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.
Who should take up a Big Data course?
IT, Mainframe and Data Professionals
Project Managers, Software Architects and Administrators
Those aspiring for a career in Big Data and Hadoop
What are the prerequisites for this Big Data Engineer course?
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.
Course Duration:
8 months
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
