Kafka Connect
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Kafka Connect
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Author : Mickael Maison
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-09-18
Kafka Connect written by Mickael Maison and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-18 with Computers categories.
Used by more than 80% of Fortune 100 companies, Apache Kafka has become the de facto event streaming platform. Kafka Connect is a key component of Kafka that lets you flow data between your existing systems and Kafka to process data in real time. With this practical guide, authors Mickael Maison and Kate Stanley show data engineers, site reliability engineers, and application developers how to build data pipelines between Kafka clusters and a variety of data sources and sinks. Kafka Connect allows you to quickly adopt Kafka by tapping into existing data and enabling many advanced use cases. No matter where you are in your event streaming journey, Kafka Connect is the ideal tool for building a modern data pipeline. Learn Kafka Connect's capabilities, main concepts, and terminology Design data and event streaming pipelines that use Kafka Connect Configure and operate Kafka Connect environments at scale Deploy secured and highly available Kafka Connect clusters Build sink and source connectors and single message transforms and converters
Kafka The Definitive Guide
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Author : Neha Narkhede
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2017-08-31
Kafka The Definitive Guide written by Neha Narkhede and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-31 with Computers categories.
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.
Mastering Kafka Streams And Ksqldb
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Author : Mitch Seymour
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-02-04
Mastering Kafka Streams And Ksqldb written by Mitch Seymour and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-04 with Computers categories.
Working with unbounded and fast-moving data streams has historically been difficult. But with Kafka Streams and ksqlDB, building stream processing applications is easy and fun. This practical guide shows data engineers how to use these tools to build highly scalable stream processing applications for moving, enriching, and transforming large amounts of data in real time. Mitch Seymour, data services engineer at Mailchimp, explains important stream processing concepts against a backdrop of several interesting business problems. You'll learn the strengths of both Kafka Streams and ksqlDB to help you choose the best tool for each unique stream processing project. Non-Java developers will find the ksqlDB path to be an especially gentle introduction to stream processing. Learn the basics of Kafka and the pub/sub communication pattern Build stateless and stateful stream processing applications using Kafka Streams and ksqlDB Perform advanced stateful operations, including windowed joins and aggregations Understand how stateful processing works under the hood Learn about ksqlDB's data integration features, powered by Kafka Connect Work with different types of collections in ksqlDB and perform push and pull queries Deploy your Kafka Streams and ksqlDB applications to production
Modern Big Data Processing With Hadoop
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Author : V Naresh Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-03-30
Modern Big Data Processing With Hadoop written by V Naresh Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-30 with Computers categories.
A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop Key Features -Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform -Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more -A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect Book Description The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems. What you will learn Build an efficient enterprise Big Data strategy centered around Apache Hadoop Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari Design effective streaming data pipelines and build your own enterprise search solutions Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset Plan, set up and administer your Hadoop cluster efficiently Who this book is for This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book.
Advanced Apache Kafka Engineering High Performance Streaming Applications
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Author : Peter Jones
language : en
Publisher: Walzone Press
Release Date : 2025-01-09
Advanced Apache Kafka Engineering High Performance Streaming Applications written by Peter Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-09 with Computers categories.
Unlock the powerful capabilities of Apache Kafka with "Advanced Apache Kafka: Engineering High-Performance Streaming Applications," the essential guide for developers, data architects, and operations engineers looking to master real-time data streaming. This comprehensive book offers a deep dive into every aspect of Apache Kafka, from the fundamentals of its architecture to advanced features and optimization techniques. Structured to foster a robust learning experience, the chapters methodically cover setting up Kafka, producing and consuming messages efficiently, stream processing, securing your Kafka cluster, and much more. Whether you're deploying Kafka in the cloud, optimizing performance, or integrating Kafka with other systems, this book provides the expert knowledge and practical insights needed for successful implementation. "Advanced Apache Kafka" is more than just a technical manual; it’s a toolkit designed to equip professionals with the skills to innovate and solve the challenges of processing vast streams of real-time data. With this book, you’ll gain the confidence to effectively build, optimize, and secure your streaming applications using Apache Kafka. Dive into the world of Kafka and transform the way you handle real-time data in your organization.
Streaming Data Mesh
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Author : Hubert Dulay
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-05-11
Streaming Data Mesh written by Hubert Dulay and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-11 with Computers categories.
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data
Kafka The Definitive Guide
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Author : Gwen Shapira
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-11-05
Kafka The Definitive Guide written by Gwen Shapira and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-05 with Computers categories.
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
Kafka Streams In Action
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Author : Bill Bejeck
language : en
Publisher: Simon and Schuster
Release Date : 2018-08-29
Kafka Streams In Action written by Bill Bejeck and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.
Summary Kafka Streams in Action teaches you everything you need to know to implement stream processing on data flowing into your Kafka platform, allowing you to focus on getting more from your data without sacrificing time or effort. Foreword by Neha Narkhede, Cocreator of Apache Kafka Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Not all stream-based applications require a dedicated processing cluster. The lightweight Kafka Streams library provides exactly the power and simplicity you need for message handling in microservices and real-time event processing. With the Kafka Streams API, you filter and transform data streams with just Kafka and your application. About the Book Kafka Streams in Action teaches you to implement stream processing within the Kafka platform. In this easy-to-follow book, you'll explore real-world examples to collect, transform, and aggregate data, work with multiple processors, and handle real-time events. You'll even dive into streaming SQL with KSQL! Practical to the very end, it finishes with testing and operational aspects, such as monitoring and debugging. What's inside Using the KStreams API Filtering, transforming, and splitting data Working with the Processor API Integrating with external systems About the Reader Assumes some experience with distributed systems. No knowledge of Kafka or streaming applications required. About the Author Bill Bejeck is a Kafka Streams contributor and Confluent engineer with over 15 years of software development experience. Table of Contents PART 1 - GETTING STARTED WITH KAFKA STREAMS Welcome to Kafka Streams Kafka quicklyPART 2 - KAFKA STREAMS DEVELOPMENT Developing Kafka Streams Streams and state The KTable API The Processor APIPART 3 - ADMINISTERING KAFKA STREAMS Monitoring and performance Testing a Kafka Streams applicationPART 4 - ADVANCED CONCEPTS WITH KAFKA STREAMS Advanced applications with Kafka StreamsAPPENDIXES Appendix A - Additional configuration information Appendix B - Exactly once semantics
Kafka Mastery Guide Comprehensive Techniques And Insights
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Author : Adam Jones
language : en
Publisher: Walzone Press
Release Date : 2024-12-11
Kafka Mastery Guide Comprehensive Techniques And Insights written by Adam Jones and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-11 with Computers categories.
Unlock the full potential of Apache Kafka with "Kafka Mastery Guide: Comprehensive Techniques and Insights," your all-encompassing manual to the world’s leading distributed event streaming platform. Whether you're embarking on your Kafka journey or seeking to master its advanced intricacies, this book provides everything you need to successfully deploy, manage, and optimize Kafka across any environment. Inside "Kafka Mastery Guide: Comprehensive Techniques and Insights," you'll experience a seamless transition from the foundational principles of Kafka’s architecture to the more complex facets of its ecosystem. Discover how to efficiently produce and consume messages, scale Kafka in cloud environments, handle data serialization, and process streams in real-time, maximizing the potential of your data streams. The guide delves beyond the basics, offering in-depth exploration of Kafka security, monitoring, performance tuning, and the platform's most recent innovative features. Each chapter is rich with practical insights, comprehensive explanations, and applicable real-world scenarios, empowering you to adeptly manage Kafka's complexities. Designed for software developers, data engineers, system architects, and anyone engaged in data processing systems, "Kafka Mastery Guide: Comprehensive Techniques and Insights" is your gateway to mastering event-driven architectures. Elevate your applications to new heights of performance and scalability by harnessing the power of Kafka, and revolutionize how you handle real-time data today.
Kafka For Distributed Systems
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-31
Kafka For Distributed Systems written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-31 with Computers categories.
"Kafka for Distributed Systems" "Kafka for Distributed Systems" is a comprehensive and authoritative guide for architects, engineers, and technical leaders seeking to leverage Apache Kafka's full potential in modern distributed environments. Through a methodical exploration of foundational concepts, the book elucidates the key requirements and inherent challenges of distributed systems, positioning Kafka as an architectural cornerstone for messaging, event streaming, and robust system integration. With clear explanations and context, readers learn how Kafka’s unique log abstraction, partitioning, and consumer group models enable scalable, resilient, and high-performance event-driven architectures. Structured to provide both breadth and depth, each chapter delves into essential aspects of deploying, maintaining, and optimizing Kafka in production settings. Readers gain actionable insights into Kafka's internal architecture—including brokers, topics, leaders, and replication—as well as hands-on guidance for implementing reliable producers and consumers, stateful stream processing applications, and transactional messaging with exactly-once guarantees. Advanced topics such as security and compliance, operational automation, multi-cluster topologies, and disaster recovery are addressed with practical strategies and best practices for high availability, cost efficiency, and regulatory governance. Looking ahead, the book surveys cutting-edge patterns and emerging trends shaping the future of Kafka in distributed systems, from hybrid cloud and edge computing to streaming analytics, AI integration, and serverless platforms. Whether planning a greenfield deployment or scaling a critical enterprise workload, "Kafka for Distributed Systems" equips professionals with the technical mastery to design, secure, and evolve resilient data pipelines and responsive architectures that meet the demands of today’s digital enterprise.