http://mindsmapped.com/big-data-hadoop-training-course-contents.html | bigdata hadoop training course contents | ONLINE hadoop training | hadoop training | Bigdata Hadoop Training Online | Bigdata Hadoop Training | BigData Training | Hadoop training | Bigdata online Training | bigdata course contents | hadoop course contents | bigdata Hadoop course contents | Hadoop online Training | Bigdata hadoop interview questions | Bigdata haoop interview questions online | Bigdata job | Hadoop job | Bigdata Hadoop Job | online bigdata training and placement | Online Hadoop online Training and Placement |Bigdata hadoop certification | Bigdata Hadoop Skillset | Hadoop training | Online hadoop training

http://mindsmapped.com/big-data-hadoop-training-course-contents.html | bigdata hadoop training course contents| Online hadoop training | hadoop training | bigdata course contents | hadoop course contents | bigdata Hadoop course contents | Business Analyst (BA) Training Online|Bigdata Hadoop Training Online | Bigdata Hadoop Training | BigData Training | Hadoop training | Bigdata online Training | Hadoop online Training | Bigdata hadoop interview questions | Bigdata haoop interview questions online | Bigdata job | Hadoop job | Bigdata Hadoop Job | online bigdata training and placement | Online Hadoop online Training and Placement |Bigdata hadoop certification | Bigdata Hadoop Skillset

 

CONTACT  US

 
ENROLL NOW
Call Us
(+1) 385 743 0999
(+1) 385 237 9777
Email Us
info@mindsmapped.com
Receive Call Back

BigData/Hadoop Course Contents

MindsMapped online BigData/Hadoop Course Contents

Session 1 - Introduction to Big Data

 	1.Importance of Data
 	2.ESG Report on Analytics
 	3.Big Data & It’s Hype
 	4.What is Big Data?
 	5.Structured vs Unstructured data
 	6.Definition of Big Data
 	7.Big Data Users & Scenarios
 	8.Challenges of Big Data
 	9.Why Distributed Processing?

Session 2 – Hadoop

 	1.History Of Hadoop
 	2.Hadoop Ecosystem
 	3.Hadoop Animal Planet
 	4.When to use & when not to use Hadoop
 	5.What is Hadoop?
 	6.Key Distinctions of Hadoop
 	7.Hadoop Components/Architecture
 	8.Understanding Storage Components
 	9.Understanding Processing Components
 	10.Anatomy Of a File Write
 	11.Anatomy of  a File Read

Session 3 – Understanding Hadoop Cluster

 	1.Handout discussion
 	2.Walkthrough of CDH setup
 	3.Hadoop Cluster Modes
 	4.Hadoop Configuration files
 	5.Understanding Hadoop Cluster configuration 
 	6.Data Ingestion to HDFS

Session 4 - MapReduce

 	1.Meet MapReduce
 	2.Word Count Algorithm – Traditional approach
 	3.Traditional approach on a Distributed system
 	4.Traditional approach – Drawbacks
 	5.MapReduce approach
 	6.Input & Output Forms of a MR program
 	7.Map, Shuffle & Sort, Reduce Phases
 	8.Workflow & Transformation of Data
 	9.Word Count Code walkthrough

Session 5 - MapReduce

 	1.Input Split & HDFS Block
 	2.Relation between Split & Block
 	3.MR Flow with Single Reduce Task
 	4.MR flow with multiple Reducers
 	5.Data locality Optimization
 	6.Speculative Execution

Session 6 – Advanced MapReduce

 	1.Combiner
 	2.Partitioner
 	3.Counters
 	4.Hadoop Data Types
 	5.Custom Data Types
 	6.Input Format & Hierarchy
 	7.Output Format & Hierarchy
 	8.Side Data distribution - Distributed cache

Session 7 – Advanced MapReduce

 	1.Joins
 	2.Map side Join using Distributed cache
 	3.Reduce side Join
 	4.MR Unit – An Unit testing framework

Session 8 – Pig

 	1.What is Pig?
 	2.Why Pig?
 	3.Pig vs Sql
 	4.Execution Types or Modes
 	5.Running Pig
 	6.Pig Data types
 	7.Pig Latin relational Operators 
 	8.Multi Query execution
 	9.Pig Latin Diagnostic Operators

Session 9 – Pig

 	1.Pig Latin Macro & UDF statements
 	2.Pig Latin  Commands
 	3.Pig Latin  Expressions
 	4.Schemas
 	5.Pig Functions
 	6.Pig Latin File Loaders
 	7.Pig UDF & executing a Pig UDF


Session 10 – Hive

 	1.Introduction to Hive
 	2.Pig Vs Hive
 	3.Hive Limitations & Possibilities
 	4.Hive Architecture
 	5.Metastore
 	6.Hive Data Organization
 	7.Hive QL
 	8.Sql vs Hive QL
 	9.Hive Data types
 	10.Data Storage
 	11.Managed & External Tables

Session 11 – Hive

 	1.Partitions & Buckets
 	2.Storage Formats
 	3.Built-in Serdes 
 	4.Importing Data 
 	5.Alter & Drop Commands
 	6.Data Querying

Session 12 – Hive

 	1.Using MR Scripts
 	2.Hive Joins
 	3.Sub Queries
 	4.Views
 	5.UDFs

Session 13 – HBase

 	1.Introduction to NoSql & HBase
 	2.Row & Column oriented storage
 	3.Characteristics of a huge DB
 	4.What is HBase?
 	5.HBase Data-Model
 	6.HBase vs RDBMS
 	7.HBase architecture
 	8.HBase in operation
 	9.Loading Data into HBase 
 	10.HBase shell commands
 	11.HBase operations through Java
 	12.HBase operations through MR


Session 14 – ZooKeeper & Oozie 

 	1.Introduction to Zookeeper
 	2.Distributed Coordination
 	3.Zookeeper Data Model
 	4.Zookeeper Service
 	5.Zookeeper in HBase
 	6.Introduction to Oozie
 	7.Oozie workflow

Session 15 – Sqoop

 	1.Introduction to Sqoop
 	2.Sqoop design
 	3.Sqoop Commands
 	4.Sqoop Import & Export Commands
 	5.Sqoop Incremental load Commands


Session 16 –  Hadoop 2.0 & YARN
 	1.Hadoop 1 Limitations
 	2.HDFS Federation
 	3.NameNode High Availability
 	4.Introduction to YARN
 	5.YARN Applications
 	6.YARN Architecture
 	7.Anatomy of an YARN application

Session 17 – Project Discussion

 	1.Java to MapReduce Conversion
 	2.MapReduce Project

Session 18 – Project Discussion

 	1.Hive Project
 	2.Pig Project


Course Highlights: 

	 Hands on Assignments from each session 
	 Instructor led learning sessions 
	 Interactive sessions & Hands on Practice 
	 Lifetime access to Knowledge Base
	 Interview and Job perspectives



    

Big Data Hadoop Interview Questions

Big Data Hadoop Interview Questions