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Apache Druid 24.0 - Multi-stage Query Framework
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Apache Druid ingestion is getting a new interface: SQL! This video describes the new SQL based batch ingestion that works at any scale and faster than ever. We review the Multi-stage Query Framework and how it enables these new capabilities.
This video by @sergioferragut7232 explains how the first release of the multi-stage query framework in Apache Druid enables SQL based ingestion.
00:00 - Intro
01:00 - SQL Based Ingestion Proposal
03:25 - Architecture
10:00 - SQL Based Ingestion
22:55 - Processing Stages
Learn More:
To find out more about MSQ and SQL-base ingestion, check out the following GitHub issues on the Apache Druid project:
Join the Apache Druid workspace on Slack:
Connect:
About Imply
Developers are in the driver’s seat when it comes to analytics, building applications that serve real-time insights on terabytes to petabytes of streaming and batch data at hundreds to thousands of queries per second.
With Imply, developers have a database that is uniquely built for these analytics applications, delivering sub-second queries at scale and under load. The result? No spinning wheel and no limit to the analytics in their applications.
This video by @sergioferragut7232 explains how the first release of the multi-stage query framework in Apache Druid enables SQL based ingestion.
00:00 - Intro
01:00 - SQL Based Ingestion Proposal
03:25 - Architecture
10:00 - SQL Based Ingestion
22:55 - Processing Stages
Learn More:
To find out more about MSQ and SQL-base ingestion, check out the following GitHub issues on the Apache Druid project:
Join the Apache Druid workspace on Slack:
Connect:
About Imply
Developers are in the driver’s seat when it comes to analytics, building applications that serve real-time insights on terabytes to petabytes of streaming and batch data at hundreds to thousands of queries per second.
With Imply, developers have a database that is uniquely built for these analytics applications, delivering sub-second queries at scale and under load. The result? No spinning wheel and no limit to the analytics in their applications.