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Building Real Time Analytics Systems by Needham Mark (23 results)
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Condition: Fair. Book is in Used-Acceptable condition. Used items may not include supplementary materials such as CDs or access codes. Pages and cover may have wear, tears, and stickers. Pages are may contain notes and highlighting. 0.79.
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Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot (Paperback or Softback)
Published by O'Reilly Media 10/24/2023, 2023
ISBN 10: 1098138791 ISBN 13: 9781098138790
Language: English
Paperback or Softback. Condition: New. Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot 0.79. Book.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Building Real-Time Analytics Systems
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Building Real-Time Analytics Systems (Paperback)
Published by O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098138791 ISBN 13: 9781098138790
Language: English
Paperback. Condition: new. Paperback. 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. In the first part of this book, authors Mark Needham and Dunith Dhanushka from StarTree provide an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The 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. With this book, 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 static data using Kafka Streams Write real-time queries against event data stored in Apache Pinot Build a real-time dashboard, fraud detection pipeline, order tracking app, and anomaly detection system Learn how organizations like Uber, Stripe, and Just Eat use real-time analytics" 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Building Real-Time Analytics Systems : From Events to Insights With Apache Kafka and Apache Pinot
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Building Real-Time Analytics Systems
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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US$ 69.74
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Add to basketPaperback. Condition: New. 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.In the first part of this book, 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 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.With this book, 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 static data using Kafka StreamsWrite real-time queries against event data stored in Apache PinotBuild a real-time dashboard, fraud detection pipeline, order tracking app, and anomaly detection systemLearn how organizations like Uber, Stripe, and Just Eat use real-time analytics.
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Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot
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Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot
Published by O'Reilly Media 2023-10-31, 2023
ISBN 10: 1098138791 ISBN 13: 9781098138790
Language: English
US$ 53.89
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Add to basketPaperback. Condition: New.
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Building Real-Time Analytics Systems: From Events to Insights with Apache Kafka and Apache Pinot
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 526.
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Building Real Time Analytics Systems
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Building Real-Time Analytics Systems : From Events to Insights With Apache Kafka and Apache Pinot
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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Add to basketPaperback. Condition: Brand New. 250 pages. 9.19x7.00x0.46 inches. In Stock.
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Building Real-Time Analytics Systems (Paperback)
Published by O'Reilly Media, Sebastopol, 2023
ISBN 10: 1098138791 ISBN 13: 9781098138790
Language: English
US$ 92.96
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. In the first part of this book, authors Mark Needham and Dunith Dhanushka from StarTree provide an overview of the real-time analytics space and an understanding of what goes into building real-time applications. The 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. With this book, 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 static data using Kafka Streams Write real-time queries against event data stored in Apache Pinot Build a real-time dashboard, fraud detection pipeline, order tracking app, and anomaly detection system Learn how organizations like Uber, Stripe, and Just Eat use real-time analytics" 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Building Real-Time Analytics Systems : From Events to Insights with Apache Kafka and Apache Pinot
Published by O'reilly Media Sep 2023, 2023
ISBN 10: 1098138791 ISBN 13: 9781098138790
Language: English
US$ 80.84
Convert currencyUS$ 72.57 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware - 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.
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US$ 66.27
Convert currencyUS$ 87.82 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: New. 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.In the first part of this book, 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 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.With this book, 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 static data using Kafka StreamsWrite real-time queries against event data stored in Apache PinotBuild a real-time dashboard, fraud detection pipeline, order tracking app, and anomaly detection systemLearn how organizations like Uber, Stripe, and Just Eat use real-time analytics.
