Learn Hadoop and Big Data

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 app provides a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.

This app 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.

Big data is a collection of large data sets that cannot be processed using traditional computing techniques. It is not a single technique or a tool, rather it has become a complete subject, which involves various tools, techniques and frameworks.

We are once again here to make you familiar with Big Data & Hadoop . We have developed Learn Big Data Hadoop | Big Data Hadoop Tutorials for your learning easy of big data & hadoop . big data is now trending on technology. because, in last 5 years , techonoly spread a lot and very large amount of data has been generated. so there is only computing not enough to handle these data to be processed. hence big data came into the picture. now it is on trending choice now.

Our app Learn Hadoop and Big data Tutorials is developed for beginners and advance learner both. because material of explanation is very well written in simple & clean english language. so you will not find any issue about that.

Topics
Introduction to Big Data
Big Data Solutions in Hadoop
Hadoop Environment Setup
Hadoop HDFS Overview
Hadoop HDFS Operations
Command Reference
MapReduce Hadoop tutorial
Streaming in Hadoop
Hadoop Multi-Node Cluster

We have divide tutorials in parts

1. learn basic of hadoop
2. learn hbase
3. learn hive
4. learn pig
5. learn spark
6. learn sqoop
7. big data hadoop interview questions

Learn 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.

Learn Sqoop
Sqoop is a tool designed to transfer data between Hadoop and relational database servers. It is used to import data from relational databases such as MySQL, Oracle to Hadoop HDFS, and export from Hadoop file system to relational databases.

Learn Hive
Hive is a data warehouse infrastructure tool to process structured data in Hadoop. It resides on top of Hadoop to summarize Big Data, and makes querying and analyzing easy.

Learn HBase
HBase is a data model that is similar to Google’s big table designed to provide quick random access to huge amounts of structured data. This app provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell.

Learn Big Data Analytics
Big Data Analytics largely involves collecting data from different sources, munge it in a way that it becomes available to be consumed by analysts and finally deliver data products useful to the organization business.

We have collection of interview questions of big data hadoop. it will use full to you in interview as well as exams and other place. we always try to come up with best for you.