Kafka Action by Scott Dylan (29 results)

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Paperback. Condition: New. Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more.   In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue.   Key Features ·   Understanding Kafka's concepts ·   Implementing Kafka as a message queue ·   Setting up and executing basic ETL tasks ·   Recording and consuming streaming data ·   Working with Kafka producers and consumers from Java applications ·   Using Kafka as part of a large data project team ·   Performing Kafka developer and admin tasks   Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required.   About the technology Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka.   Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry. …

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Paperback. Condition: new. Paperback. Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more. In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue. Key Features Understanding Kafka's concepts Implementing Kafka as a message queue Setting up and executing basic ETL tasks Recording and consuming streaming data Working with Kafka producers and consumers from Java applications Using Kafka as part of a large data project team Performing Kafka developer and admin tasks Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required. About the technology Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka. Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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Paperback. Condition: New. Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more.   In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue.   Key Features ·   Understanding Kafka's concepts ·   Implementing Kafka as a message queue ·   Setting up and executing basic ETL tasks ·   Recording and consuming streaming data ·   Working with Kafka producers and consumers from Java applications ·   Using Kafka as part of a large data project team ·   Performing Kafka developer and admin tasks   Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required.   About the technology Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka.   Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry. …

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Taschenbuch. Condition: Neu. Neuware - Master the wicked-fast Apache Kafka streaming platform through hands-on examples and real-world projects.In Kafka in Action you will learn:Understanding Apache Kafka conceptsSetting up and executing basic ETL tasks using Kafka ConnectUsing Kafka as part of a large data project teamPerforming administrative tasksProducing and consuming event streamsWorking with Kafka from Java applicationsImplementing Kafka as a message queueKafka in Action is a fast-paced introduction to every aspect of working with Apache Kafka. Starting with an overview of Kafka's core concepts, you'll immediately learn how to set up and execute basic data movement tasks and how to produce and consume streams of events. Advancing quickly, you'll soon be ready to use Kafka in your day-to-day workflow, and start digging into even more advanced Kafka topics.About the technologyThink of Apache Kafka as a high performance software bus that facilitates event streaming, logging, analytics, and other data pipeline tasks. With Kafka, you can easily build features like operational data monitoring and large-scale event processing into both large and small-scale applications.About the bookKafka in Action introduces the core features of Kafka, along with relevant examples of how to use it in real applications. In it, you'll explore the most common use cases such as logging and managing streaming data. When you're done, you'll be ready to handle both basic developer- and admin-based tasks in a Kafka-focused team.What's insideKafka as an event streaming platformKafka producers and consumers from Java applicationsKafka as part of a large data projectAbout the readerFor intermediate Java developers or data engineers. No prior knowledge of Kafka required.About the authorDylan Scott is a software developer in the insurance industry. Viktor Gamov is a Kafka-focused developer advocate. At Confluent, Dave Klein helps developers, teams, and enterprises harness the power of event streaming with Apache Kafka.Table of ContentsPART 1 GETTING STARTED1 Introduction to Kafka2 Getting to know KafkaPART 2 APPLYING KAFK3 Designing a Kafka project4 Producers: Sourcing data5 Consumers: Unlocking data6 Brokers7 Topics and partitions8 Kafka storage9 Management: Tools and loggingPART 3 GOING FURTHER10 Protecting Kafka11 Schema registry12 Stream processing with Kafka Streams and ksqlDB.…

Condition: New. &Uumlber den AutorDylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in t.

Paperback. Condition: New. Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more.   In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue.   Key Features ·   Understanding Kafka's concepts ·   Implementing Kafka as a message queue ·   Setting up and executing basic ETL tasks ·   Recording and consuming streaming data ·   Working with Kafka producers and consumers from Java applications ·   Using Kafka as part of a large data project team ·   Performing Kafka developer and admin tasks   Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required.   About the technology Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka.   Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry. …

Paperback. Condition: new. Paperback. Kafka in Action is a practical, hands-on guide to building Kafka-based data pipelines. Filled with real-world use cases and scenarios, this book probes Kafka's most common use cases, ranging from simple logging through managing streaming data systems for message routing, analytics, and more. In systems that handle big data, streaming data, or fast data, it's important to get your data pipelines right. Apache Kafka is a wicked-fast distributed streaming platform that operates as more than just a persistent log or a flexible message queue. Key Features Understanding Kafka's concepts Implementing Kafka as a message queue Setting up and executing basic ETL tasks Recording and consuming streaming data Working with Kafka producers and consumers from Java applications Using Kafka as part of a large data project team Performing Kafka developer and admin tasks Written for intermediate Java developers or data engineers. No prior knowledge of Kafka is required. About the technology Apache Kafka is a distributed streaming platform for logging and streaming data between services or applications. With Kafka, it's easy to build applications that can act on or react to data streams as they flow through your system. Operational data monitoring, large scale message processing, website activity tracking, log aggregation, and more are all possible with Kafka. Dylan Scott is a software developer with over ten years of experience in Java and Perl. His experience includes implementing Kafka as a messaging system for a large data migration, and he uses Kafka in his work in the insurance industry. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2023-07 Pages: 200 Publisher: Posts and Telecommunications Press This book aims to introduce the core functions of Kafka and how to use it in real projects. The main contents of this book include the core concepts of Kafka. how to set up and perform basic ETL tasks using KafkaConnect. how to use Kafka for large data projects. how to perform management tasks. how to generate and consume event streams. how to use Kafka in Java applications. how to implement.…

Taschenbuch. Condition: Neu. Kafka in Action | Dylan Scott | Taschenbuch | Kartoniert / Broschiert | Englisch | 2022 | Manning Publications | EAN 9781617295232 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.