Big data and hadoop

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.

Big Data is becoming one of the most talked about technology trends nowadays. The real challenge with the big organization is to get maximum out of the data already available and predict what kind of data to collect in the future. How to take the existing data and make it meaningful that it provides us accurate insight in the past data is one of the key discussion points in many of the executive meetings in organizations. With the explosion of the data the challenge has gone to the next level and now a Big Data is becoming the reality in many organizations.

Big Data and Hadoop Master Class free app help to practice Big Data and hadoop for big data learners, and it will help to improve the Big data and hadoop interview skills for data analyst professionals.

Introduction to Big Data,
Big Data in the Enterprise,
Hadoop and Hadoop Infrastructure,
Hadoop Distributed File System (HDFS),
MapReduce,
Relationship between MapReduce and HDFS,
Hadoop and Databases,
The Hadoop Implementation,

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Hadoop Big Data Overview
Hadoop - Big Data Solutions
Hadoop – Introduction
Hadoop - Enviornment Setup
Hadoop - HDFS Overview
Hadoop - HDFS Operations
Hadoop - Command Reference
Hadoop – MapReduce
Hadoop – Streaming
Hadoop - Multi Node Cluster
Hadoop Interview Questions