[Télécharger] Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale de Neha Narkhede Pdf Ebook
Télécharger Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale de Neha Narkhede PDF Ebook En Ligne
Télécharger "Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale" de Neha Narkhede Livre PDF Gratuit
Auteur : Neha Narkhede
Catégorie : Livres anglais et étrangers,Computers & Internet,Computer Science
Broché : * pages
Éditeur : *
Langue : Français, Anglais
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 messagesUnderstand Kafka patterns and use-case requirements to ensure reliable data deliveryGet best practices for building data pipelines and applications with KafkaManage Kafka in production, and learn to perform monitoring, tuning, and maintenance tasksLearn the most critical metrics among Kafka's operational measurementsExplore how Kafka's stream delivery capabilities make it a perfect source for stream processing systems
Télécharger Kafka: The Definitive Guide: Real-Time Data and Stream Processing at Scale de Neha Narkhede PDF Ebook En Ligne
Apache Kafka: The Definitive Guide / Confluent ~ Kafka: The Definitive Guide. Download the Book. What is Kafka, and how does it work? In this comprehensive e-book, you'll get full introduction to Apache Kafka ® , the distributed, publish-subscribe queue for handling real-time data feeds. Learn how Kafka works, internal architecture, what it's used for, and how to take full advantage of Kafka stream processing technology. Authors Neha .
Apache Kafka ~ Apache Kafka More than 80% of all Fortune 100 companies trust, and use Kafka. Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Apache Kafka ~ Kafka abstracts away the details of files and gives a cleaner abstraction of log or event data as a stream of messages. This allows for lower-latency processing and easier support for multiple data sources and distributed data consumption. In comparison to log-centric systems like Scribe or Flume, Kafka offers equally good performance, stronger durability guarantees due to replication, and .
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Patterns de streaming ~ Après avoir présenté Apache Kafka, nous aborderons les différents patterns que les développeurs sont amenés à mettre en œuvre dans le domaine du streaming.
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Apache Kafka – Wikipedia ~ Apache Kafka ist eine freie Software der Apache Software Foundation, die insbesondere zur Verarbeitung von Datenströmen dient. Kafka ist dazu entwickelt, Datenströme zu speichern und zu verarbeiten, und stellt eine Schnittstelle zum Laden und Exportieren von Datenströmen zu Drittsystemen bereit. Die Kernarchitektur bildet ein verteiltes Transaktions-Log. Ursprünglich wurde Apache Kafka von .
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What is Apache Kafka? / Confluent ~ The Streams API within Apache Kafka is a powerful, lightweight library that allows for on-the-fly processing, letting you aggregate, create windowing parameters, perform joins of data within a stream, and more. Perhaps best of all, it is built as a Java application on top of Kafka, keeping your workflow intact with no extra clusters to maintain.
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An introduction to Apache Kafka on HDInsight - Azure ~ Stream processing: Kafka is often used with Apache Storm or Spark for real-time stream processing. Kafka 0.10.0.0 (HDInsight version 3.5 and 3.6) introduced a streaming API that allows you to build streaming solutions without requiring Storm or Spark. For more information, see Start with Apache Kafka on HDInsight. Horizontal scale: Kafka .
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