Building real-time analytics systems : from events to insights with Apache Kafka and Apache Pinot / Mark Needham ; foreword by Gunnar Morling.

By:

Needham, Mark (Co-author of Graph algorithms) [author.]

Contributor(s):

Morling, Gunnar [writer of foreword.]

text

Media type:

unmediated

Carrier type:

volume

ISBN:

1098138791
9781098138790

Subject(s):

DDC classification:

004/.33 23 N375

Contents:

Introduction to real-time analytics -- The real-time analytics ecosystem -- Introducing all about that dough: real-time analytics on pizza -- Querying Kafka with Kafka streams -- The serving layer: Apache Pinot -- Building a real-time analytics dashboard -- Product changes captured with change data capture -- Joining streams with Kafka streams -- Upserts in the serving layer -- Geospatial querying -- Production considerations -- Real-time analytics in the real world -- The future of real-time analytics.

Summary: "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"--

Item type:

كتاب

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Holdings ( 1 )
Title notes ( 3 )

Holdings
Item type	Current library	Call number	Status	Notes	Date due	Barcode
كتاب	Central Library المكتبة المركزية	004.33 N375 (Browse shelf(Opens below))	Available	قاعة الكتب		48128

Includes index.

"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"--