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Hadoop is an open source framework from Apache and is used to store process and analyze data which are very huge in volume. Hadoop is written in Java and is not OLAP (online analytical processing). It is used for batch/offline processing.It is being used by Facebook, Yahoo, Google, Twitter, LinkedIn and many more Apache Hadoop is an 100% open source framework for distributed storage and processing of large sets of data. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets 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. Rather than rely on hardware to deliver high-availability, the library itself is
designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.


Modules of Hadoop


1.HDFS: Hadoop Distributed File System. Google published its paper GFS and on the basis of     that HDFS was developed. It states that the files will be broken into blocks and stored in       nodes over the distributed architecture.


2.Yarn: Yet another Resource Negotiator is used for job scheduling and manage the cluster.


3.Map Reduce: This is a framework which helps Java programs to do the parallel         computation on data using key value pair. The Map task takes input data and converts it   into a data set which can be computed in Key value pair. The output of Map task is   consumed by reduce task and then the out of reducer gives the desired result.


4.Hadoop Common: These Java libraries are used to start Hadoop and are used by other   Hadoop modules.




Tekslate is one of the leading online training provider in India, USA, UK.TekSlate’s hadoop
training, aims on teaching the basics of Data Intensive Computing using Hadoop Toolkit. At the end of this bigdata course you will hopefully have an overview and hands-on experience about Map- Reduce computing pattern, its Hadoop implementation,Hadoop file system (HDFS) and some higher level tools built on top of these, like data processing language”Pig”.


Why to attend Tekslate Online Training ??

 Classes are conducted by Certified HADOOP Working Professionals with 100 % Quality Assurance.With an experienced Certified practitioner who will teach you the essentials you need to know to kick-start your career on HADOOP. Our training make you more productive with your HADOOP Training Online. Our training style is entirely hands-on. We will provide access to our desktop screen and will be actively conducting hands-on labs with real-time projects.


Course Key Features:

 -Training given by a Certified Trainer.

-24/7 Online Support.

-Real Time Methodologies.

-Topic wise Hands-on / Topic wise Study Material.

-Free query support post-training.

-Group & individual assignments.

-Free Back-up Classes. 

-Comprehensive practical training.


** Here we provide you some of the important concepts to be covered by our trainers, that will reflect in your Interview. Advanced Hadoop Interview Questions with answers by our experts will Give you a Glance of what the course is all about.


For Further Queries and support about Hadoop Training


Contact us:


TekSlate INC
14121 valley
mills dr Frisco,
TX 75033
United States