Apache Ignite Quick Start Guide: Distributed data caching and processing made easy

Apache Ignite Quick Start Guide: Distributed data caching and processing made easy
By 作者: Sujoy Acharya
ISBN-10 书号: 178934753X
ISBN-13 书号: 9781789347531
Release Finelybook 出版日期: 2018-11-30
pages 页数: (260 )

The Book Description robot was collected from Amazon and arranged by Finelybook

Build efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite
Apache Ignite is a distributed in-memory platform designed to scale and process large volume of data. It can be integrated with microservices as well as monolithic systems, and can be used as a scalable, highly available and performant deployment platform for microservices. This book will teach you to use Apache Ignite for building a high-performance, scalable, highly available system architecture with data integrity.
The book takes you through the basics of Apache Ignite and in-memory technologies. You will learn about installation and clustering Ignite nodes, caching topologies, and various caching strategies, such as cache aside, read and write through, and write behind. Next, you will delve into detailed aspects of Ignite’s data grid: web session clustering and querying data.
You will learn how to process large volumes of data using compute grid and Ignite’s map-reduce and executor service. You will learn about the memory architecture of Apache Ignite and monitoring memory and caches. You will use Ignite for complex event processing, event streaming, and the time-series predictions of opportunities and threats. Additionally, you will go through off-heap and on-heap caching, swapping, and native and Spring framework integration with Apache Ignite.
By the end of this book, you will be confident with all the features of Apache Ignite 2.x that can be used to build a high-performance system architecture.
What you will learn

Use Apache Ignite’s data grid and implement web session clustering
Gain high performance and linear scalability with in-memory distributed data processing
Create a microservice on top of Apache Ignite that can scale and perform
Perform ACID-compliant CRUD operations on an Ignite cache
Retrieve data from Apache Ignite’s data grid using SQL, Scan and Lucene Text query
Explore complex event processing concepts and event streaming
Integrate your Ignite app with the Spring framework

1 Getting Familiar with Apache Ignite
2 Understanding the Topologies and Caching Strategies
3 Working with Data Grids
4 Exploring the Compute Grid and Query API
5 Building MicroServices with Service Grid
6 Sharpening Ignite Skills
7 Deploying To Production

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