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Building Real-Time Analytics Systems From Events to Insights with Apache Kafka and Apache Pinot

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Free Download Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot by Mark Needham
English | October 24, 2023 | ISBN: 1098138791 | 218 pages | MOBI | 3.78 Mb
Gain deep insight into real-time analytics, including the features of these systems and the problems they solve. With this practical book, data engineers at organizations that use event-processing systems such as Kafka, Google Pub/Sub, and AWS Kinesis will learn how to analyze data streams in real time. The faster you derive insights, the quicker you can spot changes in your business and act accordingly.​

Author Mark Needham from StarTree provides an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The book's second part offers a series of hands-on tutorials that show you how to combine multiple software products to build real-time analytics applications for an imaginary pizza delivery service.
You will:Learn common architectures for real-time analyticsDiscover how event processing differs from real-time analyticsIngest event data from Apache Kafka into Apache PinotCombine event streams with OLTP data using Debezium and Kafka StreamsWrite real-time queries against event data stored in Apache PinotBuild a real-time dashboard and order tracking appLearn how Uber, Stripe, and Just Eat use real-time analytics

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