Hadoop – Mastering BigData
‘Big Data’ is a term used to describe collection of data that is huge in size and yet growing exponentially with time.In short, such a data is so large and complex that none of the traditional data management tools are able to store it or process it efficiently.
Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
This brief tutorial provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.
This tutorial has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Hadoop Framework and become a Hadoop Developer. Software Professionals, Analytics Professionals, and ETL developers are the key beneficiaries of this course.
Before you start proceeding with this tutorial, we assume that you have prior exposure to Core Java, database concepts, and any of the Linux operating system flavors.
- Lectures 3
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 452
- Assessments Yes