Data Analytics


Data analytics (DA) is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software. Data analytics technologies and techniques are widely used in commercial industries to enable organizations to make more-informed business decisions and by scientists and researchers to verify or disprove scientific models, theories and hypotheses Data analytics initiatives can help businesses increase revenues, improve operational efficiency, optimize marketing campaigns and customer service efforts, respond more quickly to emerging market trends and gain a competitive edge over rivals -- all with the ultimate goal of boosting business performance.

 

  • Live Demonstration
  • Internship/Career Opportunities from Ignite and its associates.
  • Hands on Practice Sessions
  • 24*7 Email Supports through Email.
  • Introduction to R Programming
  • HDFS and YARN
  • Types of data formats
  • Advanced Hive Concept and Data File
  • Apache Flume and HBase
  • Basics of Apache Spark
  • RDDs in Spark
  • Implementation of Spark Applications
  • Spark Parallel Processing
  • Spark Algorithm
  • Spark SQL