Enterprise Portal Online Training

Course Details:
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

RIZE Trainings offers wide range of courses belonging to business, IT, students, developers, data and working professionals, freshers etc; We regulate training about your expected courses and help you to advance your career. RIZE come up with numerous courses and offer training throughout the world like France, United states, China, India, Singapore, Germany, Australia, Canada etc; by using interface like webex and GoToMeeting.

RIZE trainers assist in developing Real time experience of the required course and also improving interview skills, knowledge, communication, content of the course, innovative project ideas, future scope etc,. This makes our students are becoming future experts and working as professionals in top rated companies.

The course begins in a few days, and I still do not have my login information. What do I do?
Once your registration for a course is completed, we will send activation link to start your sessions.

What happens if I miss my training date, do I have any options?
In case you miss training date, we will send recorded sessions to you. Otherwise, we assign for next live batch.

How does the online training work?
All of our online courses are live instructor led online courses. You will have the ability to interact directly with the trainer. Once registered for a class you will receive detailed instructions on how to access your class.

How do I receive the course materials?
You receive a link to download the course materials when you register. Our trainers assist you in your assessments, case studies, sample projects, interview skills etc;

Will I be able to view the sessions again at a later time?
Yes, We provide recorded sessions.

Who are your trainers?
All our trainers are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts. So that participants get a great learning experience.

Can I get the same in-class experience at home or work?
Yes. You can attend courses anywhere that has an Internet connection. If you choose to participate from your home or workplace, you must validate your own equipment to ensure it meets the required specifications.

What should I bring to class?
You need to have your course materials, Internet, computer headset and the Link to your Rizetrainings classroom e-mail, which contains the link and LOGIN credentials you need to take your course.

Where can I get more information?
If you need more information, please call us at +91 8019199995 or send mail to contact@rizetrainings.com . Rize Trainings Advisors will be happy to assist you.

Do you offer placements?
We help our customers for preparing their resumes, work on sample live projects and provide assistance for interview preparation. We don't offer any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.

What happens if I have technical problems during my class?
If you have technical difficulties, you call us at +91 8019199995 . Our support team will resolve any issues you might encounter.

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