Hadoop Training India

Variety. Velocity. Volume. The digital age we live in today means that businesses must harness data coming at them in increasingly disparate form, at a faster pace, and in greater quantity with each new day.

ContactChennai – Fast track – December 21 – 25, 2015 & Weekends December 19, 2015, Online Training – Selfpace-Tutorial

Registrations OpenBangalore – December 26 – 30, 2015

Key Features:

* Work / Learn on production level Cloud Servers

* Access to our CloudLab Portal for Hands-On Sessions

http://learnhadoop.in/cloudlab/
* Big Data Thought Leadership
* Primary focus – hands-on sessions
* Leaders in Big Data Consulting Services in India.

* Founders of Big Data Real Time Analytics Platform
http://www.bigdatatraining.in/announcing-our-big-data-analytics-platform/

Phone: +91 9789968765  / 044 42645495

Hadoop Training India !

BigData OnDemand — The exponential growth of data in the recent past has got 2012 to be named as year of bigdata and the year so far has seen encouraging inventions from various small to big players in data and its analytics areana.

Set the overall big data strategy to create a roadmap of recommendations and initiatives
Integrate structured and unstructured data to make the most of existing investments
Update infrastructure to facilitate quick search, cataloging and indexing of unstructured data
Focus on how and when certain elements of Hadoop can be used to process data volumes
Improve ability to make intelligent decisions through advanced exploratory analytics

 

The exponentially decreasing costs of data storage combined with the soaring volume of data being captured presents challenges and opportunities to those who work in the new frontiers of data science. Businesses, government agencies, and scientists leveraging data-based decisions are more successful than those relying on decades of trial-and-error. But taming and harnessing big data can be a herculean undertaking.

The data must be collected, processed and distilled, analyzed, and presented in a manner humans can understand. Because there are no degrees in data science, data scientists must grow into their roles. If you are looking for resources to help you better understand big data and analytics, We have the knowledge and experience needed to help make your systems contribute to the success of your business.

Form a tandem with us and take advantage of our capacity to manage, process and analyze big data effectively, quickly and economically.

 

BigDataTraining.IN – India’s Leading BigData Consulting & Training Provider, Request a Quote!

Hadoop Training India Big Data Training Classroom / Online / Corporate Training

Phone: +91 9789968765 
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Course Outline:

What is Big Data & Why Hadoop?

  • Big Data Characteristics, Challenges with traditional system

 

Hadoop Overview & it’s Ecosystem

  • Anatomy of Hadoop Cluster, Installing and Configuring Hadoop
  • Hands-On Exercise

HDFS – Hadoop Distributed File System

  • Name Nodes and Data Nodes
  • Hands-On Exercise

Map Reduce Anatomy

  • How Map Reduce Works?
  • The Mapper & Reducer, InputFormats & OutputFormats, Data Type & Customer Writables

Developing Map Reduce Programs

  • Setting up Eclipse Development Environment, Creating Map Reduce Projects, Debugging and Unit Testing Map Reduce Code, Testing with MRUnit
  • Hands-On Exercise

Advanced Map Reduce Concepts

  • Combiner, Partitioner, Counter, Compression, Setup and teardown, Speculative Execution, Zero Reducer and Distributed Cache
  • Hands-On Exercise

 

Advanced Map Reduce Algorithms

 

  • Sorting, Searching and Indexing, Multiple Inputs, Chaining multiple jobs
  • Joins, Handling Binary & Unstructured data
  • Hands-On Exercise

 

Advanced Tips & Techniques

  • Determining optimal number of reducers, skipping bad records
  • Partitioning into multiple output files & Passing parameters to tasks
  • Optimizing Hadoop Cluster & Performance Tuning

Monitoring & Management of Hadoop

  • Managing HDFS with Tools like fsck and dfsadmin
  • Using HDFS & Job Tracker Web UI
  • Routine Administration Procedures
  • Commissioning and decommissioning of nodes
  • Hands-On Exercise

Using Hive & Pig

  • Hive Basics & Pig Basics
  • Hands-On Exercise

Sqoop

  • Importing and Exporting data from using RDBMS
  • Hands-On Exercise

Deploying Hadoop on Cloud

  • Deploying and Configuring Hadoop on Amazon EC2
  • Using Amazon EMR (Elastic Map Reduce)

Hadoop Best Practices and Use Cases

Phone: +91 9789968765