Event Streams in Action: Real-time event systems with Kafka and Kinesis
- Length: 344 pages
- Publication Date: 2019-05-30
Transactional Machine Learning with Data Streams and AutoML: Build Frictionless and Elastic Machine Learning Solutions with Apache Kafka in the Cloud Using Python
- Length: 291 pages
- Publication Date: 2021-06-19
Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot
by Mark Needham
- Length: 218 pages
- Publication Date: 2023-10-24
Mastering Kafka Streams and ksqlDB: Building Real-Time Data Systems by Example
- Length: 432 pages
- Publication Date: 2021-03-23
Big Data SMACK: A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka
- Length: 264 pages
- Publication Date: 2016-09-29
Microservices Deployment Cookbook
- Length: 305 pages
- Publication Date: 2017-04-06
Fast Data Processing Systems with SMACK Stack
- Length: 348 pages
- Publication Date: 2017-01-05
Practical Hadoop Ecosystem: A Definitive Guide to Hadoop-Related Frameworks and Tools
by Deepak Vohra
- Length: 421 pages
- Publication Date: 2016-10-01
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
- Length: 357 pages
- Publication Date: 2020-10-23
Practical Apache Spark: Using the Scala API
- Length: 280 pages
- Publication Date: 2019-01-02
Creating Maintainable APIs: A Practical, Case-Study Approach
by Ervin Varga
- Length: 293 pages
- Publication Date: 2016-12-13