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Hadoop Online Training | Apache Hadoop Training | BigData

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Keen IT Technologies Pvt. Ltd. Is a IT services company, based out of Hyderabad, AP, India,USA,UK,UAE established in 2007. Company offers services in Online Training, Corporate Training, IT Consulting …

Keen IT Technologies Pvt. Ltd. Is a IT services company, based out of Hyderabad, AP, India,USA,UK,UAE established in 2007. Company offers services in Online Training, Corporate Training, IT Consulting Services.


HADOOP Online Training offered by Keen IT Technologies Pvt. Ltd.. Keen IT Technologies offers a complete range of online IT training programs and courses to provide high precision training for individuals, corporate organizations and various business firms. We adopt different online training models like e-learning approach, computer based training (CBT) and interactive online training programs. visit us : http://www.keentechnologies.com
E-Mail id : trainings@keentechnologies.com . Call : +91-9989754807

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  • 1. Hadoop OnlineTraining  Course Outline  Introduction to Hadoop  Distributed computing  Parallel computing  Concurrency  Cloud Computing  Data Past, Present and Future  Computing Past, Present and Future  Hadoop  NoSQL  Hadoop Streaming  Distributing Debug Scripts  Getting Started With Eclipse  Hadoop Stack  MapReduceNoSQL  CAP Theorem  Databases: Key Value, Document, Graph  Hive and Pig  HDFS  Lab 1: Hadoop Hands-on
  • 2.  Installing Hadoop Single Node cluster(CDH4)  Understanding Hadoop configuration files  MapReduce Introduction  Functional – Concept of Map  Functional – Concept of Reduce  Functional – Ordering, Concurrency, No Lock, Concurrency  Functional – Shuffling  Functional – Reducing, Key, Concurrency  MapReduce Execution framework  MapReduce Partitioners and Combiners  MapReduce and role of distributed filesystem  Role of Key and Pairs  Hadoop Data Types  Lab 2: MapReduce Exercises  Understanding Sample MapReduce code  Executing MapReduce code HDFS Introduction  Architecture  File System  Data replication  Name Node  Data Node  Hive  Architecture  Data Model  Physical Layout  DDL DML SQL Operations
  • 3.  Lab 3: Hive Hands ON  Installation  Setup  Exercises  Pig  Rationale  Pig Latin  Input, Output and Relational Operators  User Defined Functions  Analyzing and designing using Pig Latin  Lab 4: Pig Hands on  Installation  Setup  Executing Pig Latin scripts on File system  Executing Pig Latin scripts on HDFS  Writing custom User Defined Functions  Flume  What is Flume?  How it works ?  An example  What is Sqoop?  How it works ?  An example  What is Oozie?
  • 4.  How it works? An example  Sqoop  Oozie  Introduction to Zoo Keeper Cluster Planning and Cloud Manager Set-up  Hadoop Multi node Cluster Setup  Installation and Configuration  Running MapReduce Jobs on Multi Node cluster  Working with Large data sets  Steps involved in analyzing large data  Lab walk through  High Availability Fedration, Yarn and Security If you require any further information please do not hesitate to contact us please feel free to mail us for demo session or call @ 9989754807 contact: trainings@keentechnologies.com website url: http://www.keentechnologies.com

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