HADOOP TRAINING online classes Course content in hyderabad

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• Publié par: rsonlinehyd96
• Publié le: 03 octobre 2016
• Nombre de lectures: 0
• Langue: English

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Hadoop Training

Rs Trainings: is a brand andproviding quality onlineand offline trainings for students in
world wide. Rs TrainingsprovidingBest Hadooponline trainingin Hyderabad.

HIGHLIGHTS IN OUR TRAINING SERVICE:

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RStrainings is one best online and class room trainingin H centeryderabad,We are also
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trainings, corporate trainings, overview of courses and their scope.

COURSE CONTENT:
During this course, you will learn:
x Introduction to BigData and Analytics
x Introduction to Hadoop
x Hadoopecosystem - Concepts
x HadoopMap-reduce concepts and features
x Developingthe map-reduce Applications
x Pigconcepts
x Hive concepts
x Sqoopconcepts
x Flume Concepts
x Oozie workflow concepts
x Impala Concepts
x Hue Concepts
x HBASE Concepts
x ZooKeeper Concepts
x Real Life Use Cases
Reporting Tool
x Tableau

1. Virtualbox/VM Ware

x Basics
x Installations
x Backups
x Snapshots
2. Linux

x Basics
x Installations
x Commands
3. Hadoop

x WhyHadoop?
x Scaling
x Distributed Framework
x Hadoopv/s RDBMS
x Brief historyof hadoop
4. Setup hadoop

x Pseudo mode
x Cluster mode
x Ipv6
x Ssh
x Installation ofjava, hadoop
x Configurations of hadoop
x HadoopProcesses(NN, SNN, JT, DN, TT)
x Temporarydirectory
x UI
x Common errors when runninghadoopcluster, solutions
5. HDFS- Hadoop distributed File System

x HDFS Design and Architecture
x HDFS Concepts
x InteractingHDFS usingcommand line
x Interacting HDFS using Java APIs
x Dataflow
x Blocks
x Replica
6. Hadoop Processes

x Name node
x Secondaryname node
x Job tracker
x Task tracker
x Data node
7. Map Reduce

x DevelopingMapReduce Application
x Phases in Map Reduce Framework

x MapReduce Input and Output Formats
x Advanced Concepts
x Sample Applications
x Combiner
8. Joining datasets in Mapreduce jobs

x Map-sidejoin
x Reduce-Sidejoin
9. Map reduce±customization

x Custom Input format class
x Hash Partitioner
x Custom Partitioner
x Sorting techniques
x Custom Output format class
10. Hadoop Programming Languages
:I.HIVE

x Introduction
x Installation and Configuration
x InteractingHDFS usingHIVE
x Map Reduce Programs through HIVE
x HIVE Commands
x Loading, FilterLQJ *URXSLQJ«
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x Sampleprograms in HIVE
II. PIG

x Basics
x Installation and Configurations
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OVERVIEW HADOOP DEVELOPER

11. Introduction

12. The Motivation for Hadoop

x Problems with traditional large-scale systems
x Requirements for a new approach
13. Hadoop: Basic Concepts

x An Overview of Hadoop
x The HadoopDistributed File System
x Hands-On Exercise
x How MapReduce Works
x Hands-On Exercise
x Anatomyof a HadoopCluster
x Other HadoopEcosystem Components
14. Writing a MapReduce Program

x The MapReduce Flow
x Examininga Sample MapReduce Program
x Basic MapReduce API Concepts
x The Driver Code
x The Mapper
x The Reducer
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x UsingEclipse for Rapid Development
x Hands-on exercise
x The New MapReduce API
15. Common MapReduce Algorithms

x Sortingand Searching
x Indexing
x Machine LearningWith Mahout
x Term Frequency ±Inverse Document Frequency
x Word Co-Occurrence
x Hands-On Exercise.
16.PIG Concepts..

x Data loadingin PIG.
x Data Extraction in PIG.
x Data Transformation in PIG.
x Hands on exercise on PIG.
17. Hive Concepts.

x Hive QueryLanguage.
x Alter and Delete in Hive.
x Partition in Hive.
x Indexing.
x Joins in Hive.Unions in hive.
x Industryspecific configuration of hiveparameters.
x Authentication & Authorization.
x Statistics with Hive.
x Archivingin Hive.
x Hands-on exercise
18. Working with Sqoop

x Introduction.
x Import Data.
x Export Data.
x SqoopSyntaxs.
x Databases connection.
x Hands-on exercise
19. Working with Flume

x Introduction.
x Configuration and Setup.
x Flume Sink with example.
x Channel.

x Flume Source with example.
x Complex flume architecture.
20. OOZIE Concepts

21. IMPALA Concepts

22. HUE Concepts

23. HBASE Concepts

24. ZooKeeper concepts

ReportingTool..
Tableau
This course is designed for the beginner to intermediate-level Tableau user. It is for anyone
who works with data± regardless of technical or analytical background. This course is
designed to help you understand the important concepts and techniques used in Tableau to
move from simple to complex visualizations and learn how to combine them in interactive
dashboards.
Course Topics
Overview

x What is visual analysis?
x strengths/weakness of the visual system.
Laying the Groundwork for Visual Analysis

x Analytical Process
x Preparingfor analysis
Getting, Cleaning and Classifying Your Data

x Cleaning, formattingand reshaping.
x Usingadditional data to supportyour analysis.
x Data classification
Visual Mapping Techniques

x Visual Variables : Basic Units of Data Visualization
x Workingwith Color
x Marks in action: Common chart types
Solving Real-World Problems with Visual Analysis

x Gettinga Feel for the Data- ExploratoryAnalysis.
x Makingcomparisons
x Lookingat(co-)Relationships.
x Checking progress.
x Spatial Relationships.
x Try, tryagain.
Communicating Your Findings

x Fine-tuning for more effective visualization

x Storytellingandguided analytics
x Dashboards
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Contact Us:

RS TRAININGS

Flat NO : 402

NUKALA RESIDENCY

MADHAPUR,HITECCITY

HYDERABAD

ANDHRAPRADESH

PIN: 500081

Website:http://www.rstrainings.com

Email:[e-mail]