Apache Ignite Quick Start Guide: Distributed data caching and processing made easy
bBuild efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite/b h4Key Features/h4 ulliUnderstand Apache Ignite's in-memory technology /li liCreate High-Performance app components with Ignite /li liBuild a real-time data streaming and complex e...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
|
| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bBuild efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite/b h4Key Features/h4 ulliUnderstand Apache Ignite's in-memory technology /li liCreate High-Performance app components with Ignite /li liBuild a real-time data streaming and complex event processing system/li/ul h4Book Description/h4 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. h4What you will learn/h4 ulliUse Apache Ignite's data grid and implement web session clustering /li liGain high performance and linear scalability with in-memory distributed data processing /li liCreate a microservice on top of Apache Ignite that can scale and perform /li liPerform ACID-compliant CRUD operations on an Ignite cache /li liRetrieve data from Apache Ignite's data grid using SQL, Scan and Lucene Text query /li liExplore complex event processing concepts and event streaming /li liIntegrate your Ignite app with the Spring framework /li /ul h4Who this book is for/h4 The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary |
| Beschreibung: | 1 Online-Ressource (260 Seiten) |
| ISBN: | 9781789344066 |
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| 520 | |a 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. | ||
| 520 | |a h4What you will learn/h4 ulliUse Apache Ignite's data grid and implement web session clustering /li liGain high performance and linear scalability with in-memory distributed data processing /li liCreate a microservice on top of Apache Ignite that can scale and perform /li liPerform ACID-compliant CRUD operations on an Ignite cache /li liRetrieve data from Apache Ignite's data grid using SQL, Scan and Lucene Text query /li liExplore complex event processing concepts and event streaming /li liIntegrate your Ignite app with the Spring framework /li /ul h4Who this book is for/h4 The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary | ||
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| spelling | Acharya, Sujoy Verfasser aut Apache Ignite Quick Start Guide Distributed data caching and processing made easy Acharya, Sujoy 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (260 Seiten) txt rdacontent c rdamedia cr rdacarrier bBuild efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite/b h4Key Features/h4 ulliUnderstand Apache Ignite's in-memory technology /li liCreate High-Performance app components with Ignite /li liBuild a real-time data streaming and complex event processing system/li/ul h4Book Description/h4 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. h4What you will learn/h4 ulliUse Apache Ignite's data grid and implement web session clustering /li liGain high performance and linear scalability with in-memory distributed data processing /li liCreate a microservice on top of Apache Ignite that can scale and perform /li liPerform ACID-compliant CRUD operations on an Ignite cache /li liRetrieve data from Apache Ignite's data grid using SQL, Scan and Lucene Text query /li liExplore complex event processing concepts and event streaming /li liIntegrate your Ignite app with the Spring framework /li /ul h4Who this book is for/h4 The book is for Big Data professionals who want to learn the essentials of Apache Ignite. Prior experience in Java is necessary COMPUTERS / Data Processing COMPUTERS / Data Modeling & Design |
| spellingShingle | Acharya, Sujoy Apache Ignite Quick Start Guide Distributed data caching and processing made easy COMPUTERS / Data Processing COMPUTERS / Data Modeling & Design |
| title | Apache Ignite Quick Start Guide Distributed data caching and processing made easy |
| title_auth | Apache Ignite Quick Start Guide Distributed data caching and processing made easy |
| title_exact_search | Apache Ignite Quick Start Guide Distributed data caching and processing made easy |
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| title_fullStr | Apache Ignite Quick Start Guide Distributed data caching and processing made easy Acharya, Sujoy |
| title_full_unstemmed | Apache Ignite Quick Start Guide Distributed data caching and processing made easy Acharya, Sujoy |
| title_short | Apache Ignite Quick Start Guide |
| title_sort | apache ignite quick start guide distributed data caching and processing made easy |
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