Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time.
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Specifications
Book Details
Imprint
2021-03-25
Publication Year
2021 2021-03-25
Contributors
Author Info
Mitch Seymour is a Senior Data Systems Engineer at Mailchimp. Using Kafka Streams and KSQL, he has built several stream processing applications that process billions of events per day with sub-second latency. He is active in the open source community, has presented about stream processing technologies at international conferences (Kafka Summit London, 2019), speaks about Kafka Streams and KSQL at local meetups, and is a contributor to the Confluent blog.
Dimensions
Width
7
Height
9
Depth
0.8
Weight
700
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