Big Data & Hadoop Certification Training

Course designed by Experts to provide in-depth knowledge & practical skills to make you successful Big Data Professional
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  • Lectures 70
  • Length 12 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 2/2016 English

Course Description

Big Data & Hadoop Developer Training course helps you learn the core techniques and concepts of Big Data and Hadoop. Learn architecture and concepts of HDFS, Hadoop Cluster setup, Map-Reduce, Hadoop 2.x and Hive to become leader in this field. The course is designed in a format that meets your convenience, availability and flexibility needs.

Why Learn Hadoop?

2.5 quintillion bytes of data is created every day. So much that 90% of the data in the world today has been created in the last two years alone (Source: IBM). These extremely large datasets are hard to deal with using legacy systems such as RDBMS as data exceed the storage and processing capacity of database. The legacy systems are becoming obsolete.
According to Gartner: “Big Data is new Oil”. Big Data is all about finding the needle of value in a haystack of Structured, Semi-structured and Un-structured data. Hadoop (the Solution of All Big Data Problems) has become the most important component in the data stack, which enables rapid processing of data at petabyte scale. Hadoop is expected to be at the core of more than half of all analytics software within the next two years.

The demand for Big Data developers is outpacing the global supply as Hadoop becomes the predominant platform for data management and analytics.
According to Mckinsey: “The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.”
Gartner says “Big Data will create millions of jobs by 2016”
GE says “Big data is the future of industry”
IDC Says, “Big Data market will be growing 6 times faster than the overall IT market”
Experfy says, “Hadoop will grow at CAGR of 58%, will reach $50 billion by 2020″

What are the requirements?

  • Fundamental programming skills in Core Java is a minimum requirement

What am I going to get from this course?

  • Prepare to lead Hadoop movement and become employable in Big Data Industry
  • Learn how to Develop Game-Changing Hadoop Applications
  • Understand Complete Hadoop Architecture & Advanced features in Hadoop 2.x
  • Master the concepts of Hadoop Distributed File System (HDFS)
  • Get hands-on experience in Hadoop Setup on single and multi-node Cluster (on Amazon ec2)
  • Understand different configuration parameters of Hadoop cluster & its optimization
  • Master the advanced concepts of Map-Reduce framework
  • Learn to write Complex Map-Reduce programs (Both MRv1 and MRv2)
  • Master the concepts of YARN
  • Perform Data Analytics using Pig and Hive
  • Understand Data Loading Techniques using Flume
  • Implement Best Practices for Hadoop Development and Debugging
  • Design and develop applications involving large data using Hadoop eco system

What is the target audience?

  • Experienced Professionals and Freshers aspiring to make career in Big Data Analytics using Hadoop Framework
  • Developers, Programmers, ETL Developers, Data warehouse Developers, Testing Professionals
  • Business Analysts, BI consultants (SAP, Jaspersoft, Cognos, etc), Analytics Professionals, IT managers, SAAS Professionals, DBAs
  • Team Leads, Project Managers, General Managers, Architects, Delivery Heads, CXOs
  • Other professionals who are looking forward to make a shift in Big Data technologies and future proof their career

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Deep Dive into Big Data
Introduction to the Course
Preview
04:21
Big Data - The Biggest Buzz Word
Preview
03:33
Introduction to Big Data
06:28
Data Explosion
05:12
Understand 7 Vs of Big Data
17:43
Conventional Approach & Associated Problems
10:34
Big Data Use-cases - Real Life Case Studies
14:44
Future & Career in Big Data
Preview
07:33
Big Data Material
37 pages
Section 2: Introduction to Hadoop
Introduction to Hadoop
Preview
09:05
Why Hadoop
03:42
Basic Hadoop Architecture
01:57
Basics of HDFS
Preview
05:06
Basics of MapReduce
04:45
Hadoop Characteristics and Design Principles
14:06
Different Hadoop Distributions
03:44
Understanding Hadoop Ecosystem
02:09
Hadoop Quiz - 1
5 questions
Hadoop Quiz - 2
5 questions
Hadoop Material
21 pages
Section 3: Installation and Configuration of Hadoop
Step-1: Create Virtual Machine & Install Ubuntu
16:36
Step-2: Configure Prerequisites
13:13
Step-3: Configure and Install Hadoop
19:52
Hadoop Quiz - 3
5 questions
Section 4: Deploy Hadoop On Multi-node Cluster
Step-1: Launch Instances on AWS
14:26
Step-2: Configure Prerequisites
14:32
Step-3: Deploy Hadoop
26:19
Hadoop Quiz - 5
5 questions
Section 5: Understanding HDFS
Introduction to HDFS
04:19
Understand HDFS Nodes
10:41
Data Storage Mechanism in HDFS
07:07
HDFS Architecture
12:35
HDFS Quiz - 1
5 questions
HDFS Quiz - 2
5 questions
HDFS Features - Part-1
09:23
HDFS Features - Part-2
07:57
HDFS Features - Part-3
06:32
HDFS Quiz - 3
5 questions
HDFS Quiz - 4
5 questions
HDFS - File Read Operation
06:36
HDFS - File Write Operation
08:39
HDFS Workshop
19:43
HDFS Quiz - 5
5 questions
HDFS Material
30 pages
Section 6: Deep Dive into MapReduce
Introduction to MapReduce
04:12
Understanding at High Level
04:54
MapReduce Terminologies
05:13
MapReduce Daemons Insights
02:26
MapReduce Basic DataFlow
09:42
Understan MR Flow Using Wordcount Example
14:32
MapReduce Quiz - 1
5 questions
Understand Wordcount Example using the Animation
06:15
Deep Dive into Mapper
11:52
Deep Dive into Reducer
06:38
Understand Map and Reduce Together
03:06
MapReduce Quiz - 2
5 questions
Map Only Job
05:12
Understand Combiner
07:10
Comparision between RDBMS and Hadoop
03:30
Understand Data Locality
02:15
MapReduce Quiz - 3
5 questions
MapReduce Quiz - 4
5 questions
MapReduce Material
31 pages
Section 7: MapReduce Practicals
Practical-1: Understand MapReduce Code
14:40
Practical-2: Create First Project
16:12
MapReduce Assignment - 1
1 page
Practical-3
09:57
Practical-4: Problem Statement
02:26
Practical-4: Understand Code Part-1
14:56
Practical-4: Understand Code Part-2
12:17
Practical-5: Problem Statement
13:30
Practical-5: Understand Code
20:15
MapReduce Quiz - 5
5 questions
Section 8: Deep Dive into Hive
Introduction to Hive
06:06
Understing Hive Architecture
04:34
Hive Query Language
08:07
Hive Execution Flow
06:57
Hive Meta-store Layer
02:00
Schema on Read vs Schema on Write
03:29
Hive Serde
02:35
Pros & Cons of Hive
04:03
Data Partitioning
03:48
Hive Workshop - 1
13:38
Hive Quiz - 1
5 questions
Hive Quiz - 2
5 questions
Hive Material
21 pages

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Instructor Biography

DataFlair Web Services Pvt Ltd specializes in big data solutions for capturing, storing, searching and analysing structured and unstructured data from multiple sources. We aim to be one of the global leaders in Big Data Industry and provide best quality services to our clients.

We provide alternative learning platform, using a unique learning methodology of live online interactive courses along with 24x7 support. We aim to empower our customers with skills which will help them get an edge in their careers and improve their lives. With the use of technology, excellent instruction and flexible schedule we aim to become the largest and most engaging learning platform on earth. For more details visit: http://data-flair.training/

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