Hadoop Training in Chennai

Introduction to Big Data & Hadoop Fundamentals

Goal: In this module, you will understand Big Data, the limitations of the existing solutions for Big Data problem, how Hadoop solves the Big Data problem, the common Hadoop ecosystem components, Hadoop Architecture, HDFS, Anatomy of File Write and Read, how MapReduce Framework works.

Objectives – Upon completing this Module, you should be able to understand Big Data is a term applied to data sets that cannot be captured, managed, and processed within a tolerable elapsed and specified time frame by commonly used software tools.

Big Data relies on volume, velocity, and variety with respect to processing.
Data can be divided into three types—unstructured data, semi-structured data, and structured data.
Big Data technology understands and navigates big data sources, analyzes unstructured data, and ingests data at a high speed.
Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment.