Hadoop Online Training in Hyderabad

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United Global Soft Call : +91 9030624004(IND) +1-201-710-8393(USA) Email : [email protected]

Transcript of Hadoop Online Training in Hyderabad

Page 1: Hadoop Online Training in Hyderabad

United Global SoftCall : +91 9030624004(IND)

+1-201-710-8393(USA)

Email : [email protected]

Page 2: Hadoop Online Training in Hyderabad

Email : [email protected]

United Global Soft is established with the aim of providing interactive learning. We provide online trainings to candidates from India, USA, UAE, UK, Canada, Singapore, Malaysia, Australia, Saudi Arabia, New Zealand and Many Other Countries. We provide training by a Real Time Professionals. We are driven by our belief in the potential of new technologies to enrich the world.We provide classroom training in Hyderabad and online training for candidates based in other locations.We do provide online training on Hadoop Developer by Industry experts.

Course DescriptionHadoop Big Data Training course helps you learn the core techniques and concepts of Big Data and Hadoop ecosystem. It equips you with in-depth knowledge of writing codes using MapReduce framework and managing large data sets with HBase. The topics covered in this course mainly includes- Hive, Pig and setup of Hadoop Cluster.

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Email : [email protected]

Course Outcomes

•Understand Big Data and Hadoop ecosystem

•Work with Hadoop Distributed File System (HDFS)

•Write MapReduce programs and implementing HBase

•Write Hive and Pig scripts

Pre-requisites

•You should have knowledge of programming in C++ or

Java or any other Object Oriented Programming

Language

Hadoop Introduction :

Background and Fundamentals

•Hadoop Evolution

•Why Hadoop ?

•About Bigdata : volume velocity and variety of data

•Hadoop as an ecosystem and its Daemons

•Hadoop as a framework and its features

•Building Hadoop cluster

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Components in Hadoop eco SystemWhere is Hadoop used?Where Hadoop is not used ?Which companies are using Hadoop?MapReduce Programming ModelMapReduce ArchitectureMR as a Programming modelVarious data typesSnippet of a MR jobMapper, Reducer, and DriverMap side joinsReduce side joinsCombiner class(mini reducer)Distributed cachePartitions wrt performance optimizationHDFS (Hadoop Distributed File System)significance of HDFSFeatures of HDFS

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•Daemons of Hadoop

•Namenode

•Datanode

•Secondary Namenode

•Job Tracker

•Task Tracker

Accessing HDFS

•through CLIData storage in HDFS

•replication and blocks

2) Hive

•Hive Introduction

•Hive Architecture

•Hive Query Language (HiveQL) as SQL Dialect

•Hive as a warehouse

•Queries in Hive

•Loading data from various sources into Hadoop

•various Joins

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Functions in HiveUser defined functions in Hive (UDF)Data Types in HiveComplex data types in Hiveworking with views in HiveBuckets in HiveHive Serde

3) PigWhy Pig when we can work with HiveSimilarities between Hive and PigDifferences between hive and PigPig ArchitectureLoading data from various sources into PigPig ScriptingUser defined functions in PigWorking with Complex data typesHow to store the processed data by Pig permanently ?

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4) SqoopIntroduction to SqoopSqoop an utility toolWorking with various RDMSsWorking with MySql database practical scenarioVarious import scenariosExport data

5) OozieUsage in live scenariosa scheduling tool

6) HBaseHadoop Database IntroductionStorage in HBaseArchitecture of HbaseScans

7) ZookeeperIntroduction to ZookeeperUsage in Hadoop Cluster

8) FlumeIntroduction to FlumeUsage in Live applications

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9) Solr

•Introduction to Solr

•Usage in Live applications

10) Hue

•Introduction to Hue

•Usage in Live applications

11) Impala

•Introduction to Impala

•Usage in Live applications Impala Architecture

Data retrieval using Impala

12) Dashboard applications using TableauConnecting Tableau with

Impala

13) Linux basics

14) IDEs: Eclipse

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15) IDEs : Netbeans

16) MapReduce programs in Java

17) Code Debugging Techniques

18) creating Jar files and working with Hadoop

19) Performance Tuning

20) Resume preparation

21) Interview Guidance

•Every Session with Practical scenario is our strength

•Assistance in installation and Hadoop Cluster set-up

•Complete Study Material ( soft copy )

•Lab Assistance

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Email : [email protected]

Our Training Features :

Job oriented real time Training.Exercise Real time project explanation & PracticalTraining material provided (Soft copy also provided).Personal care for each Trainee.Resume preparation & Placement Assistance.Interview Preparation Tips & Sample Interview Questions.