Learn Hadoop Fundamentals Video Course on 2 DVDs Rs 599/-

Duration :  6 hours
32 Video Lessons


01. Hadoop Fundamentals For Data Scientists
0101 The Video Overview Profile Course

02. A Distributed Computing Environment
0201 The Motivation For Hadoop 
0202 A Brief History Of Hadoop 
0203 Understanding The Hadoop Architecture 
0204 Setting Up A Pseudo-Distributed Environment 
0205 The Distributed File System - HDFS 
0206 Distributed Computing With MapReduce 
0207 Count Word - The Hello World Of Hadoop

03. Computing With Hadoop
0301 How A MapReduce Job Works 
0302 Mappers And Reducers Into Detail 
0303 Working With Hadoop Via The Command Line - Starting HDFS And Yarn 
0304 Working With Hadoop Via The Command Line - Loading Data Into HDFS 
0305 Working With Hadoop Via The Command Line - Running A MapReduce Job 
0306 How To Use Our ​​Github Goodies 
0307 Working Into Python With Hadoop Streaming 
0308 Common MapReduce Tasks 
0309 Spark on Hadoop 2 
0310 Creating A Spark Application With Python

04. The Hadoop Ecosystem
0401 The Hadoop Ecosystem 
0402 Data Warehousing With Hadoop 
0403 Higher Order Data Flows 
0404 Notable Projects Other

05. Working With Data On Hive
0501 Introduction To Hive 
0502 Interacting With Data Via The Hive Console 
0503 Creating Databases, Tables, And Schemas For Hive 
0504 Loading Data Into Hive From HDFS 
0505 And Performing Data Querying Aggregations With Hive

06. Towards Last Mile Computing
0601 Decomposing Large Data Sets To A Computational Space 
0602 Linear Regressions 
0603 Summarizing Documents With TF-IDF 
0604 Classification Of Text 
0605 Parallel Canopy Clustering 
0606 Computing Recommendations Via Linear Log-Likelihoods

======================================================================

This DVDs are only suitable for a PC/laptop/Mac; it WILL NOT play on a TV 

======================================================================

Certified Hadoop Developer (Exam CCD-410) Video Training DVD Rs 399/-

Exam : Hadoop Developer CCDH 

Exam Code : CCD-410

Video Lessons 47

Duration : 5.45 Hours

Skill level : Intermediate & Advanced

Index Of Video Lessons


Section 1: Welcome to the Course

• Certified Hadoop Developer 02:30
• Welcome to the Course 03:34

Section 2: Introduction to Hadoop

• Big Data - Big value 05:46
• Understanding Big Data 05:16
• Hadoop and other Solutions 07:25
• Distributed Architecture - A Brief Overview 02:54
• Hadoop Releases  05:16
• Features between the releases

Section 3: Hadoop Setup

• Setup Hadoop  28:57
• Linux (Ubuntu) - Tips and Tricks 04:34
• HDFS commands 10:32
• Running a MapRed Program 07:48

Section 4: HDFS Architecture and Concepts

• HDFS Concepts 04:35
• HDFS Architecture 06:35
• HDFS Read and Write 04:54
• HDFS Concepts II 04:04
• Special Commands 06:34

Section 5: Understanding MapReduce

• MapReduce Introduction 06:05
• Understanding MapReduce Part 1 05:12
• Understanding MapReduce Part 2 05:19
• Running First MapReduce Program 10:31
• Combiner And Tool Runner 11:05
• Recap Map, Reduce and Combiner Part 1 07:27
• Recap Map, Reduce and Combiner Part 2 07:45

Section 6: MapReduce Types and Formats

• MapReduce Types and Formats 05:37
• Experiments with Defaults 07:11
• IO Format Classes 06:16
• Experiments with File Output - Advanced Concept 03:38

Section 7: Classic MapReduce and YARN

• Job Run- Classic MapReduce 07:54
• Failure Scenarios - Classic Map Reduce 03:45
• Job Run - YARN 09:45
• Failure Scenario - YARN 05:18
• Job Scheduling in MapReduce 05:06
• Shuffle and Sort 04:32
• Performance Tuning Features 07:10

Section 8: Advanced MapReduce Concepts

• Looking at Counters 06:21
• Hands on - Counters 03:32
• Sorting Ideas with Partitioner - Part 1 07:19
• Sorting Ideas with Partitioner - Part 2 05:31
• Map Side Join Operation 04:42
• Reduce Side Join Operation 04:29
• Side Distribution of Data 03:47
• Hadoop Streaming and Hadoop Pipes 02:24

Section 9: Introduction to Hadoop Ecosystem
Introduction to Pig 09:24
Introduction to Hive 10:07
Introduction to Sqoop 08:43
Knowing Sqoop 04:05

======================================================================

This DVDs are only suitable for a PC/laptop/Mac; it WILL NOT play on a TV 

======================================================================

Read More... CCNA Routing and Switching 200-120 Complete Video Course on 3 DVDs Rs 750/-

You might also like:

Learn Mastering the Hadoop Cluster Administration Video Training DVD Rs 399/-

38 Video Lessons
Duration : 9 hours 

Welcome to the Course
1 Introduction to Course 02:37
2 Career Opportunities with Hadoop 02:25
3 Terminology used in entire course 00:34

Introduction to Hadoop 
4 Data Explosion and conventional systems 05:00
5 Why Hadoop ? 01:32
6 Big Data example data set 03:15
7 Hadoop Origin and Distributions 02:53

Setting up Virtual machine and Single Node Cluster
8 Setting up Oracle Virtual machine 14:51
9 Some Basic Linux Commands 1 05:06
10 Some Basic Linux Commands -2 17:49
11 Hadoop Single Node Cluster setup - 1 21:42
12 Hadoop Single Node Cluster setup - 2 27:42
13 Hadoop HDFS Commands 24:39

HDFS Architecture and Concepts
14 HDFS Architecture 18:45
15 HDFS Concept (NameNode and DataNode) 14:03
16 Anatomy of HDFS file read and write 11:40
17 Other HDFS Concepts 17:37

MapReduce Framework
18 What is MapReduce ? Mapreduce example 12:16
19  JobTracker and TaskTrackers 28:28
20 Job Submission process 15:53
21 Mapreduce Concept and Features 32:47

Hadoop MultiNode Cluster Setup
22 Hadoop MultiNode Cluster setup - 1 17:51
23 Hadoop MultiNode Cluster setup - 2 17:43

Hadoop Mapreduce Commands
24 Mapreduce Commands - 1 22:07
25 Mapreduce Commands - 2 18:27

HDFS Admin Commands
26 HDFS Admin Commands - 1 16:33
27 HDFS Admin Commands - 2 23:06

Planning Of Hadoop Cluster
28 General Planning Considerations of Cluster 20:54
29 Configuring the System and OS parameters 15:41

Hadoop Specific Configuration Walkthrough
30 HDFS Configurations 04:33
31 Mapred and Common Configurations 10:47

Cluster Maintenance - 1
32 Adding DataNodes and TaskTrackers  13:24
33 Secondary NameNode and MetaData backup 16:01

Cluster Maintenance - 2
34 Clustered Shell and Configuration Management 13:38
35 Recovering the NameNode 04:26

Cluster Monitoring
36 Types of Monitoring 02:57
37 Monitoring with Nagios 15:25
38 Monitoring with Ganglia 14:45

======================================================================

This DVDs are only suitable for a PC/laptop/Mac; it WILL NOT play on a TV 

=======================================================================

Payment mode : CASH ON DELIVERY , Pay on my account ,Buying via ebay or ShopClues


Shipping : By Courier through all over India


Shipping charge : Rs 50/- Flat Rate shipping anywhere in India


You can get with in two days

Any Advanced Graphic Design Software Tutorials, IT Software Tutorials, Multimedia  Software Tutorials, All Engineering purpose Software Tutorials & All Software Tutorials Available

Place your Order On

www.easylearningdvds.in

For more details

Email : digitalcollections4u@gmail.com
https://www.facebook.com/TutorialsDVDs

Learn Hadoop MapReduce and BigData Video Training DVD Rs 400/-

Index of Video Lessons

SECTION 1: Introduction to Big Data
1 Introduction to the Course 04:55
Introduction to the Course
2 Why Hadoop, Big Data and Map Reduce Part - A 10:44
Introduction to Big Data, Hadoop and Map Reduce
3 Why Hadoop, Big Data and Map Reduce Part - B 10:22
4 Why Hadoop, Big Data and Map Reduce Part - C 12:34
5 Architecture of Clusters 19:09
Lecture to help you understand the server cluster architecture
6 Virtual Machine (VM), Provisioning a VM with vagrant and puppet 15:54
Learn all about virtual machine provisioning

SECTION 2: Hadoop Architecture
7 Set up a single Node Hadoop pseudo cluster Part - A 11:08
Learn to setup the single node cluster
8 Set up a single Node Hadoop pseudo cluster Part - B 12:34
9 Set up a single Node Hadoop pseudo cluster Part - c 12:07
10 Clusters and Nodes, Hadoop Cluster Part - A 13:23
Learn to set up a Hadoop Cluster
11 Clusters and Nodes, Hadoop Cluster Part - B 14:15
12 NameNode, Secondary Name Node, Data Nodes Part - A 11:05 
Lecture about Node Hiearchy
13 NameNode, Secondary Name Node, Data Nodes Part - B 10:14 
14 Running Multi node clusters on Amazons EMR Part - A 10:09
Learn to use Amazon web services for running multi node cluster
15 Running Multi node clusters on Amazons EMR Part - B 14:23
16 Running Multi node clusters on Amazons EMR Part - C 15:23
17 Running Multi node clusters on Amazons EMR Part - D 09:32
18 Running Multi node clusters on Amazons EMR Part - E 14:21

SECTION 3: Distributed file systems
19 Hdfs vs Gfs a comparison - Part A 13:17
A comparison between HDFS and GFS file systems
20 Hdfs vs Gfs a comparison - Part B 06:12
21 Run hadoop on Cloudera, Web Administration 17:32
Learn to Run Hadoop on Cloudera
22 Run hadoop on Hortonworks Sandbox 19:14
Learn to run Hadoop on Hortonworks
23 File system operations with the HDFS shell Part - A 14:03
Learn to perform file system operations using HDFS Shell
24 File system operations with the HDFS shell Part - B 19:37
25 Advanced hadoop development with Apache Bigtop Part - A 13:12
Learn all about Hadoop development using Apache Bigtop
26 Advanced hadoop development with Apache Bigtop Part - B 07:10

SECTION 4: Mapreduce Version 1
27 MapReduce Concepts in detail Part - A 13:12
Learn the underlying concepts of the Map Reduce algorithm
28 MapReduce Concepts in detail Part - B 10:55
29 Jobs definition, Job configuration, submission, execution and monitoring Part -A 09:39
Learn to create Hadoop Jobs
30 Jobs definition, Job configuration, submission, execution and monitoring Part -B 10:44
31 Jobs definition, Job configuration, submission, execution and monitoring Part -C 16:48
32 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part A 09:32
Learn the basic syntax of Hadoop
33 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part B 10:39
34 Hadoop Data Types, Paths, FileSystem, Splitters, Readers and Writers Part C 18:52
35 The ETL class, Definition, Extract, Transform, and Load Part - A 15:14
Learn all about the ETL class definition, transformation and load
36 The ETL class, Definition, Extract, Transform, and Load Part - B 24:14
37 The UDF class, Definition, User Defined Functions Part - A 12:18
Learn the basics of User defined class and functions
38 The UDF class, Definition, User Defined Functions Part - B 13:01

SECTION 5: Mapreduce with Hive ( Data warehousing )
39 Schema design for a Data warehouse Part - A 13:28
Learn the schema design for data warehousing
40 Schema design for a Data warehouse Part - B 12:00
41 Hive Configuration 17:53
Introduction to Hive and its use for Data Warehousing
42 Hive Query Patterns Part - A 13:52
Learn all about Hive Query Patterns
43 Hive Query Patterns Part - B 12:54
44 Hive Query Patterns Part - C 16:42
45 Example Hive ETL class Part - A 14:02
A live example to implement Hive ETL class
46 Example Hive ETL class Part - B 11:11

SECTION 6: Mapreduce with Pig (Parallel processing)
47 Introduction to Apache Pig Part - A 12:17
Introduction to Parallel Processing using Apache Pig
48 Introduction to Apache Pig Part - B 13:45
49 Introduction to Apache Pig Part - C 09:07
50 Introduction to Apache Pig Part - D 10:09
51 Pig LoadFunc and EvalFunc classes 13:28
Advance Pig features and usage of LoadFunc and EvalFunc Class 
52 Example Pig ETL class Part - A 12:40
A working example of PIG ETL class
53 Example Pig ETL class Part - B 14:11

SECTION 7: The Hadoop Ecosystem 54
Introduction to Crunch Part - A 15:20
A brief intro to Hadoop ecosystem and detail discussion on Crunch
55 Introduction to Crunch Part - B 12:52
56 Introduction to Avro 15:18
Learn all about the Arvo hadoop component
57 Introduction to Mahout Part - A 12:51
Lecture discussing the use and implementation of Mahout
58 Introduction to Mahout Part - B 13:05
59 Introduction to Mahout Part - C 13:32

SECTION 8: Mapreduce Version 2 60
Apache Hadoop 2 and YARN Part - A 12:44
Introduction to Yarn and its usage in hadoop 2
61 Apache Hadoop 2 and YARN Part - B 08:23
62 Yarn Examples 14:51
Yarn Implementation examples for beginners.

SECTION 9: Putting it all together
63 Amazon EMR example Part - A 12:03
Implementing the concepts on Amazon web services.
64 Amazon EMR example Part - B 11:46
65 Amazon EMR example Part - C 08:26
66 Amazon EMR example Part - D 10:18
67 Apache Bigtop example Part - A 12:46
A live example implementation of Apache Bigtop
68 Apache Bigtop example Part - B 13:01
69 Apache Bigtop example Part - C 13:27
70 Apache Bigtop example Part - D 13:54
71 Apache Bigtop example Part - E 13:06
72 Apache Bigtop example Part - F 13:45
73 Course Summary 04:40

======================================================================

This DVDs are only suitable for a PC/laptop/Mac; it WILL NOT play on a TV 

=======================================================================

Payment mode : CASH ON DELIVERY , Pay on my account ,Buying via ebay or ShopClues


Shipping : By Courier through all over India


Shipping charge : Rs 50/- Flat Rate shipping anywhere in India


You can get with in two days

Any Advanced Graphic Design Software Tutorials, IT Software Tutorials, Multimedia  Software Tutorials, All Engineering purpose Software Tutorials & All Software Tutorials Available

Place your Order On

www.easylearningdvds.in

For more details

Email : digitalcollections4u@gmail.com
https://www.facebook.com/TutorialsDVDs