Big Data Analytics

Overview

Big data is a collection of data from many sources and it have a five characteristics: volume, value, variety, velocity, and veracity. It is firstly used by John R Mashey in1990’s.

Big data analytics is the use of advanced analytic techniques against large data sets including structured/unstructured data and streaming/batch data from different sources and Different sizes from Terabytes to Zettabytes.

The course on Big Data Analytics makes you undersatnd how to handle such a large data and the techniques . This course covers various important frameworks such as Hadoop, Spark, Hive, and Kafka, which provide some of the most vital tools to carry out enormous big data tasks. In here, big data analytics course is available with affordable fees and flexible timings.

split Images

Course name: Big Data Analytics;Duration: 45Days;Teaching Mode: Online /Offline Mode; Required Software: Apache Hadoop.


Course Objectives:

  • - Understand the Big Data Platform and its Use cases
  • - Provide an overview of Apache Hadoop
  • - Provide HDFS Concepts and Interfacing with HDFS
  • - Understand Map Reduce Jobs
  • - Provide hands on Hodoop Eco System
  • - Apply analytics on Structured, Unstructured Data.
  • - Exposure to Data Analytics with R.