Learn Hadoop Security Video Training Tutorial DVD Rs 425/-

Duration: 5 hours 25 minutes

Chapter: Course Overview
About This Course 
About The Instructor 
Course Sittings 
At The End Of This Course 

Chapter: Tooling
Initializing Amazon Web Services 
Using Cloudera Director To Spin Up A Test Cluster 
Crash Course In Cloudera Manager 

Chapter: Hadoop Insecurities
Permissions And Encryption 
Where Permissions Stop 
Hive: Transform Harmful 

Chapter: Authentication With MIT Kerberos
Installing MIT Kerberos 
Enabling Kerberos Authentication 
Using MIT Kerberos
Submitting Jobs And Running Queries With Kerberos Auth 

Chapter: Authentication With Active Directory
Installing An AD Server 
Preparing AD Server For Hadoop 
Impala LDAP Authentication With Active Directory 
Using Hue With Active Directory 
Preparing Cluster With Kerberos Authentication 
Running The CM Wizard
Using Kerberos 
Sharing Kerberos Tickets With Active Directory 
Chapter: Authorization
No Authorization 
Enabling Sentry Authorization
Using Sentry - Defining Roles
Using Sentry - Querying With Hue
Custom Code And Hive UDFs With Sentry
HDFS Extended ACLs
HDFS Sentry Sync
Sentry Authentication With Solr - Part 1 
Sentry Authentication With Solr - Part 2 

Chapter: Encryption
Creating An HDFS Encryption Zone
Using HDFS Encryption Zones 
SSL: Crash Course In SSL Tools 
SSL: Preparing A Cluster For SSL Using A Self-Signed Root CA 
SSL: Enabling SSL For HDFS And Yarn 
SSL: Verifying SSL With HDFS And Yar 
SASL Hive And HiveServer2 
SSL With HBase And Oozie 
SSL With Impala 
SSL With Hue 

Chapter: Developer Topics
UserGroupInformation Basics
Delegation Tokens
Secure Impersonation 

Chapter: Administrator Topics
Role Assignments And Gateway Isolation
Hbase ACLs
Audits 
Sqoop
Joining An AD Domain

Chapter: Secure Hadoop Topics
The Secure Hadoop Market 
Cheats 

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

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

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

Learning Apache Pig And Analyse Hadoop Data using Apache Pig Video Training Tutorial DVD Rs 400/-

Overall Course Duration :17.5 Hours

Course 01: Learning Apache Pig Training Video

Duration: 1.5 hours

Video Lessons : 18

01. Introduction
What Is Apache Pig And Who Uses It
What You Should Expect From This Video
About The Author
0104 How To Access Your Working Files
02. Using Pig
0201 Pig CLI, The Grunt Shell
0202 Pig Latin Order, Join
0203 Pig Latin Group By, For Each And Parallel
0204 Hue With Pig
03. Pig And HCatalog
0301 What Is HCatalog
0302 Using Catalog With Pig
04. Advanced Pig
0401 Pig Scripts
0402 Parameters In Pig Scripts
0403 Pig And Oozie
05. Programming With Pig
0501 Embedded Pig
06. Pig UDF's And Streaming
0601 User Defined Functions
0602 Streaming Pig Data Through Custom Scripts
0603 Using Hive UDFs In Pig
07. Conclusion
0701 Wrap Up



Course 02: Learn how to Analyse Hadoop Data using Apache Pig

Duration : 9 hours 

Video Lessons : 60

Module-0: Introduction to Course

Module-1: Getting started with Apache PIG

Module-2: Pig Latin language and its statement

Module-3: PIG Model and Operators

Module-4: PIG's Built in Functions

Module-5: PIG Scripts and UDF’s

Module-6: Control Structures

Module-7: Shell and Utility Commands

Module-8: Compression with PIG

Module-9: Testing and Diagnostics


Course 03: Programming Hadoop with Apache Pig

Duration : 1.5 hours 

Video Lessons : 17


Pig Basics and Installation of Horton Sandbox


Data Types and Operators

FUNCTIONS

JOIN and UNION Operators

Pig Commands and UDF


Course 04: Process Big Data using Apache PIG

Duration : 5.5 hours

Video Lessons: 45

Module-0 Introduction to the Course

Module-1 Basics of Big Data, Hadoop and Pig

Module-2 PIG Latin Language, Architecture and Modes of Pig

Module-3 Data Model, Operators and Streaming in PIG

Module-4 Different Kinds of Built-In Functions in PIG

Module-5 Advanced Pig Latin with Pig Scripts,UDF's,Utility Commands

Module-6 File Compression

Module-7 Advanced Pig Latin

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

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

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

Apache Software Foundation 16 Video Training Course on 4 DVDs Rs 999/-

Course 01_Learning Apache Hadoop
Duration :7 hours 37 minutes

Course 02_Learn Apache Hadoop YARN
Duration 7 Hours

Course 03_Study Guide for the Developer Certification for Apache Spark
Duration : 3 hours 41 minutes

Course 04_Learning Apache Maven
Duration:  5 hours - 54 tutorial videos

Course 05_Introduction to Apache Spark for Developers and Engineers
Duration - 2Hours
55 Video Lessons

Course 06_Big Data Analytics with Apache Spark and Python
Duration : 5 hours

Course 07_Introduction to Apache Hive
Duration: 1 hour 42 minutes

Course 08_Learning Apache Cassandra  Video Training
Duration: 8 hours - 123 tutorial Lessons

Course 09_Learn Apache Cassandra From Scratch
Duration: 4 Hours
Video Lessons 24

Course 10_Introduction to Apache Kafka
Duration:  2 hours 55 minutes

Course 11_Building Apache HBase Applications
Duration : 2 hours 38 minutes

Course 12_Introduction to Apache HBase Operations
Duration : 3 hours 44 minutes

Course 13_Learning Apache Pig
Duration:  1 hour 40 minutes

Course 14_Learn how to Analyse Hadoop Data using Apache Pig
Duration:  10 Hours - 59 Video Lessons 

Course 15_Programming Hadoop with Apache Pig
Duration:  1.5 Hours - 17 Video Lessons 

Course 16_Process Big Data using Apache PIG
Duration:  5.5 Hours - 49 Video Lessons

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

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

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

Master in Data Science with R (6 Courses) Video Training DVD Rs 599/-

Total Course : 6 Course
Total Duration : 27:15 Hours
Total DVDs : 2 DVDs


Course 01. Learning to Program with R

Duration: 4.5 hours
56 tutorial videos

01. Introduction
Introduction And Course Overview
Installing R And R Studio
Navigating R Studio
Packages
Assigning Variables
Numbers, Strings, And Booleans
Workspace Operations
0109 How To Access Your Working Files
02. Basic Operations And Manipulations
Basic Operators
Vectors
Sequences
Basic Statistical Functions
Matrices
Matrix Operations
Basic Matrix Statistics
Generating Random Numbers
String Functions
Dates And Times
03. Plotting
0301 Line Plots
0302 Plotting Arguments
0303 Bar Graphs And Histograms
0304 Scatter Plots
0305 Probability Plots
0306 Combining And Saving Plots
04. Working With Data
0401 Arrays
0402 Lists
0403 Data Frames
0404 Data Import
0405 Missing Data - Part 1
0406 Missing Data - Part 2
0407 Ordering And Sorting
0408 Subsetting And Indexing
0409 Merging Data
0410 Examining Files And Objects
05. Data Analysis
0501 Descriptive Statistics
0502 Apply Functions
0503 Linear Models
0504 Extracting Model Information
0505 Principal Componant Analysis
06. Time Series Data
0601 XTS Objects
0602 ACF Plots
0603 Decomposition
0604 Exponential Smoothing
0605 Rolling Functions
0606 ARIMA Models
07. Conditional Statements And Loops
0701 If Statements
0702 For Loops
0703 While Loops
0704 Appending Loops
08. User-Defined Functions
0801 Writing Functions
0802 Debugging Functions
0803 Recursive Functions
09. Saving Data
0901 Saving Different Types Of Data
0902 Additional Resources



Course 02. Introduction to Data Science with R

Duration : 8 hours 36 minutes


Introduction to Data Science with R

Introduction to the Course 15m  29s

The R Language 1

Orientation to R 16m  39s

Data Structures and Types 16m  06s

Lists and Data Frames 18m  24s

The R Language 2
Subsetting 1 24m  15s

Subsetting 2 08m  02s

R Packages 05m  48s

Logical Tests 31m  19s

Missing Values 10m  55s

Visualizing Data
Introduction to ggplot2 07m  44s

Aesthetics 13m  45s

Facetting 07m  17s

Geoms 16m  24s

Position Adjustments 13m  06s

Visualizing Distributions 16m  43s

Visualizing Big Data 09m  05s

Saving Graphs 05m  46s

Adjusting Graphs
Visualizing Map Data 10m  14s

Titles and Coordinate Systems 11m  39s

Scales and Color Schemes 12m  12s

Themes 07m  07s

Axis Labels and Legends 09m  44s

Further Learning 03m  12s

Tidy Data
Reading in Data 09m  19s

Melt 12m  55s

dcast 08m  27s

rbind and cbind 02m  13s

Saving Data 04m  59s

Transforming Data
Line Plots 07m  17s

Filter and Select 04m  58s

Arrange, Mutate, and Summarize 07m  28s

Joining Data Sets 10m  53s

Grouping Data 08m  14s

The tbl Format 03m  06s

Advanced Manipulations 11m  28s

Modeling Basics
Introduction to Modeling 06m  22s

Linear Models and Model Syntax 16m  21s

Model Inference 15m  40s

Categorical Variables 07m  45s

Multivariate Models 18m  06s

Advanced Modeling

Introduction to Variable Selection 11m  17s

Best Subsets Selection 07m  21s

Stepwise Selection 11m  31s

Penalized Regression 04m  15s

Non-linear Models 19m  09s

Logistic Regression 10m  23s

Modeling Resources 02m  39s

Further Learning

Resources for R 03m  39s

Course 03. Expert Data Wrangling with R

Duration : 3 hours 50 minutes


Introduction 06m  30s

Two New Conventions 08m  17s

Data Science for Data Wranglers 14m  20s

Data Manipulation

The dplyr Package 02m  23s

Select Variables 08m  28s

Filter Observations 10m  02s

Derive Variables 06m  03s

Summarize Observations 08m  41s

Group Observations 17m  37s

Re-Arrange Observations 05m  08s

Case Study 1 - TB Counts 08m  26s

Data Science for Data Wranglers, Part 2 - Units of Analysis 14m  32s

Data Tidying

Data Science for Data Wranglers, Part 3 - Tidy Data 10m  45s

Reshape the Layout of Your Data 18m  13s

Separate and Unite Variables 06m  51s

Data Science for Data Wranglers, Part 4 - The Best Format 17m  42s

Combine Data Sets 16m  33s

Case Study 2 - TB Rates 09m  08s

Data Visualization

Data Science for Data Wranglers, Part 5: The Structure of Visualizations 05m  53s

Visualize Observations 08m  28s

Visualize Variables 17m  04s

Conclusion

How to Learn More 09m  35s


Course 04. Writing Great R Code 

Duration : 59 minutes

Writing Great R Code - 59 minutes



Course 05. Data Science with Microsoft Azure and R

Duration: 7 hours - 72 tutorial videos


01. Introduction
Introduction
About The Author
02. Overview Of Azure ML
Introduction To Azure ML Studio
Experiments And Workflows In Azure ML Studio
Azure ML Modules
Data I/O In Azure ML
Creating And Evaluating A First Machine Learning Model
Documentation And Examples
03. Introduction To R In Azure ML
Editing, Debugging And Executing R In Azure ML
An Execute R Script Example
The Create R Model Module
04. Data Science Examples
0401 Overview Of Data Science Examples
0402 The Data Science Process
05. Data Munging In Azure ML
0501 Introduction To Data Transformation And Cleaning
0502 Dealing With Metadata
0503 Duplicate And Missing Data
0504 Standardization And Transformation
0505 Errors And Outliers
0506 Quantization And Categories
0507 Combining Data Joins
06. SQL In Azure ML
0601 Introduction To Apply SQL Transformation Module
0602 Apply SQL Transformation Exercise
07. Using The dplyr Package
0701 Intro To dplyr
0702 dplyr Example - Part 1
0703 dplyr Example - Part 2
08. Installing R Packages In Azure ML
0801 Installing R Packages
09. Reshaping Data With tidyr
0901 Reshaping Data With tidyr
10. Time Series Data In Azure ML
1001 Date-Time Classes In Azure ML
1002 POSIXct Example
11. The ggplot2 Package
1101 Intro To ggplot2
1102 ggplot2 Exercise
12. Feature Selection And Dimensionality Reduction
1201 Introduction To Feature Selection And Dimensionality Reduction
1202 Exercise - Filter Based Feature Selection
1203 Exercise - randomForest Feature Selection
1204 Projection Methods for Dimensionality Reduction
13. Functional Programming With R
1301 Introduction To Functional Programming With R
1302 Functional Programming Example
14. Regression Example
1401 Introduction To Regression Example
1402 Data Preparation Example
1403 Examining Correlations
1404 Time Series Plots
1405 Understanding Features With Box Plots
1406 Other Exploratory Plots
1407 Feature Selection
1408 Model Evaluation With Time Series Plots
1409 Model Evaluation Of Residuals - Part 1
1410 Model Evaluation Of Residuals - Part 2
15. Regression Example - Improving the Model
1501 Introduction To Improving the Model
1502 Using An R Model
1503 Creating A New Azure ML Model
1504 Trimming Outliers
1505 Optimizing Model Parameters
1506 Further Improvements And Summary
16. R Object Communications In Azure ML
1601 Introduction To R Object Serialization
1602 R Object Serialization Example
17. Classification Example
1701 Introduction To Classification Example
1702 Data Preparation - Part 1
1703 Data Preparation - Part 2
1704 Exploring The Data
1705 Balance Cases
1706 Feature Selection
1707 Building Initial Models
1708 Model Evaluation
1709 First R Model
1710 Improving the R Model
1711 Summary
18. Azure ML Web Services
1801 Overview Of Publishing Azure ML Models As Web Services
1802 Creating An Azure ML Web Service
1803 Updating An Azure ML Web Service
1804 R Model Publishing
1805 Summary
19. Conclusion
1901 Wrap-Up


Course 06_Using R and Hadoop for Statistical Computation at Scale

Duration : 2.44 Hours


PART -1 : 1 H 20 M

PART -2 : 1 H 24 M

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

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

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

Learn Apache Cassandra Video Training Tutorial DVD Rs 399/-

Duration: 8 hours 

123 Video Lessons

01. Introduction To Cassandra
Introducing The Course
Understanding What Cassandra Is
Learning What Cassandra Is Being Used For
Understanding The System Requirements
0105 How To Access Your Working Files
Opening The Main Virtual Machine

02. Getting Started With The Architecture
Understanding That Cassandra Is A Distributed Database
Learning What Snitch Is For
Learning What Gossip Is For
Learning How Data Gets Distributed
Learning About Replication
Learning About Virtual Nodes

03. Installing Cassandra
Downloading Cassandra
Ensuring Oracle Java 7 Is Installed
Installing Cassandra
Viewing The Main Configuration File
Providing Cassandra With Permission To Directories
Starting Cassandra
Checking Status
Accessing The Cassandra system.log File

04. Communicating With Cassandra
0401 Understanding Ways To Communicate With Cassandra
0402 Using Cqlsh
0403 Pop Quiz
05. Creating A Database
0501 Understanding A Cassandra Database
0502 Defining A Keyspace
0503 Deleting A Keyspace
0504 Pop Quiz
0505 Lab: Create A Second Database

06. Creating A Table
0601 Creating A Table
0602 Defining Columns And Data Types
0603 Defining A Primary Key
0604 Recognizing A Partition Key
0605 Specifying A Descending Clustering Order
0606 Pop Quiz
0607 Lab: Create A Second Table

07. Inserting Data
0701 Understanding Ways To Write Data
0702 Using The INSERT INTO Command
0703 Using The COPY Command
0704 How Data Is Stored In Cassandra
0705 How Data Is Stored On Disk
0706 Pop Quiz
0707 Lab: Insert Data

08. Modeling Data
0801 Understanding Data Modeling In Cassandra
0802 Using A WHERE Clause
0803 Understanding Secondary Indexes
0804 Creating A Secondary Index
0805 Defining A Composite Partition Key
0806 Pop Quiz

09. Creating An Application
0901 Understanding Cassandra Drivers
0902 Exploring The DataStax Java Driver
0903 Setting Up A Development Environment
0904 Creating An Application Page
0905 Acquiring The DataStax Java Driver Files
0906 Getting The DataStax Java Driver Files Through Maven
0907 Providing The DataStax Java Driver Files Manually
0908 Connecting To A Cassandra Cluster
0909 Executing A Query
0910 Displaying Query Results - Part 1
0911 Displaying Query Results - Part 2
0912 Using An MVC Pattern
0913 Pop Quiz
0914 Lab: Create A Second Application - Part 1
0915 Lab: Create A Second Application - Part 2
0916 Lab: Create A Second Application - Part 3

10. Updating And Deleting Data
1001 Updating Data
1002 Understanding How Updating Works
1003 Deleting Data
1004 Understanding Tombstones
1005 Using TTLs
1006 Updating A TTL
1007 Pop Quiz
1008 Lab: Update And Delete Data

11. Selecting Hardware
1101 Understanding Hardware Choices
1102 Understanding RAM And CPU Recommendations
1103 Selecting Storage
1104 Deploying In The Cloud
1105 Pop Quiz

12. Adding Nodes To A Cluster
1201 Understanding Cassandra Nodes
1202 Having A Network Connection - Part 1
1203 Having A Network Connection - Part 2
1204 Having A Network Connection - Part 3
1205 Specifying The IP Address Of A Node In Cassandra
1206 Specifying Seed Nodes
1207 Bootstrapping A Node
1208 Cleaning Up A Node
1209 Using cassandra-stress
1210 Pop Quiz
1211 Lab: Add A Third Node

13. Monitoring A Cluster
1301 Understanding Cassandra Monitoring Tools
1302 Using Nodetool
1303 Using JConsole
1304 Learning About OpsCenter
1305 Pop Quiz
14. Repairing Nodes
1401 Understanding Repair
1402 Repairing Nodes
1403 Understanding Consistency - Part 1
1404 Understanding Consistency - Part 2
1405 Understanding Hinted Handoff
1406 Understanding Read Repair
1407 Pop Quiz
1408 Lab: Repair Nodes For A Keyspace

15. Removing A Node
1501 Understanding Removing A Node
1502 Decommissioning A Node
1503 Putting A Node Back Into Service
1504 Removing A Dead Node
1505 Pop Quiz
1506 Lab: Put A Node Back Into Service

16. Redefining A Cluster For Multiple Data Centers
1601 Redefining For Multiple Data Centers - Part 1
1602 Redefining For Multiple Data Centers - Part 2
1603 Changing Snitch Type
1604 Modifying cassandra-rackdc.properties
1605 Changing Replication Strategy - Part 1
1606 Changing Replication Strategy - Part 2
1607 Pop Quiz

17. Resources For Further Learning
1701 Accessing Documentation
1702 Reading Blogs And Books
1703 Watching Video Recordings
1704 Posting Questions
1705 Attending Events
1706 Wrap Up

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

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

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