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High Performance In Memory Computing With Apache Ignite

High Performance In Memory Computing With Apache Ignite Author by : Shamim bhuiyan
Languange Used : en
Release Date : 2017-04-08
Publisher by : Lulu.com
ISBN : 9781365732355
File Size : 51,7 Mb
Total Download : 985

This book covers a verity of topics, including in-memory data grid, highly available service grid, streaming (event processing for IoT and fast data) and in-memory computing use cases from high-performance computing to get performance gains. The book will be particularly useful for those, who have the following use cases: 1) You have a high volume of ACID transactions in your system. 2) You have database bottleneck in your application and want to solve the problem. 3) You want to develop and deploy Microservices in a distributed fashion. 4) You have an existing Hadoop ecosystem (OLAP) and want
Category: Computers

Apache Ignite Quick Start Guide

Apache Ignite Quick Start Guide Author by : Sujoy Acharya
Languange Used : en
Release Date : 2018-11-30
Publisher by : Packt Publishing Ltd
ISBN : 9781789344066
File Size : 41,8 Mb
Total Download : 888

Build efficient, high-performance & scalable systems to process large volumes of data with Apache Ignite Key Features Understand Apache Ignite's in-memory technology Create High-Performance app components with Ignite Build a real-time data streaming and complex event processing system Book Description 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 y
Category: Computers

Practical Apache Spark

Practical Apache Spark Author by : Subhashini Chellappan
Languange Used : en
Release Date : 2019-01-02
Publisher by : Apress
ISBN : 9781484236529
File Size : 53,7 Mb
Total Download : 736

Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. Practical Apache Spark also covers the integration of Apache Spark with Kafka with examples. You’ll follow a learn-to-do-by-yourself approach to learning – learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure. On compl
Category: Computers
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