filmov
tv
Apache Druid Adoption – Shape Incoming Data Effectively
![preview_player](https://i.ytimg.com/vi/dmhbnJTlnt8/maxresdefault.jpg)
Показать описание
To build any application, engineers need to prepare the data they want to surface, making it ready for the chosen database and ready for their users. Peter Marshall, Director of Imply’s Developer Relations team, shares community wisdom around making data ready for Apache Druid® ingestion and query, signposting you to need-to-know techniques for delivering modern analytics applications powered by Druid.
Learn more:
Connect:
Join the Apache Druid workspace on Slack:
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.
Learn more:
Connect:
Join the Apache Druid workspace on Slack:
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.