Hadoop Online Training

Zenith Trainings' Hadoop Training provides you with proficiency in all the steps required to operate and sustain a Hadoop Cluster which includes Planning, Installation, and Configuration through load balancing, Security, and Tuning.

Zenith’s Training will provide hands-on preparation for the real-world challenges faced by Hadoop Administrators.

Introduction to Big Data & Hadoop
  • Importance of Data & Data Analysis
  • What is Big Data?
  • Big Data & its hype
  • Big Data Users & Scenarios
  • Structured vs Unstructured Data
  • Challenges of Big Data
  • How to overcome the challenges?
  • Divide & Conquer philosophy
  • Overview of Hadoop
Hadoop and its file system – HDFS
  • History of Hadoop
  • Hadoop Ecosystem
  • Hadoop Animal Planet
  • What is Hadoop?
  • Key Distinctions of Hadoop
  • Hadoop Components
  • HDFS
  • MapReduce
  • Why Distributed File System?
  • The Design of HDFS
  • Hadoop Distributed File System
  • What is an HDFS block?
  • Why HDFS block is so large in HDFS?
  • NameNode
  • DataNode
  • Secondary NameNode
  • A file in HDFS
  • Hadoop Components/Architecture
  • NameNode, JobTracker, DataNode, TaskTracker & Secondary Namenode
  • Understanding Storage components(NameNode, DataNode & Secondary Namenode)
  • Understanding Processing components(JobTracker & TaskTracker)
  • How Secondary Namenode overcomes the failure of the primary Namenode
  • Anatomy of a File Read
  • Anatomy of a File Write
Understanding Hadoop Cluster
  • Walkthrough of CDH VM setup
  • Hadoop Cluster modes
  • Standalone Mode
  • Pseudo-Distributed Mode
  • Distributed Mode
  • Hadoop Configuration files
  • core-site.xml
  • mapred-site.xml
  • hdfs-site.xml
  • yarn-site.xml
  • Understanding Cluster configuration
MapReduce
  • Meet MapReduce
  • WordCount algorithm – Traditional approach
  • Traditional approach to a Distributed system& its drawbacks
  • MapReduce approach
  • Input & Output Forms of an MR program
  • Hadoop Datatypes
  • Map, Shuffle & Sort, Reduce Phases
  • Workflow & Transformation of Data
  • Word Count Code walkthrough
  • Input Split & HDFS Block
  • The relation between Split & Block
  • MR Flow with Single Reduce Task
  • MR flow with multiple Reducers
  • Data locality Optimization
  • Speculative Execution
  • Combiner
  • Partitioner
Advanced MapReduce
  • Counters
  • InputFormat & its hierarchy
  • OutputFormat & its hierarchy
  • Using Compression techniques
  • Side Data Distribution – Distributed Cache
  • Joins
  • Map side join using Distributed Cache
  • Reduce side Join
  • Secondary Sorting
  • MR Unit – An Unit testing framework
Pig
  • What is Pig?
  • Why Pig?
  • Pig vs SQL
  • Execution Types or Modes
  • Running Pig
  • Pig Datatypes
  • Pig Latin relational Operators
  • Multi-Query execution
  • Pig Latin Diagnostic Operators
  • Pig Latin Macro & UDF statements
  • Pig Latin Commands
  • Pig Latin Expressions
  • Schemas
  • Pig Functions
  • Pig Latin File Loaders
  • Pig UDF & executing a Pig UDF
  • Pig Use cases
Hive
  • Introduction to Hive
  • Pig vs. Hive
  • Hive Limitations & Possibilities
  • Hive Architecture
  • Metastore
  • Hive Data Organization
  • Hive QL
  • SQL vs. Hive QL
  • Hive Datatypes
  • Data Storage
  • Managed & External Tables
  • Partitions & Buckets
  • Static Partitioning & Dynamic Partitioning
  • Storage Formats
  • File Formats – Sequence File & RC File
  • Using Compression in Hive
  • Built-in Serdes
  • Importing Data (Using Load Data & Insert Into)
  • Alter & Drop Commands
  • Data Querying
  • Using MR Scripts
  • Hive Joins
  • Sub Queries
  • Views
HBase
  • Introduction to NoSQL & HBase
  • HBase vs. RDBMS
  • HBase Use cases
  • Row & Column-oriented storage
  • Characteristics of a huge DB
  • What is HBase?
  • HBase Data-Model
  • HBase logical model & physical storage
  • HBase architecture
  • HBase in operation (put, get, scan & delete)
  • Loading Data into HBase
  • HBase shell commands
  • HBase operations through Java
  • HBase operations through MR
ZooKeeper & Oozie
  • Introduction to Zookeeper
  • Distributed Coordination
  • Zookeeper Data Model
  • Zookeeper Service
  • Introduction to Zookeeper
  • Distributed Coordination
  • Zookeeper Data Model
  • Zookeeper Service
Sqoop
  • Introduction to Sqoop
  • Sqoop design
  • Sqoop basic Commands
  • Sqoop Table Import flow of execution
  • Sqoop Import Commands – to HDFS, Hive & HBase tables
  • Sqoop Incremental Import
  • Incremental Append
  • Incremental Last Modified
  • Sqoop export flow of execution
  • Sqoop Export Command
Flume
  • Flume Architecture
  • Flume Components
  • Streaming live Twitter data with Flume
Hadoop 2.0 & YARN
  • Hadoop 1 Limitations
  • HDFS Federation
  • NameNode High Availability
  • Introduction to YARN
  • YARN Applications
  • YARN Architecture
  • Anatomy of an YARN application
MongoDB Spark Overview
  • What is Spark?
  • Why Spark?
  • Spark & Big Data
  • Spark Components
  • Resilient Distributed Data sets
  • Data Operations on RDD
  • Spark Libraries
JAVA  – To the extent required for MAP Reduce Highlights of the Course:
  • Teaching is oriented towards -
  • Practical oriented & Hands-on
  • clear understanding of basics
  • what to expect as an interview question while topic contemplation
  • Complete Access to a variety of latest interview questions and answers
  • Work on real-time projects
  • Certification guidance and Material
  • Assistance in Resume preparation
  • Interviews guidance
  • Corporate level Training
  • Finally, this training gives you all that are needed to secure a wanted job & keeps you get going in your job!

Q. Why Should I Learn Hadoop From Zenith Trainings?

It is a known fact that the demand for Hadoop professionals far outstrips the supply. So if you want to learn and make a career in Hadoop then you need to enroll for the Zenith Trainings Hadoop course which is the most recognized name in Hadoop training and certification. Zenith Trainings Hadoop training includes all the major components of Big Data and Hadoop like Apache Spark, MapReduce, HBase, HDFS, Pig, Sqoop, Flume, Oozie, and more. The entire Zenith Trainings Hadoop training has been created by industry professionals. You will get 24/7 lifetime support, high quality course material and videos, free upgrade to latest version of course material. Thus, it is clearly a one-time investment for a lifetime of benefits.

Q. Does Zenith Trainings Offer Job Assistance?

Zenith Trainings actively provides placement assistance to all learners who have successfully completed the training. For this we are exclusively tied-up with over 70 top MNCs from around the world. This way you can be placed in outstanding organizations like Sony, Ericsson, TCS, Standard Chartered, Cognizant, Cisco, among other equally great enterprises. We also help you with the job interview and resume preparation part as well.

Amitav Tripathy

I found Zenith Trainings to be one of the best online learning platform for latest technologies. Trainers have very sound knowledge and always ready to help. I completed Hadoop certification course and my learning experience has been great. I highly recommend Zenith Trainings to every learner who is interested in hadoop.

Naman Patni

I wanted to learn Haddop since it had a huge scope. My career changed positively upon completion of Zenith Trainings Hadoop Online Training. Go with Zenith Trainings for a Bright Career !!! Thanks.

 

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Offer :
Get Self-Paced Videos Free With This Course!

Self-Paced ($300)

  • Lifetime access with high-quality content and class videos
  • 40 hours of course presentations by hands-on experts
  • 26 hours of lab time
  • 24×7 online support

Live Online Training ($300)

Mon -Fri (6 Weeks)——————————————————
Mon -Fri (6 Weeks)

Project Support ($500)

  • Daily 2 hours session
  • 6 Days support per week