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CCD-410 Certifcation CCA-500 Hadoop Administrator Exam HBase Certifcation CCB-400 Data Science Certifcation Hadoop Training with Hands On Lab Hadoop Package Deal

HBase Professional Training

HBase Training with Hands On Practical (Module 10,11,12,13 and 14) with Life time Access and 24X7 Available ( Never Expires)  & Updates are Free for Lifetime 

Training Key Features

1. 24/7 Course Access for lifetime
2. As interactive as Classroom training
3. Very Cost effective
4. No PPT's at all, advanced way of teaching
5. In depth explaination of each topic 6.Contains Hands on session
7. Any New module will be without additional charge(In this training list only)
8. No travel and Hassel
9. Learn as per your comfort 
10. Real Cluster Hands On
11. Practice at Home using Virtual Machine

 

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Click Here For Training FAQ         Download Complete Syllabus in pdf format


Watch the sample Module below

Module: 1 NOSQL Introduction and Implementation: Available (Length 56 Minutes) 

  1. What is NoSQL ? 
  2. NoSQL Characteristics or Common Traits
  3. Categories of NoSQL DataBases
      • Key-Value Database
      • Document DataBase
      • Column Family DataBase
      • Graph DataBase
  4. Aggregate Orientation : Perfect fit for NoSQl
  5. NOSQL Implementation
  6. Key-Value Database Example and Use
  7. Document DataBase Example and Use
  8. Column Family DataBase Example and Use
  9. What is Polyglot persistence ?

Module: 2 Part A HBase Introduction : Available (Part-1 Length 48 Minutes)

  1. Fundamentals of HBase
  2. Usage Scenario of HBase
  3. Use of HBase in Search Engine
  4. HBase Data Model
    • Table and Row
    • Column Family and Column Qualifier
    • Cell and its Versioning
    • Regions and Region Server
  5. HBase Designing Tables
  6. HBase Data Coordinates
  7. Versions and HBase Operation
    • Get/Scan
    • Put
    • Delete

Module: 2 Part B HBase Introduction : Available (Part-2 Length-37 Minutes) 

  1. Fundamentals of HBase
  2. Usage Scenario of HBase
  3. Use of HBase in Search Engine
  4. HBase Data Model
      • Table and Row
      • Column Family and Column Qualifier
      • Cell and its Versioning
      • Regions and Region Server
  5. HBase Designing Tables
  6. HBase Data Coordinates
  7. Versions and HBase Operation
      • Get/Scan
      • Put
      • Delete

Module 3: HBase Shell and Java API understanding : Available (Length-47 Minutes) 

  1. Introduction to HBase Shell and Some Commands
  2. HBase Java API (Insert the data to HBase tables)
  3. HBase connection pooling
  4. RowKey
  5. HBase Co-ordinates
  6. HBase write path
      • a. WAL (Write ahead log)
      • b. Memstore
      • c. HFile

Module: 4 HBase Data Model and Key-Value : Available (Length-38 Minutes)

  1. HBase Data Model
  2. HBase Key-Value
  3. Reading HBase Data
  4. HBase Read Path
      • BlockCache
      • MemStore
      • HFile 
  5. Deleting Data
  6. HBase Housekeeping
      • Minor Compaction
      • Major Compaction

Module 5: HBase Java API in detail : Available (Length-43 Minutes)

  1. Use of GET and SCAN API
  2. Scan API in detail
  3. Optimized way to Scan HBase table
      • Restrict Results
      • Caching for Scan
      • Batching for Scan
      • Limit Based on Size
  4. Discuss ResultScanner and Result object
  5. Lease Period
  6. Hedged Read
  7. Introduction to Filter

Module 6 : HBase Regions and RegionServer : Available (Length-24 Minutes)

  1. HBase Regions
  2. HBase RegionServer

Module 7 : HBase Regions and RegionServer : Available (Length-18 Minutes)

  1. Finding Rows in Regions
  2. Finding -ROOT- and -META- tables
  3. Regions Split
  4. Workflow to search for RowKeys

Module 8 : File Based Data Structure (Part-1) : Available (Length-7 Minutes)

  1. Sequence File

Module 8 : File Based Data Structure (Part-2) : Available (Length-6 Minutes)

  1. MapFile

 Module 9: Hadoop Database and Random Read Write : Available (Length-27 Minutes)

  1. Introduction as Hadoop DataBase
  2. How HBase perform read and write on HDFS (Which does not support modification)

Module 10:  Hands On : Setting up the HBase Virtual machine for Hands on Session  : Available (Length-16 Minutes)

Module 11:  Hands On : Understanding HBase Master Web UI  : Available (Length-6 Minutes)

Module 12:  Hands On :  HBase Shell Commands : Available (Length-24 Minutes)

  1. Create table
  2. Update data
  3. Delete data
  4. Insert data
  5. Disable table
  6. Enable table
  7. Drop table

Module 13:  Hands On : HBase Java API : Available (Length-30 Minutes)

  1. Add User data
  2. Delete User Data
  3. Insert User data

Module 14:  Hands On : HFile Tool : Available (Length-31 Minutes)

Module 15: Time Series Data and Hot Spot : Available (Length-34 Minutes)

  1. Time Series Data and Hot Spot Region Server 
  2. Pre-Split regions to avoid hotspots

Module 16: HBase Raw Key Design : In Progress

Module 17:  Hands On : HBase Time Series Data and HotSpot : In Progress

Module 18: HBase Create table (HBaseAdmin tool) : In Progress

Many more will be added soon...

 

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Welcome !

HadoopExam Learning Resources is the Pioneer in Providing Hadoop and BigData Learning. Based on our quality material we have reached to 1100+ subscriber in just 3 months of launch (Is that not prove our quality material?) of our product launch. Please find the below statistics of the subscriber and their success.

Total subscriber (Training + Certification Simulator) 3600 as on 31-Mar-2014

Total Subscriber for Certification Material  : 2900+ ( 700+ already cleared the exam in first attempt and remaining are in preparation )

All the product from HadoopExam once subscribed will be available for lifetime and if any enhancement which we do like adding new modules in the training or adding new practice questions in certification Simulator these also be given to existing customer without any additional charge.

 Below are the Quality Products which HadoopExam has for the Hadoop and BigData Learning

 1. Hadoop Professional Training: This contain 15 modules recorded training (Read More..) 3500INR/$69

 2. Hadoop Developer Certification Material: This has 200 Questions for Hadoop Certification and Revision Notes which Save your lot of time for Certification preparation e.g. (Read More..) 2500INR/$55

 3.  Hadoop Admin Certification Material: This has 240 Questions for Hadoop Administrations Certification (Read More..) 2500INR/$55

If you are still thinking should I subscribe or not. We promise you will like our material compare to any other vendor, because we have proved our quality delivery at very minimal price (Almost 1/4th price compare to other training )

Soon we will be launching many products in BigData Domain please keep visiting this site www.HadoopExam.com .

Hadoop Training FAQ

Note : For Simulator FAQ click Here

1. Is this Hadoop Training Material Access is limited ?
Ans : Lifetime Access, once you buy the paid Subscriptions of Hadoop Training, it will have unlimited access. And any future updates will be freely available.

2. Am I going to get only 12 modules in these trainings ?
Ans : No, we are keep adding new modules to the training as on when it require. And access to new modules will not be on extra cost.

3. Why these training is so cost effective or cheaper ?
Ans: Because it require very little infrastructure to deliver, just a Single Computer/laptop/tablet with internet connection is enough to access these trainings.

4. Can I access these trainings 24/7 ?
Ans : Yes, we want our learner should get the material as on when they wanted. So you can access it 24/7. It requires internet connection only.

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Ans : If you are Indian Customer, you can transfer the money online/bank deposit in the mentioned ICICI bank account. And, if you are outside India and do not have bank India bank account, you can use PayPal to pay the money. Just click on Buy Now Button @ training Home Page

6. Does your paid subscription include any soft copy material ?
Ans: Yes, all the soft copy materials is mentioned in the training itself. Which you can download while wathcing the training.

7. Why people are preferring these trainings ?
Ans : Below are the most reason
1. 24/7 Course Access
2. As interactive as Classroom training
3. Very Cost effective
4. No PPT's at all, advanced way of teaching
5. In depth explanation of each topic
6. Hands on Session in Amazon EC2 cloud.

8. What if I have any issue while watching the training ?
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Ans : We suggest you watch first two modules of these trainings which is freely available, and then we are sure you will buy it. Within 3 month of the launch we had 760+ learners internationally, and on average its growing 200+ learners each month as of Jul-13

11. How do you make sure, your recorded training are best quality.
Ans : We record each training at least 3 times at first and then based on the learners feedback, if it has something missing we re-record the session.

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Ans : There are multiple option for this

1. Keep visiting www.HadoopExam.coom
2. Download the latest training Links pdf from www.HadoopExam.com (http://hadoopexam.com/BigData_Hadoop_Training_Links.pdf)
3. Or you can use following private playlist for all the videos :

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Hadoop Training (Hadoop Developer Training and Hadoop Administrator Training)

First two Modules are Freely Available for Demo, Check the Quality You will Definitely Say WOW!
 

Training Key Features

1. 24/7 Course Access
2. As interactive as Classroom training
3. Very Cost effective
4. No PPT's at all, advanced way of teaching
5. In depth explaination of each topic
6. Includes Hands On Session on Amazon EC2 cloud (So no need to setup at home machine for practice) 

Regular Price: $140.00
Early Bird Offer Price: $69.00 (Save Flat 50% )
Note: If having trouble while credit card payment then please create PayPal account and then pay.
India Bank Transfer
Regular Price: 7000 INR
Offer Price: 3500 INR (Save flat 50% )
Click Below for ICICI Bank Acct. Detail

Training FAQ

To Download Hadoop Training Brochure Click Here

Module 1 :  Introduction to BigData, Hadoop (HDFS and MapReduce) : Available (Length 35 Minutes)

1. BigData Inroduction
2. Hadoop Introduction
3. HDFS Introduction
4. MapReduce Introduction

Video URL :

Module 2 :  Deep Dive in HDFS : Available (Length 48 Minutes)

1. HDFS Design
2. Fundamental of HDFS (Blocks, NameNode, DataNode, Secondary Name Node)
3. Rack Awareness
4. Read/Write from HDFS
5. HDFS Federation  and High Availability
6. Parallel Copying using DistCp
7. HDFS Command Line Interface
Video URL :

Module 3 : Understanding MapReduce : Available (Length 60 Minutes)
1. JobTracker and TaskTracker
2. Topology Hadoop cluster
3. Example of MapReduce
Map Function
Reduce Function
4. Java Implementation of MapReduce
5. DataFlow of MapReduce
6. Use of Combiner

 Video URL :

Module 4 : MapReduce Internals -1 (In Detail) : Available (Length 57 Minutes)

1. How MapReduce Works
2. Anatomy of MapReduce Job (MR-1)
3. Submission & Initialization of MapReduce Job (What Happen ?)
4. Assigning & Execution of Tasks
5. Monitoring & Progress of MapReduce Job
6. Completion of Job
7. Handling of MapReduce Job
- Task Failure
- TaskTracker Failure
- JobTracker Failure

Video URL :

Module 5 : MapReduce-2 (YARN : Yet Another Resource Negotiator) : Available (Length 52 Minutes)

1. Limitation of Current Architecture (Classic)
2. What are the Requirement ?
3. YARN Architecture
4. JobSubmission and Job Initialization
5. Task Assignment and Task Execution
6.  Progress and Monitoring of the Job
7.  Failure Handling in YARN
- Task Failure
- Application Master Failure
- Node Manager Failure
- Resource Manager Failure

Video URL :

Module 6 : Advanced Topic for MapReduce (Performance and Optimization) : Available (Length 58 Minutes)

1. Job Sceduling
2. In Depth Shuffle and Sorting
3. Speculative Execution
4. Output Committers
5. JVM Reuse in MR1
6. Configuration and Performance Tuning

Video URL :

Module 7 : Advanced MapReduce Algorithm : Available (Length 87 Minutes)

File Based Data Structure
- Sequence File
- MapFile
Default Sorting In MapReduce
- Data Filtering (Map-only jobs)
- Partial Sorting
Data Lookup Stratgies
- In MapFiles
Sorting Algorithm
- Total Sort (Globally Sorted Data)
- InputSampler
- Secondary Sort

Video URL :

Module 8 : Advanced MapReduce Algorithm -2 : Available : Private (Length 67 Minutes)

1. MapReduce Joining
- Reduce Side Join
- MapSide Join
- Semi Join
2. MapReduce Job Chaining
- MapReduce Sequence Chaining
- MapReduce Complex Chaining

 

Video URL :

Module 9 : Features of MapReduce : Available : Private (Length 61 Minutes)

Introduction to MapReduce Counters
    Types of Counters
    Task Counters
    Job Counters
    User Defined Counters
    Propagation of Counters
Side Data Distribution
    Using JobConfiguration
    Distributed Cache
    Steps to Read and Delete Cache File

Video URL :

Module 10: MapReduce DataTypes and Formats : Available : Private (Length 77 Minutes)
      1.Serialization In Hadoop
      2. Hadoop Writable and Comparable
      3. Hadoop RawComparator and Custom Writable
      4. MapReduce Types and Formats
      5. Understand Difference Between Block and InputSplit
      6. Role of RecordReader
      7. FileInputFormat
      8. ComineFileInputFormat and Processing whole file Single Mapper
      9. Each input File as a record
    10. Text/KeyValue/NLine InputFormat
    11. BinaryInput processing
    12. MultipleInputs Format
    13. DatabaseInput and Output
    14. Text/Biinary/Multiple/Lazy OutputFormat MapReduce Types

Video URL :

 

Module 11 : Apache Pig : Available (Length 52 Minutes)

1. What is Pig ?
2. Introduction to Pig Data Flow Engine
3. Pig and MapReduce in Detail
4. When should Pig Used ?
5. Pig and Hadoop Cluster
6. Pig Interpreter and MapReduce
7. Pig Relations and Data Types
8. PigLatin Example in Detail
9. Debugging and Generating Example in Apache Pig

Video URL :

 

Module 12 : Fundamental of Apache Hive Part-1 : Available (Length 60 Minutes)

1. What is Hive ?
2. Architecture of Hive
3. Hive Services
4. Hive Clients
5. how Hive Differs from Traditional RDBMS
6. Introduction to HiveQL
7. Data Types and File Formats in Hive
8. File Encoding
9. Common problems while working with Hive
Video URL :

Module 13 : Apache Hive : Available (Length 73 Minutes )
1. HiveQL
2. Managed and External Tables
3. Understand Storage Formats
4. Querying Data
- Sorting and Aggregation
- MapReduce In Query
- Joins, SubQueries and Views
5. Writing User Defined Functions (UDFs)
3. Data types and schemas
4. Querying Data
5. HiveODBC
6. User-Defined Functions

Video URL :

 

Module 14 : Single Node Hadoop Cluster Set Up In Amazon Cloud : Available (Length 60 Minutes Hands On Practice Session)
1. � How to create instance on Amazon EC2
2. � How to connect that Instance Using putty
3. � Installing Hadoop framework on this instance
4. � Run sample wordcount example which come with Hadoop framework.
In 30 minutes you can create Hadoop Single Node Cluster in Amazon cloud, does it interest you ?

Video URL :

 

Module 15 : Hands On : Implementation of NGram algorithm : Available (Length 48 Minutes Hands On Practice Session)
1. Understand the NGram concept using (Google Books NGram )
2. Step by Step Process creating and Configuring eclipse for writing MapReduce Code
3. Deploying the NGram application in Hadoop Installed in Amazon EC2
4. Analyzing the Result by Running NGram application (UniGram, BiGram, TriGram etc.)

Video URL :

Module 16 : HBase : In Progress 
1. Introduction to HBase,
2. Schema Design
3. Cluster Architecture
4. HBase Components
 - RegionServer
 - Region
 - ZooKeeper
 - Master
 - Catalog Tables
5. Usage Scenerio of HBase

Video URL : In Progress

Module 17 :  Sqoop : In Progress 
1. Introduction to Sqoop
2. Database Imports
3. Database Export

Video URL : In Progress 

Module 18 :  ZoopKeeper  : In Progress
1. Introduction ZooKeeper
2. Data Modal
3. Operations
4. Implementation
5. Consistency
6. Sessions
7. States

Video URL : In Progress

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