Gwen Shapira's Books

Hadoop Application Architectures

Designing Real-World Big Data Applications

By: Mark Grover,Ted Malaska,Jonathan Seidman,Gwen Shapira

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Hadoop Application Architectures

Designing Real-World Big Data Applications

By: Mark Grover,Ted Malaska,Jonathan Seidman,Gwen Shapira

Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessary to tie those components together into a complete tailored application, based on your particular use case. To reinforce those lessons, the book’s second section provides detailed examples of architectures used in some of the most commonly found Hadoop applications. Whether you’re designing a new Hadoop application, or planning to integrate Hadoop into your existing data infrastructure, Hadoop Application Architectures will skillfully guide you through the process. This book covers: Factors to consider when using Hadoop to store and model data Best practices for moving data in and out of the system Data processing frameworks, including MapReduce, Spark, and Hive Common Hadoop processing patterns, such as removing duplicate records and using windowing analytics Giraph, GraphX, and other tools for large graph processing on Hadoop Using workflow orchestration and scheduling tools such as Apache Oozie Near-real-time stream processing with Apache Storm, Apache Spark Streaming, and Apache Flume Architecture examples for clickstream analysis, fraud detection, and data warehousing

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Page Count

425

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1491900059

ISBN 13

9781491900055

Kafka: The Definitive Guide

By: Gwen Shapira,Todd Palino,Rajini Sivaram,Krit Petty

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Kafka: The Definitive Guide

By: Gwen Shapira,Todd Palino,Rajini Sivaram,Krit Petty

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient API, transactions, new security features, and tooling changes. Engineers from Confluent and LinkedIn responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream processing applications with this platform. Through detailed examples, you'll learn Kafka's design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. You'll examine: Best practices for deploying and configuring Kafka Kafka producers and consumers for writing and reading messages Patterns and use-case requirements to ensure reliable data delivery Best practices for building data pipelines and applications with Kafka How to perform monitoring, tuning, and maintenance tasks with Kafka in production The most critical metrics among Kafka's operational measurements Kafka's delivery capabilities for stream processing systems

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486

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1492043052

ISBN 13

9781492043058

Kafka: The Definitive Guide

Real-Time Data and Stream Processing at Scale

By: Neha Narkhede,Gwen Shapira,Todd Palino

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Kafka: The Definitive Guide

Real-Time Data and Stream Processing at Scale

By: Neha Narkhede,Gwen Shapira,Todd Palino

Every enterprise application creates data, whether it’s log messages, metrics, user activity, outgoing messages, or something else. And how to move all of this data becomes nearly as important as the data itself. If you’re an application architect, developer, or production engineer new to Apache Kafka, this practical guide shows you how to use this open source streaming platform to handle real-time data feeds. Engineers from Confluent and LinkedIn who are responsible for developing Kafka explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. Through detailed examples, you’ll learn Kafka’s design principles, reliability guarantees, key APIs, and architecture details, including the replication protocol, the controller, and the storage layer. Understand publish-subscribe messaging and how it fits in the big data ecosystem. Explore Kafka producers and consumers for writing and reading messages Understand Kafka patterns and use-case requirements to ensure reliable data delivery Get best practices for building data pipelines and applications with Kafka Manage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasks Learn the most critical metrics among Kafka’s operational measurements Explore how Kafka’s stream delivery capabilities make it a perfect source for stream processing systems

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Page Count

315

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1491936118

ISBN 13

9781491936115

Kafka: The Definitive Guide

Real-Time Data and Stream Processing at Scale

By: Neha Narkhede,Gwen Shapira,Todd Palino

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Kafka: The Definitive Guide

Real-Time Data and Stream Processing at Scale

By: Neha Narkhede,Gwen Shapira,Todd Palino

Learn how to take full advantage of Apache Kafka, the distributed, publish-subscribe queue for handling real-time data feeds. With this comprehensive book, you will understand how Kafka works and how it is designed. Authors Neha Narkhede, Gwen Shapira, and Todd Palino show you how to deploy production Kafka clusters; secure, tune, and monitor them; write rock-solid applications that use Kafka; and build scalable stream-processing applications. Learn how Kafka compares to other queues, and where it fits in the big data ecosystem. Dive into Kafka's internal designPick up best practices for developing applications that use Kafka. Understand the best way to deploy Kafka in production monitoring, tuning, and maintenance tasks. Learn how to secure a Kafka cluster.

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Page Count

322

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1491936134

ISBN 13

9781491936139

Kafka: The Definitive Guide

By: Gwen Shapira,Todd Palino,Rajini Sivaram,Krit Petty

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Kafka: The Definitive Guide

By: Gwen Shapira,Todd Palino,Rajini Sivaram,Krit Petty

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N/A

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Solve jigsaw puzzle

Age

Page Count

486

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1492043052

ISBN 13

9781492043058

Hadoop Application Architectures

Designing Real-World Big Data Applications

By: Mark Grover,Ted Malaska,Jonathan Seidman,Gwen Shapira

Write a review Read reviews Take a Quiz Solve Book Puzzle

Hadoop Application Architectures

Designing Real-World Big Data Applications

By: Mark Grover,Ted Malaska,Jonathan Seidman,Gwen Shapira

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

425

Publisher

"O'Reilly Media, Inc."

Published Date

ISBN 10

1491900059

ISBN 13

9781491900055

Book's by Gwen Shapira

Hadoop Application Architectures

Hadoop Application Architectures

Kafka: The Definitive Guide

Kafka: The Definitive Guide

Kafka: The Definitive Guide

Kafka: The Definitive Guide

Kafka: The Definitive Guide

Kafka: The Definitive Guide

Kafka: The Definitive Guide

Kafka: The Definitive Guide

Hadoop Application Architectures

Hadoop Application Architectures

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