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Big Data Master's Programme

Big Data

Master's Programme

Big Data has a major impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport, logistics, and customer service. It makes you proficient in tools and systems used by Big Data experts. It includes training on Hadoop and Spark, Java Essentials, and SQL. The program is customised based on current industry standards that comprise of major sub-modules as a part of the training process.

Big Data Engineer course is designed to give you in-depth knowledge of the flexible and versatile frameworks on the Hadoop ecosystem and big data tools. This Big Data Engineer course will also teach you to model data, perform ingestion, replicate data, and share data using a NoSQL database management system MongoDB. This program is designed by the industry experts to provide hands-on training with tools that are used to speed up the training process.
  • IT, Mainframe and Data Professionals
  • Project Managers, Software Architects and Administrators
  • Those aspiring for a career in Big Data and Hadoop
  • Any Graduate
  • It is also beneficial to have prior knowledge of SQL, programming basics, data pipelines, algorithms, and data structures when taking a Big Data Engineer course.
Big Data Master's Programme
Timeline and Prerequisite
8 Months
Course Duration
Big Data Master's Programme
Curriculum
  • Introduction to Big Data and its characteristics
  • Examples of Big Data
  • Introduction to Hadoop and its functioning
  • Installing Hadoop on a single node
  • Introduction to the Hadoop architecture
  • HDFS and Hadoop cluster management
  • MapReduce: Mapper and Reducer and examples of Word Count
  • Hive, Pig, Mahout and Cassandra
  • Apache Spark, Scala and Storm
  • Splunk Machine Learning