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Building real-time analytics systems: from events to insights with apache kafka and...

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Описание

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 analytics

Discover how event processing differs from real-time analytics

Ingest event data from Apache Kafka into Apache Pinot

Combine event streams with OLTP data using Debezium and Kafka Streams

Write real-time queries against event data stored in Apache Pinot

Build a real-time dashboard and order tracking app

Learn how Uber, Stripe, and Just Eat use real-time analytics

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