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)...
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Author: Kumar Chinnakali
Kumar Chinnakali is a data analyst associated with IGATE, where he works on industry specific data applications. Experienced with excellent track record in design and implementation of innovative solutions for Big Data projects in Insurance, Retail and Media domains. During this period he has lead teams of various sizes and has worked on various tools like Hadoop Ecosystem, Spark, Tableau, R. Earned his Masters in both Computer Applications & Business Administration.
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...
We should be excited that Apache Hive community have released the largest release and announced the availability of Apache Hive 2.0.0. It brings great...
Today emerging big data technology firm focused on helping enterprises build breakthrough software solutions powered by disruptive enterprise software trends like Machine learning and...
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...
Yes, Hadoop is not only the options to big data problem. Hadoop is one of the solutions. The HPCC (High-Performance Computing Cluster) Systems technology...
Zaloni’s fantastic book, Creating a Data-Driven Organization, is a very well narrated in this book and I like to share our learning with our big...
Now our the big data analytics community has started to use Apache Spark in full-swing for big data processing. The processing could for ad-hoc...
