Making Kafka Queryable with Apache Pinot • Tim Berglund • GOTO 2023

This presentation was recorded at GOTO Copenhagen 2023. #GOTOcon #GOTOcph

Tim Berglund - VP DevRel StarTree & Author of "Gradle Beyond the Basics" @tlberglund @StarTree

RESOURCES

ABSTRACT
Apache Kafka has become the standard infrastructure for event-driven and streaming data systems. The stunningly simple abstraction of the distributed log provides exactly what modern microservices and real-time systems need, but no choice is without its tradeoffs. Logs are an excellent way to keep track of events, but they are notoriously difficult to query. Given a constellation of services exchanging events with each other and reacting to inputs in real time, how can you find out—and gain insight into—what has just happened? How, in other words, do you query a log? This is where Apache Pinot comes in.

Developed at LinkedIn alongside Kafka, Pinot is a distributed, real-time analytics database designed to ingest data from Kafka (and other sources) and make it instantly queryable at low latency in the face of a huge number of concurrent requests. All that data tucked neatly away into topics, maintaining an immutable record of how the state of the system has evolved, can now be ingested into Pinot and made accessible through simple SQL queries.

This talk explores Pinot's internal architecture, how its integration with Kafka is specially optimized, and how Pinot fits architecturally in the modern streaming stack. You'll leave understanding how Pinot works, how it fits together with Kafka, where it has been used successfully in the real world, and what steps to take next in your own Pinot learning journey. [...]

TIMECODES
00:00 Intro
02:57 A brief history
12:53 Pinot architecture
24:04 Indexes
32:29 Ingest
41:51 Remember our history
44:57 Outro

Download slides and read the full abstract here:

RECOMMENDED BOOKS

#ApachePinot #Analytics #RealTime #RealTimeAnalytics #TimBerglund #StarTree #StarTreeCloud #Cloud #ApachePinotTutorial #ApachePinotTraining #Snowflake #ApacheZooKeeper #ApacheHelix #Hadoop #ApacheSpark

Looking for a unique learning experience?

SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily.