Big Data Analytics Using Hadoop Course Classes

Big Data Analytics using Hadoop Training

Gain knowledge of Big Data Analytics concepts and tools along with Reinforce concepts by working on a Big Data Analytics Project

30 hours of Instructor-led sessions
Basic to Advanced level
Hands-on learning

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Key Features

30 hours of Interactive Instructor-led sessions

Immersive hands-on learning

Get in-depth knowledge of big data concepts and tools

Learn to extract information with Hadoop MapReduce including various tools & techniques - HDFS, Pig, Hive, etc.

Understand the use of best practices for Hadoop development by working on various big data projects

Our big data experts will guide students in implementing the technology for future projects

Description

Understand the A to Z of Big Data and Hadoop Analytics with our comprehensive Hadoop online training program. Using hands-on work examples you will learn to extract real time information with Hadoop MapReduce and the various tools and techniques such as HDFS, Pig, Hive, HBase, Sqoop, Oozie, and Flume.

Here’s what you will learn!

Gain in depth knowledge of Big Data Analytics concepts and tools
Process large data sets using the various tools of Big Data and extract relevant information from seemingly disparate sources
Query databases using Hadoop MapReduce to create scalable, flexible and cost effective solutions
Perform data analytics using Pig, Hive and Sqoop
Implement Integration with HBase and MapReduce
Schedule jobs using Oozie
Execute Flume jobs
Understand the use of best practices for Hadoop development
Reinforce concepts by working on a Big Data Analytics Project

Is this course right for you?

Architects and developers who design Hadoop-based solutions, data analysts, BI analysts, BI Developers, SAS Developers, consultants, Java software engineers and software developers working on Hadoop environments will find this course beneficial.

Why should you learn Big Data Analytics?

Examining large amounts of data called Big Data reveals patterns of trends, associations, and customer preferences and helps organizations take business decisions that will align them with market and customer need and increase profitability. This ultimately leads to business success, which is why Big Data Analytics and Hadoop is among the fastest growing technologies to be adopted by organizations across the world.Hadoop is an architecture that is highly scalable and flexible and has uses in such varied industries as telecommunications, retail, security, manufacturing, banking, media and healthcare. Big Data and Hadoop specialists who can leverage the Hadoop platform to deal with terabyte scale of data, are much sought after.Zeolearn’s workshop not only teaches candidates the theoretical aspects of the subject but also gives hands-on practice on using this technology.

Pre-requisites

Basic programming knowledge is desired though not a prerequisite for attending this course
Knowledge of Microsoft Windows platform

Curriculum

Module 1: Introducing Big Data & Hadoop

What is Big Data?
Characteristics of big data
Big Data challenges
Popular tools used with big data For storing, processing, analysing & visualization
Where Hadoop fits in?
Traditional data analytic's architecture versus Hadoop
What is Hadoop?
History of Hadoop
Hadoop’s key characteristics
Hadoop usage

Module 2: Hadoop Eco-system & Architecture

Module 3: Introduction to YARN

What is YARN?
MR1 v MR2
YARN architecture
HDFS Federation
YARN Deamons
YARN Job execution workflow
Authentication and high availability in Hadoop

Module 4: Hadoop Cluster Configuration

Hortonworks sandbox installation & configuration
Hadoop Configuration files
Working with Hadoop services using Ambari
Hadoop deamons
Browsing Hadoop UI consoles
Basic Hadoop Shell commands
Eclipse & winscp installation & configurations on VM

Module 5: Basics of MapReduce on YARN

Running a MapReduce application in MR2
MapReduce Framework on YARN
Fault tolerance in YARN
Map, Reduce & Shuffle phases
Understanding Mapper, Reducer & Driver classes

Module 6: MapReduce Programming

Writing Map Reduce WordCount program
Executing & monitoring a Map Reduce job
Use case - Sales calculation using M/R

Module 7: Analysis using Pig

Background of Pig
Pig architecture
Pig Latin basics
Pig execution modes
Pig processing – loading and transforming data
Pig built-in functions
Filtering, grouping, sorting data
Relational join operators
Pig Scripting
Pig UDF's

Module 8: Analysis using Hive Data Warehousing Infrastructure

Background of Hive
Hive architecture
Hive Query Language
Derby to MySQL database
Managed & external tables
Data processing – loading data into tables
Hive Query Language
Using Hive built-in functions
Partitioning data using Hive
Bucketing data
Hive Scripting
Using Hive UDF's

Module 9: Working with HBase

HBase overview
Data model
HBase architecture
HBase shell
Zookeeper & its role in HBase environment
HBase Shell environment
Creating table
Creating column families
CLI commands – get, put, delete & scan
Scan Filter operations

Module 10: Importing & Exporting Data using Sqoop

Importing data from RDBMS to HDFS
Exporting data from HDFS to RDBMS
Importing & exporting data between RDBMS & Hive tables

Module 11: Oozie Workflow Management

Overview of Oozie
Oozie Workflow Architecture
Creating workflows with Oozie

Module 12: Using Flume for Analysing Streaming Data

Introduction to Flume
Flume Architecture
Flume Demo

Frequently Asked Questions

What will I accomplish after doing this course?

After completing our course, you will be able to understand:

The need for Big Data and its applications in business
The various types of data used to extract Big data information
The basics of Hadoop including fundamentals of HDFs and MapReduce
How to navigate the Hadoop Ecosystem
How to use the various tools and techniques used to analyse Big Data
How to use Pig and Hive to extract data
How to increase sustainability and flexibility across the organization’s data sets
How to develop a Big Data strategy for promoting business intelligence

What project am I expected to do?

All participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will use Hadoop techniques on a complex data set to extract relevant information. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Is any previous experience necessary?

No prior experience in Hadoop is required. Basic programming knowledge is desired though not a prerequisite for attending this course, also basic knowledge of Microsoft Windows platform is desired.However, if you already have exposure to Hadoop, we can give you a more advanced project to work on based on your capabilities.

When will the classes be held?

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

How does the online training work?

You can attend our instructor-led live online classes from the convenience of your home or office, by logging into the virtual classroom on schedule. Classes are conducted via online live streaming, and the recordings will be made available for you a day later.

What infrastructure will I need to have in place for attending the classes?

Please ensure you have:

Internet Speed: Minimum 1.0 Mbps connection, with uninterrupted availability
OS: Windows any version above XP SP3, or Mac any version above OS X 10.6
500 MHz processor, 256 MB Ram, 3 GB HDD (minimum)
Headset: A good headset with a microphone. You will be responding to the instructor’s questions as well as listening to the lectures.

How many hours of study will be required every week?

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Will I get a certification after the training is complete?

On successful completion of the training, you will get a Course completion certificate. You will be required to work on a project, and will receive detailed project specifications to create an android application. Your project will be reviewed by an expert and if deemed satisfactory, you will be awarded a certificate that grades your performance. In case your project is found unsatisfactory in your first attempt, you can take some extra help and rework on it at no extra cost.

Will textbooks be provided?

No, you will not be required to refer to textbooks. The training is hands-on and all the course material and class recordings will be made available to you. You will learn by working on a project. You will be supported by your mentor and can clarify doubts at any point of time.

What if I miss a class?

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

I am not happy with the course- can I get a refund?

We always make sure that all our students are extremely satisfied with the training. However, if you find that it’s not working for you, you can discontinue immediately after your first session and request for a full refund within 7 business days from the class start date.Please refer our Refunds policy for more details.

I have some more questions; whom should I approach?

Please send in an email to hello@zeolearn.com, or contact us through any of the numbers at this link: https://www.zeolearn.com/contact-us We will respond to your queries within 24 hours.

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Big Data Analytics using Hadoop Training

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Modes of Delivery

Online Classroom

Classroom

One to One Training

Team/Corporate Training

Key Features

Description

Curriculum

Frequently Asked Questions

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