Hadoop Online Training

Hadoop Online Training

Hadoop Online Training
Hadoop Online Training

Hadoop Online Training Course Content :

Hadoop Architecture

  • What is Big Data
  • Hadoop Architecture
  • Hadoop ecosystem components
  • Hadoop Storage: HDFS
  • Hadoop Processing: MapReduce Framework
  • Hadoop Server Roles: NameNode, Secondary Name Node and DataNode,
  • Anatomy of File Write and Read.

Hadoop Cluster Configuration and Data Loading

  • Hadoop Cluster Architecture
  • Hadoop Cluster Configuration files
  • Hadoop Cluster Modes
  • Multi-Node Hadoop Cluster
  • A Typical Production Hadoop Cluster
  • MapReduce Job execution
  • Common Hadoop Shell commands
  • Data Loading Techniques: FLUME, SQOOP, Hadoop Copy Commands

Hadoop MapReduce framework

  • Hadoop Data Types
  • Hadoop MapReduce paradigm
  • Map and Reduce tasks
  • MapReduce Execution Framework
  • Partitioners and Combiners
  • Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)
  • Output Formats (TextOutput, BinaryOutPut, Multiple Output)

Advance MapReduce

  • Counters
  • Custom Writables
  • Unit Testing: JUnit and MRUnit testing framework
  • Error Handling
  • Tuning
  • Advance MapReduce

Pig and Pig Latin

  • Installing and Running Pig
  • Grunt
  • Pig’s Data Model
  • Pig Latin
  • Developing & Testing Pig Latin Scripts
  • Writing Evaluation
  • Filter
  • Load & Store Functions

Hive and HiveQL

  • Hive Architecture and Installation
  • Comparison with Traditional Database
  • HiveQL: Data Types
  • Operators and Functions
  • Hive Tables (Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables)
  • Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query).

Advance Hive, NoSQL Databases and HBase

  • Hive: Data manipulation with Hive
  • User Defined Functions
  • Appending Data into existing Hive Table
  • Custom Map/Reduce in Hive
  • Hadoop Project: Hive Scripting
  • HBase: Introduction to HBase
  • Client API’s and their features
  • Available Client
  • HBase Architecture
  • MapReduce Integration.

Advance HBase and ZooKeeper

  • HBase: Advanced Usage
  • Schema Design
  • Advance Indexing
  • Coprocessors

Hadoop 2.0, MRv2 and YARN

  • Schedulers :Fair and Capacity
  • Hadoop 2.0 New Features: NameNode High Availability
  • HDFS Federation
  • MRv2
  • YARN
  • Running MRv1 in YARN
  • Upgrade your existing MRv1 code to MRv2
  • Programming in YARN framework.

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What my Client's Say?


  • Prabhu is an excellent instructor, very patient and thorough. I have tried another training class and EXPLORE IT far exceeds other trainers and their methods ~ Hassan Malik

  • An extremely helpful and informative course. Training materials were well organized and provided good case studies. Instructor was extremely professional and pleasant to learn from.~ Bhavani Sudarshnam

  • The training was clear and detailed. I like Parker's style of teaching as the recurrent training is a thorough review of the HR. Every opportunity for the student to ask questions was provided. ~ Yiting Chen

  • Jane Anderson conducted the class in a very professional manner. Examples were very relevant and I feel that I gained a lot from the updated materials this year.~ Somesh Taneja

  • Prem was a great instructor. Thanks Prem for making the training easy to understand. A lot of information was covered. He made the approach easy to follow.~ Komali Sambakula

  • She wants to make sure that her students walk away from her course with a good working knowledge. She is an excellent trainer and cares that all of her students learn the material.~ Kiran Jain

  • Krishna is very thorough and professional. He made the code very understandable. I was very impressed with his teaching methods and presentation of the regulations. EXPLORE IT is the best! ~ Rajesh Isukapalli

  • Mr. Chris Brown was very affirmative with the course, on time and fluent. This is my second recourse with him. I hope to take his course as long as I am shipping at my current job. ~ Awais Rahim