Big Data & Hadoop

How to manage the Big Data, Separate the different types of file in different location, learning Big Data.

Big Data and Hadoop

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that
matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

Hadoop is an open-source software framework used for distributed storage and processing of dataset of big data using the MapReduce programming model. IT consists of computer clusters built from commodity hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. 

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Briefly Explanation On BIG DATA

Problems Of Big Data And The HADOOP As The Solution

What We Can Do From HADOOP

Cloudera And VMware Software Distribution

Installation Of Cloudera Software And VMware Installation

Introduction to Cloudera

MapReduce with Eclipse

Writing Java Script In Eclipse IDE

Perform WORDCOUNT

Introduction of PIG

Introduction of HIVE

Introduction of Sqoop

What is sqoop and where to use

Make fastest way to upload data with sqoop

Briefly explanation on how sqoop is used in data processing

Final Output And More

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