Learn Hadoop and Spark analytics

Are you familiar with Hadoop ecosystem. If yes, then you’re already aware about trouble faced while configuring all the setup done locally. HDInsight is the solution for all.

Microsoft HDInsight is the open source framework, which is easy to use as well as cost effective. It comes with Apache Hadoop, Apache Spark, Apache Kafka, Apache HBase, Apache Hive, Apache Storm, Machine Learning and many more.

Microsoft HDInsight supports Hadoop as well as a Spark ecosystem with latest version of the tools. It makes easy to integrate with other Azure services like Azure Blob storage, Azure Data lake analytics, Azure CosmosDB and so on.

It has a dedicated console where you’ll able to monitor jobs running on HDInsight and different clusters. With HDInsight you can preferred productivity tools, including Visual Studio, Eclipse, IntelliJ, Jupyter and Zeppelin and also choose programming languages such as Scala, Python, R, JavaScript and .NET.

In this learning path, you’ll learn to use HDInsight in Hadoop and Spark ecosystem.

HDFS: It stands for Hadoop Distributed File Sysytem, the backbone of Hadoop Ecosystem which makes it possible to store different types of large data.

YARN as the brain of your Hadoop Ecosystem. It performs all your processing activities by allocating resources and scheduling tasks.