Overview:

About Webdisining

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We look to provide web designing with multi service orientation, where you can excel in all forms of the digital marketing with the website.



Hadoop Course Content:
Course Objective Summary
During this course, you will learn:
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
Reporting Tool

Tableau
1.Virtualbox/VM Ware
Basics
Installations
Backups
Snapshots

2. Linux
Basics
Installations
Commands

3. Hadoop
Why Hadoop?
Scaling
Distributed Framework
Hadoop v/s RDBMS
Brief history of hadoop

4. Setup hadoop
Pseudo mode
Cluster mode
Ipv6
Ssh
Installation of java, hadoop
Configurations of hadoop
Hadoop Processes ( NN, SNN, JT, DN, TT)
Temporary directory
UI
Common errors when running hadoop cluster, solutions

5. HDFS- Hadoop distributed File System
HDFS Design and Architecture
HDFS Concepts
Interacting HDFS using command line
Interacting HDFS using Java APIs
Dataflow
Blocks
Replica

6. Hadoop Processes
Name node
Secondary name node
Job tracker
Task tracker
Data node

7. Map Reduce
Developing Map Reduce Application
Phases in Map Reduce Framework
Map Reduce Input and Output Formats
Advanced Concepts
Sample Applications
Combiner

8. Joining datasets in Mapreduce jobs
Map-side join
Reduce-Side join

9. Map reduce – customization
Custom Input format class
Hash Partitioner
Custom Partitioner
Sorting techniques
Custom Output format class
10. Hadoop Programming Languages :-

I.HIVE
Introduction
Installation and Configuration
Interacting HDFS using HIVE
Map Reduce Programs through HIVE
HIVE Commands
Loading, Filtering, Grouping….
Data types, Operators…..
Joins, Groups….
Sample programs in HIVE

II. PIG
Basics
Installation and Configurations
Commands….
OVERVIEW HADOOP DEVELOPER

11. Introduction

12. The Motivation for Hadoop

Problems with traditional large-scale systems
Requirements for a new approach
13. Hadoop: Basic Concepts
An Overview of Hadoop
The Hadoop Distributed File System
Hands-On Exercise
How MapReduce Works
Hands-On Exercise
Anatomy of a Hadoop Cluster
Other Hadoop Ecosystem Components

14. Writing a MapReduce Program
The MapReduce Flow
Examining a Sample MapReduce Program
Basic MapReduce API Concepts
The Driver Code
The Mapper
The Reducer
Hadoop's Streaming API
Using Eclipse for Rapid Development
Hands-on exercise
The New MapReduce API

15. Common MapReduce Algorithms
Sorting and Searching
Indexing
Machine Learning With Mahout
Term Frequency – Inverse Document Frequency
Word Co-Occurrence
Hands-On Exercise.

16.PIG Concepts..
Data loading in PIG.
Data Extraction in PIG.
Data Transformation in PIG.
Hands on exercise on PIG.

17. Hive Concepts.
Hive Query Language.
Alter and Delete in Hive.
Partition in Hive.
Indexing.
Joins in Hive.Unions in hive.
Industry specific configuration of hive parameters.
Authentication & Authorization.
Statistics with Hive.
Archiving in Hive.
Hands-on exercise
18. Working with Sqoop
Introduction.
Import Data.
Export Data.
Sqoop Syntaxs.
Databases connection.
Hands-on exercise

19. Working with Flume
Introduction.
Configuration and Setup.
Flume Sink with example.
Channel.
Flume Source with example.
Complex flume architecture.

20. OOZIE Concepts
21. IMPALA Concepts
22. HUE Concepts
23. HBASE Concepts
24. ZooKeeper concepts
Reporting Tool..
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

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

Analytical Process
Preparing for analysis
Getting, Cleaning and Classifying Your Data

Cleaning, formatting and reshaping.
Using additional data to support your analysis. Data classification Visual Mapping Techniques

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

Getting a Feel for the Data- Exploratory Analysis.
Making comparisons Looking at (co-)Relationships. Checking progress. Spatial Relationships. Try, try again. Communicating Your Findings

Fine-tuning for more effective visualization
Storytelling and guided analytics Dashboards

FAQ

1. How does the Online training work and Where do I go to access the online training?
All of our online courses are live instructor-led online courses .Course training is conducted through high-quality online technologies like webex,go to meeting.after registration of the course,access details and link will be given to the students.
2.how much internet speed is required to access online course?
1 mb internet speed is enough To access the online live classes.most of the students are access online training with low internet speed
3.Can I get recorded sessions as a material ?
Yes.we will provide all recorded session which you have done in previous classes on live session .complete practical guide and recorded sessions will be given with material.
4.Can I interact with course instructors?
Yes you can interact with instructors via phone or email to clarify you regarding subject also we provide 24/7 live support to our students.
5. what happen if I miss my training classes?
If any student missed any class.we will provide recorded session as a backup session and if you have any doubts regarding missed session our instructors will clarify on the spot.
6.will I get job assistance?
Yes we will provide job assistance for our students after completion of your course our instructors and career counselors will guide you till the student got placed .
7.is there any discount and offers I can avail?
We will not consider it is a business hence We provide all courses at reasonable prices .you can compare with others.even though our courses are very affordable we will some give discounts on selected courses.
8.who are the trainers?
We have 10+experience ,high qualified and certified trainers with industry expert.they are very knowledgeable in their core domains.
9.can I attend a Demo session?
Yes you can attend our demo session after you enroll the course completely it is free of cost and if you miss the demo we will provide prerecorded demo sessions recorded by our experts our experts
10.what are the payment options?
You can pay by credit card,debit card and net banking from all leading banks,for USD payments,you can pay by PayPal.
11.what if I have more queries?
You can give us a call at +91 9494347041 or email at contact@sbrtrainings.com

Online Hadoop Demo Training

Hadoop Course Duration

Online Training
It is a 35 to 40 Hours program and extends up to 2hrs each Day.
Corporate Training
It is a 6 days program and extends up to 8hrs each.
Classroom Training
Private Classroom arranged on request and minimum attendies for batch is 4.