Big Data Hadoop - The Complete Course
3.5 (783 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,330 students enrolled

Big Data Hadoop - The Complete Course

Learn BIG DATA HADOOP Hands-on from Global Experts - Apache Hadoop, HDFS, Map Reduce, YARN, Hive, PIG, Impala, Scoop
3.5 (783 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
8,330 students enrolled
Last updated 12/2016
English
Price: $179.99
30-Day Money-Back Guarantee
This course includes
  • 11.5 hours on-demand video
  • 2 articles
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Understand Big Data Hadoop
  • Be proficient with Hadoop, HDFS, Map Reduce, Sqoop, Impala, Apache Pig, Hive and Zoo Keeper etc
  • Go for Big Data Hadoop Certifications
  • Gain Real-world skills required for job in any IT company
Requirements
  • Any device with internet will do — Windows, OSX or Linux.
  • No pre-knowledge is required
  • No software is required
  • Be ready to learn
Description

According to Forbes Big Data & Hadoop Market is expected to reach $99.31B by 2022 growing at a CAGR of 42.1% from 2015. McKinsey predicts that by 2018 there will be a shortage of 1.5M data experts. According to Indeed Salary Data, the Average salary of Big Data Hadoop Developers is $135k

This Big Data Hadoop - The Complete Course covers the topics from the basic level of beginner till the advanced professional levels required for Big Data Hadoop Certification. It's a must have course for prospective Big Data experts. The course covers Hadoop, HDFS, Map Reduce, YARN, Apache Hive, PIG, Impala, Scoop and ZooKeeper

Come join this course for a secure career!


Who this course is for:
  • Complete beginners who want to learn Big Data Hadoop
  • Professionals who want to go for Big Data Hadoop Certifications
Course content
Expand all 92 lectures 11:34:03
+ BIG DATA
8 lectures 01:32:25

Introduction

3Vs of Big Data

Preview 17:36
Big Data Concept Part 1
12:37
New forms
New languages
New hardware
Big Data Concept Part 2
12:26
Big Data Benefits Part 1
10:26
Big Data Benefits Part 2
07:02
Data Storage & Analysis
13:34
Querying data
08:31
HPC
Grid computing 
Grid computing
10:13
Big Data
4 questions
+ BIG DATA Hands-on Practice Exercise
6 lectures 14:39
Important Note for Exercises
00:13
Query a public dataset
02:47
Creating a dataset
03:17
Big table instance
03:31
Pub-Sub
01:55
+ HADOOP
31 lectures 04:29:57
Key features
Ecosystem
Vendor Integration
Hadoop Features
11:35
Introduction
File system
HDFS Architecture Part 1
12:12
Hard disk space
Streaming access pattern
HDFS Architecture Part 2
08:44
Nodes
Architecture
HDFS Architecture Part 3
09:40
Name Node
Data Node
Job Tracker
Task Tracker
HDFS Components
10:55
Client
Client Interaction
HDFS Client
09:35
Client data distribution
Heart beat
HDFS Components Part 2
11:01
Job Tracker
Job splits
HDFS Components Part 3
08:13
Job tracker
Query process
HDFS Components Part 4
08:13
Creation of new file
Data pipelining
HDFS Client creating new file
05:36
Rack Description
06:44
HDFS Write Operation
06:54
Selection of Data Nodes & Node Distance
09:59
Serialization
07:52
Block size
Command
HDFS Blocks
05:17
HDFS Caching & Failover
08:14
HDFS Federation
12:46
HDFS High Availability
09:27
HAR Files
Commands
Hadoop Archive files
10:38
Hadoop Releases
10:20
Hadoop 2.0 features
06:29
Processor
Memory
Cluster size
Cluster size specifications
06:37
Master node
Configurations 
Master Node scenario
08:16
Network Topology
04:50
Cluster Setup & Installation
09:30
Configuration Management
08:52
Data integrity
Block scan
HDFS Data Integrity
09:11
Capture data
Organize
Integrate
Analyze
Act
Cycle of Big Data Management
07:28
Data
Capture
Analyze
Cycle of Big Data Management 2
07:09
Cloud computing
Big data implementation
Big data in the Cloud
06:39
Hadoop
8 questions
+ HADOOP Hands-on Practice Exercise
6 lectures 22:49
Creating Cluster
04:28
HUE HDFS File Browser
02:26
HDFS File Browser 2
04:34
Cloud SQL Instance
05:16
Data Store Query
03:21
Google Storage
02:44
+ MAP REDUCE
12 lectures 01:40:08
Introduction
Map
Reduce
Preview 08:41
Code
Architecture
Map Reduce Part 1
07:47
Map Job
Splits
Map Reduce Part 2
08:20
Map phase
Shuffle & Sort
Reduce phase
Map Reduce Phases
10:57
Key value pair
Map Function
Map Reduce Part 3
06:34
Job Tracker
Job queue
Job Tracker Part 1
08:10
Job tracker
Task tracker
Job Tracker Part 2
06:05

Task Distribution

Job Tracker Part 3
08:58
Key Value pair
Anatomy
Anatomy of Map Reduce Program
11:27
Map Reduce Data Types
08:23
Custom data types
Avro
Map Reduce Data Types 2
08:23
SPOF
High availabilty
Resource Manager Failure
06:23
Map Reduce
8 questions
+ MAP REDUCE Hands-on Practice Exercise
4 lectures 13:26
Submit Job
01:31
Submit Job 2
00:54
HUE Job Designer
06:10
HUE METASTORE MANAGER
04:51
+ YARN
2 lectures 18:53
Introduction
Layers
YARN
07:25
YARN Processing
11:28
Yarn
5 questions
+ Apache HIVE
4 lectures 31:18
HIVE Basics
06:09
Components
Hcatalog
Web H cat
HIVE Basics Part 2
07:31
HIVE Architecture Part 1
08:32
HIVE
5 questions
+ Apache PIG
3 lectures 21:10
Introduction
Components
Apache PIG Introduction
07:03
Modes
Execution 
PIG modes
07:38
Comparison of PIG, HIVE , Map Reduce
06:29
PIG
5 questions