designed for near real-time data ingestion and querying**, it processes millions of updates per second and serves billions of queries daily. **Key features include strong consistency, high availability, and fault tolerance**, achieved through techniques like multi-version concurrency control and Paxos-based distributed synchronization. The paper details Mesa's architecture, including its storage subsystem using versioned data management with delta compaction, and its multi-datacenter deployment. Finally, it explores operational challenges and lessons learned in building and maintaining such a large-scale system.

https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=bb1af5424e972c0c15f21e3847708e4d393abfae

  continue reading

43 episodes

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