#apache ignite

Coordinating an Apache Ignite Cluster With GridGain Control Center

Bundling various data sources, APIs, services, applications, and several data streams while managing application data integration can become cumbersome. It’s so complex that it typically results in application performance loss. So, database administrators use Apache Ignite, a distributed database that provides high-performance computing capabilities using in-memory speed. Integrating Apache…

Let’s first have some basic understanding of Apache Ignite and then we will look more into its life cycle with the help of a demo application.

Apache Ignite is an in-memory computing platform that is durable strongly consistent and highly available with powerful SQL, key value and processing APIs.

Features :

Durable Memory: Apache Ignite is based on the Durable Memory architecture that allows…

What is Futuristic Data Driven Scenario Building?

C O N T E N T S:

KEY TOPICS

Addressing this issue, the paper suggests the utilization of futuristic data, a collection of future-oriented opinions extracted from online communities of large participation, in scenario building.(More…)

Utilizing the largest analytics and editorially driven Construction Industry Database, the company provides business intelligence and data driven services.(More…)

Wi…

Sharing RDD’s states across Spark applications with Apache Ignite

Apache Ignite offers an abstraction over native Spark RDDs such that the state of RDDs can be shared across spark jobs, workers and applications which is not possible with native Spark RDDS. In this blog, we will walk through the steps on how to share RDDs between two spark Application.

Preparing Ingredients

To test the Apache Ignite with Apache Spark application we need at least one master…