Big Data and Hadoop Tutorial

Big Data and Hadoop

Big Data and Hadoop Tutorial covers Introduction to Big Data,Overview of Apache Hadoop,The Intended Audience and Prerequisites, The Ultimate Goal of this Tutorial, The Challenges at Scale and the Scope of Hadoop, Comparison to Existing Database Technologies,The Hadoop Architecture & Module, Introduction to Hadoop Distributed File System, Hadoop Multi Node Clusters, HDFS Installation and Shell Commands, Hadoop MapReduce – Key Features & Highlights, Hadoop YARN Technology, Introduction to Pig, Sqoop and Hive.

• As per Forbes by the year 2020 approximately 1.7 megabytes of information will be generated each second.
• The Hadoop market is expected to cross $ 1 billion by 2020 with a compound growth rate of 58%.
• However lesser than 0.5% of the data is analyzed at the moment.

This clearly specifies the kind of potential the field of Big Data has. After learning these facts you must be curious to know about Big Data. Let’s know the applications of big data briefly –

Wish to Learn Hadoop? Click Here

Big Data And Hadoop Tutorial Video

After successful completion of this Tutorial, you as an individual will have enough working knowledge and proficiency in the following:

• Apache Hadoop framework
• Hadoop Distributed File System
• Visualizing of Data using MS Excel, Zoomdata or Zeppelin
• Apache MapReduce programming
• Apache Spark ecosystem
• Ambari administration
• Deploying Apache Hive, Pig, and Sqoop
• Knowledge of the Hadoop 2.x Architecture
• Data analytics using Hadoop YARN
• Deploying MapReduce and HBase integration
• Setting up of Hadoop Cluster
• Proficiency in Hadoop Development
• Working with Spark RDD
• Job scheduling using Oozie

The ultimate goal of this Tutorial is to help you become a professional in the field of Big Data and Hadoop and ensuring you have enough skills to work in an industrial environment and solve real world problems to come up with solutions that make a difference to this world.