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Yesterday I have got the first paperback version of the book High performance in-memory computing with Apache Ignite  The book is available at Lulu.com & Amazon bookstore. Product details Paperback:  360 pages Language:  English ISBN-10:  1365732355 ISBN-13:  978-1365732355 Product Dimensions:  8.3 x 0.8 x 11 inches Shipping Weight:  1.8 pounds Happy reading!!

The book " High performance in-memory computing with apache Ignite " has been released and available at http://leanpub.com/ignite Print copy of the book is available at  Lulu.com  &  Amazon  bookstore. UP1: NOW the book is available for purchase from the Russian federation through PayPal (Ignore the yellow warning). The goal of the book is to provide a guide for those who really need to implement the In-memory platform in their projects. At the same time, the idea behind the book is not writing a manual. This book wraps all the topics like in-memory data grid, highly available service grid, streaming and in-memory computing use cases from high-performance computing to get the performance gain. The book will be particularly useful for those, who have the following use cases: You have database bottleneck in your application and want to solve the problem. You have a high volume of ACID transactions in your system. You want to develop and deploy m...

In this article, author of the book "High Performance in-memory computing with Apache Ignite" , discussing the design of modern application architecture with Apache Ignite. Part of this article taken from the book . Let’s take a quick look at an architecture of a traditional system. The traditional application architecture uses data stores which have synchronous read-write operations. This is useful for data consistency and data durability, but it is very easy to get bottleneck if there are a lot of transactions waiting in the queue. Consider the following traditional architecture as shown below. High-volume transaction processing. In-memory data grid adds an additional layer within an environment, which uses the Random-Access Memory (RAM) of the server to store most of all data required by the applications. In-memory data grid sits between the application servers and the data store. In-memory data grid uses a cache of frequently accessed data by the client in th...

The book High Performance in-memory computing with Apache Ignite has been completed and available at LeanPub . Table of contents: Introduction What is Apache Ignite Who uses Apache Ignite Why Ignite instead of others Our Hope Chapter one: Installation and the first Ignite application Pre-requirities Installation Run multiple instances of Ignite in a single host Configure a multi-node cluster in different host Rest client to manipulate with Ignite Java client SQL client Conclusion What's Next Chapter two: Architecture overview Functional overview ClusterTopology Client and Server Embedded with the application Server in separate JVM (real cluster topology) Client and Server in separate JVM on single host Caching Topology Partitioned caching topology Replicated caching topology Local mode Caching strategy Cache-aside Read-through and Write-through Write behind Data model CAP theorem and where does Ignite stand in? Clustering Cluster group Da...

A new version of using Hibernate OGM described in the  The Apache Ignite book . If it got you interested, check out the rest of the book for more helpful information. Often the first step to developing an Enterprise information system is creating the domain model, that is, listing the entities in the domain and defining the relationships between them. A domain model is a conceptual image of the problem your system is trying to solve. Domain model elements can be linked by relationships. Usually, relational objects are represented in a tabular format, while application object model are represented in an interconnected graph of the object format. While storing and retrieving an object model from the relational database, a few mismatch occurs such as Granularity, SubTypes etc. To solve the mismatches between relational and object model, JPA provides a collection of APIs and methods to manipulates with the persistence store. The JPA specification only defines relational database a...

Black Friday discount on High-performance in-memory computing with Apache Ignite. 40% discount https://leanpub.com/ignite/c/MKU2EsYCj6nN

A new SQL client configuration described in  The Apache Ignite book . If it got you interested, check out the rest of the book for more helpful information. Apache Ignite provides SQL queries execution on the caches, SQL syntax is an ANSI-99 compliant. Therefore, you can execute SQL queries against any caches from any SQL client which supports JDBC thin client. This section is for those, who feels comfortable with SQL rather than execute a bunch of code to retrieve data from the cache. Apache Ignite out of the box shipped with JDBC driver that allows you to connect to Ignite caches and retrieve distributed data from the cache using standard SQL queries. Rest of the section of this chapter will describe how to connect SQL IDE (Integrated Development Environment) to Ignite cache and executes some SQL queries to play with the data. SQL IDE or SQL editor can simplify the development process and allow you to get productive much quicker. Most database vendors have their own fron...