The sustained success of Hadoop has brought about a radical change in big data management. This highly popular open-source MapReduce technology allows easy access...
Apache Hadoop is a well know and de-facto framework for processing large big data sets through distributed & parallel computing. YARN(Yet Another Resources Negotiator)...
Apache Flink is an open source platform for distributed stream and batch data processing. Flink’s core is a streaming dataflow engine that provides data...
This blog introduces the convergence of complementary technologies – Spark, Mesos, Akka, Cassandra and Kafka (SMACK) stack. And we will see how Apache Kafka...
In 2016, we should be excited that Apache Spark community launched Apache Spark 1.6. Committers – There are around 1000 contributors to Apache Spark,...
This blog introduces Spark’s core abstraction for working with data, the RDD (Resilient Distributed Dataset). An RDD is simply a distributed collection of elements...