Hadoop is an Apache project (i.e. an open source software) to store & process Big Data.
Hadoop stores Big Data in a distributed & fault tolerant manner over commodity hardware. Afterwards, Hadoop
tools are used to perform parallel data processing over HDFS (Hadoop Distributed File System).
Why this course is required
Big Data is one of the accelerating and most promising fields, considering all the technologies
available in the IT market today. In order to take benefit of these opportunities, you need a structured training
with the latest curriculum as per current industry requirements and best practices.Besides strong theoretical
understanding, you need to work on various real world big data projects using different Big Data and Hadoop
tools as a part of solution strategy.
Pre-requisites for Big-Data
Master the concepts of HDFS (Hadoop Distributed File System)
YARN (Yet Another Resource Negotiator)
Understand MapReduce Framework
Implement complex business solution using MapReduce
Learn data ingestion techniques using Sqoop and Flume
Perform ETL operations & data analytics using Pig and Hive
Implementing Partitioning, Bucketing and Indexing in Hive
Understand HBase, i.e a NoSQL Database in Hadoop, HBase Architecture & Mechanisms