Big Data Analytics with Sqoop and Hive Training

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|| Big Data Analytics with Sqoop and Hive course in vadodara

|| Apache Hadoop is a framework that allows for the distributed processing of such large data sets across clusters of machines. At its core, it consists of 2 sub-projects – Hadoop MapReduce and Hadoop Distributed File System (HDFS). Hadoop MapReduce is a programming model and software framework for writing applications that rapidly process vast amounts of data in parallel on large clusters of compute nodes. HDFS is the primary storage system used by Hadoop applications. HDFS creates multiple replicas of data blocks and distributes them on compute nodes throughout a cluster to enable reliable, extremely rapid computations. The logical question arises – How do we set up a Hadoop cluster?

|| You will Learn:

  • Learn the concepts of Hadoop and Big Data
  • Learn in details the concepts of MapReduce, HDFS, HIVE, PIG
  • Learn Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Sqoop, Cloudera and more
  • Perform Data Analytics using Hadoop
  • Master the concepts of Hadoop framework
  • Get experience on different configurations of Hadoop cluster
  • Work with real-time projects using Hadoop

|| Who this course is for:

  • Software developers and Architects
  • Analytics Professionals
  • Anyone who is interested in pursuing his career in Big data analytics
  • Data Management Professionals
  • Business Intelligence Professionals
  • Testing Professionals
  • Data Scientists
  • Data analysts/developers
  • Anyone who wants to learn about application of Hadoop

|| Requirements

  • Basic Computer Knowledge
  • Basic knowledge of Java and SQL will serve as an added advantage
  • No prior knowledge is required. The course starts from scratch and will go to an advanced level with different projects
  • There are no special skills needed to take this Hadoop course

 

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