Kafka - The Definitive Guide: Real-Time Data and Stream Processing at Scale - Image 1

Price loading...

O'Reilly Kafka - The Definitive Guide: Real-Time Data and Stream Processing at Scale

Name: Kafka - The Definitive Guide: Real-Time Data and Stream Processing at Scale
Brand: O'Reilly

Data Warehousing

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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

Key Features

New Store Stock

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1492043087
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Warehousing
Domain: Amazon UK
Release Date: 30 November 2021
Listed Since: 28 May 2021

Barcode

No barcode data available

O'Reilly Kafka - The Definitive Guide: Real-Time Data and Stream Processing at Scale

Price History & Forecast

No Price Data Available

Price Distribution

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Kafka Streams in Action: Event-Driven Applications and Microservices

Apache Kafka in Action: From Basics to Production

Kafka Connect: Build Data Pipelines by Integrating Existing Systems

Mastering Kafka Streams and ksqlDB: Building real-time data systems by example

Effective Kafka: A Hands-On Guide to Building Robust and Scalable Event-Driven Applications with Code Examples in Java

Modern Data Engineering with Apache Spark: A Hands-On Guide for Building Mission-Critical Streaming Applications

Stream Processing with Apache Flink: Fundamentals, Implementation, and Operation of Streaming Applications

Cockroachdb: The Definitive Guide: Distributed Data at Scale

CockroachDB: The Definitive Guide: Distributed Data at Scale

Cassandra: The Definitive Guide, (Revised) Third Edition: Distributed Data at Web Scale

Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

Delta Lake: The Definitive Guide: Modern Data Lakehouse Architectures with Data Lakes

Spark – The Definitive Guide: Big data processing made simple

Data Pipelines with Apache Airflow, Second Edition

Designing Data–Intensive Applications: Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Data Governance: The Definitive Guide: People, Processes, and Tools to Operationalize Data Trustworthiness

The Definitive Guide to Azure Data Engineering: Modern ELT, DevOps, and Analytics on the Azure Cloud Platform

Advanced Platform Development with Kubernetes: Enabling Data Management, the Internet of Things, Blockchain, and Machine Learning

Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing

Data Engineering with Advanced Python: Learn to Build Production Data applications using Modern Cloud Data tools (Data Engineering with Python cookbook series)

Java Microservices and Containers in the Cloud: With Spring Boot, Kafka, PostgreSQL, Kubernetes, Helm, Terraform and AWS EKS

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Building Event-Driven Microservices: Leveraging Organizational Data at Scale

Reactive Systems in Java: Resilient, Event-Driven Architecture with Quarkus