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Enterprise Java
Using Apache Ignite thin client – Apache Ignite insider blog
From the version 2.4.0, Apache Ignite introduced a new way to connect to the Ignite cluster, which allows communication with…
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Enterprise Java
Apache Ignite Baseline Topology by Examples
Ignite Baseline Topology or BLT represents a set of server nodes in the cluster that persists data on disk. …
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Enterprise Java
Key differences between Apache Ignite, Hazelcast, Cassandra and Tarantool
Apache Ignite is widely used around the world and is growing all the time. Companies like Barclays, Misys, Sberbank (3r…
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Enterprise Java
Apache Ignite made easy: first Java application
In this article, we take a one step further and let you through the creation of the first Ignite application…
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Enterprise Java
Optimizing Spark Job Performance With Apache Ignite (Part 1)
Apache Ignite’s memory-centric architecture enables efficient RDD sharing with IgniteContext and IgniteRDD to share RDDs between Spark apps. Come see…
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Enterprise Java
The Apache Ignite Native persistence, a brief overview
In-memory approaches can achieve blazing speed by putting the working set of the data into the system memory. When all…
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Enterprise Java
Apache Ignite with Spring Data
Spring Data provides a unified and easy way to access the different kinds of persistence store, both relational database systems, and…
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Software Development
Modern application design with In-memory data fabrics
In this article, author of the book “High Performance in-memory computing with Apache Ignite”, discussing the design of modern application…
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Enterprise Java
Complex event processing (CEP) with Apache Storm and Apache Ignite
In this article, author of the book “High Performance in-memory computing with Apache Ignite”, will discuss the complex event processing with…
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