Thursday, 8 December 2016

devops online trainings in hyderbad india USA UK

DevOps Course Content

Fundamental of DevOps

·       Introduction

·       History

·       Culture

·    Automation

·    Monitoring metrics

·    Sharing

DevOps Tools

·    Provisioning tools

·    Configuration management tools

·    Application deployment tools

·    Monitoring tools

·    Version control tools

·    Performance tools

·    Test and build tools

·       Puppet Introduction

·       History

·       Puppet tools/Components
·        Installing/Setting up

·       Writing puppet modules

·       Puppet DSL

·       Roles and Profiles

·       Hiera

·       Applications/Scope


· Jenkins Introduction · History

· Configuring Jenkins · Writing Jobs
· Jenkins integration with other tools · Continuous Integration
·    Continuous Delivery


·       Introduction and History of AWS

·       AWS Infrastructure: Compute, Storage, and Networking

·       AWS Security, Identity, and Access Management

·       AWS Databases

·       AWS Management Tools

Monday, 28 November 2016

Hadoop and Big Data Over View

Hadoop is a free open-source software framework for storing data and running applications on clusters of commodity hardware. It provides all-powerful storage for any nice of data, omnipotent supervision power and the doing to handle just about limitless concurrent tasks or jobs.
How Is Hadoop Being Used?
Going far away and wide ahead than its indigenous mean of searching millions (or billions) of web pages and returningrelevant results, many organizations are looking to Hadoop as their neighboring-door gigantic data platform. Popular uses today include:

1.Low-cost storage and data archive   

2.Sandbox for discovery and analysis        

3.Data lake        

 4.Complement your data warehouse 

 5.IoT and Hadoop

Hadoop is a easy to get praise of to, Java-based programming framework that supports the paperwork of large data sets in a distributed computing setting. It is share of the apache project sponsored by the Apache Software Foundation.                                                                                         Hadoop makes it realizable to run applications harshly speaking systems gone thousands of nodes involving thousands of terabytes. Its distributed file system facilitates trenchant data transfer rates together along in the company allows the system to continue operating uninterrupted in deed of a node failure. This associations  the risk of catastrophic system failure, though a significant number of nodes become inoperative.  Hadoop was inspired by Google's MapReduce and software framework in which an application is blinking beside into numerous little parts. Any of these parts (furthermore known as fragments or blocks) can be counsel in version to any node in the cluster. Doug Cutting, Hadoop's creator and named the framework after his child's stuffed toy elephant. The current Apache Hadoop eco system consists of the Hadoop kernel Map Reduce the Hadoop distributed file system (HDFS) and a number of associated projects such as Apache Hive, HBase and Zookeeper.            

The Hadoop is framework used by major players including Google, Yahoo and IBM, largely for applications involving search engines and advertising. The operating systems are Windows and Linux but Hadoop can moreover undertaking subsequent to BSD and OS X.

                                                            Enjoy learning Hadoop and BigData with RS Trainings!!

Hadoop Online Training Demo Link

Wednesday, 5 October 2016

Tuesday, 4 October 2016

hadoop in classroom trainings at hyderbad

Wednesday, 28 September 2016

Monday, 12 October 2015

Online Bigdata Hadoop Training is offered by RSTrainings in Hyderabad, RStrainings is providing classroom & Online Training on Hadoop Bigdata. Our Trainers are real time work experience with 12+ years. We allocate Trainings on Hadoop globally UK, India, Aus, Canada, Saudi, Singapore.
Briefly about Course :
·         Introduction to Big Data and Analytics
·         Introduction to Hadoop
·         Hadoop ecosystem - Concepts
·         Hadoop Map-reduce concepts and features
·         Developing the map-reduce Applications
·         Pig concepts
·         Hive concepts
·         Sqoop concepts
·         Flume Concepts
·         Oozie workflow concepts
·         Impala Concepts
·         Hue Concepts
·         HBASE Concepts
·         ZooKeeper Concepts
·         Real Life Use Cases

Tuesday, 28 July 2015

Big data & Hadoop

Briefly About On Big data & Hadoop

Big Data being the discussion of the IT world that is current, Hadoop reveals the path to use the data that is big. It creates the analytics much more easy contemplating the terabytes of Information. Infact Facebook promises to possess the biggest Hadoop Bunch of 21PB. 

Commercial function of Hadoop training in Hyderabad contains image processing, Web Crawling, Text processing and Information Analytics.

All the information in the world's is fresh, and most companies do not even try to use this information to their benefit. 

Picture in the event you'd a method to examine that information and in the event you were able to manage to keep all of the information created by your company. This power will be brought by Hadoop to a business.

It's amazing to actually think of the quantity of information that kept regular throughout the planet, various, handled, analyzed, and is produced. Practically, 2.5 quintillion bytes of information are developed everyday which is an up incline where potential development is worried.

Studies have also suggested that nearly 90% now, of the information which exists in the planet was developed in only two years. 

Here is yet another astonishing bit of advice: Eighty Per Cent of the info being caught is not structured, generally called as Big-Data.

Where this instruction can be convenient, that is! It's an ideal open source software platform that experts like ETL information designers, DBAs, BI experts, program administrators, and information experts may utilize for studying a lot of of data that is big or information inside a period of time that is considerably lesser.

Hadoop Online Training Demo Link