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Big Data Hadoop Training
Big Data Hadoop Online Training

What is Big Data Hadoop?

Hadoop is an open source framework that processes large data sets (Big Data), in a distributed storage environment. Hadoop platform can process/handle large volume of data (Big Data) in a small amount of time. APIs for MapReduce applications enables us to read, write and compute data in parallel.

Why Hadoop?

Hadoop Distributed File System (HDFS) was made to store the huge amount (hundreds of gigabytes) of data every second. This stored data is used to generate various analytics. Traditional databases cannot handle data of this size. The MapReduce helps to run different kinds of computation on this huge volume of data with ease.

Big Data Hadoop Training - Hadoop Online Training Details

1. Introduction to BIG DATA and HADOOP

What are Big data features and challenges
Problems with Traditional Large-Scale Systems
Horizontal and vertical scaling
Why Hadoop and Motivations for hadoop
Comparison between Hadoop and RDBMS
A brief history of Hadoop
Limitation of Hadoop

2. HADOOP ECOSYSTEM & CLUSTER

Available version Hadoop 1.x & 2
Available Distributions of Hadoop (Apache,Cloudera, Hortonworks, etc)
Architecture of Hadoop & Planning for cluster
Cluster Daemons & Its Functions:
a. Name Node
b. Secondary Node
c. Data Nodes
d. Job Tracker
e. Task Trackers
Hadoop Ecosystem components and uses

3. HDFS CONCEPTS

HDFS Design & Goals
Understand Blocks and Configuration of block size
Block replication, replication factor and failure handling
Understand Hadoop Rack Awareness and configure racks in Hadoop
File read and write anatomy in HDFS

4. YARN - YET ANOTHER RESOURCE NEGOTIATOR

YARN Architecture in Hadoop 2.x
Yarn Components
* Resource Manager * Node Manager * Job History Server * MR Application Master YARN Application execution flow
Running and Monitoring YARN Applications
Understand and Configure Capacity / Fair Schedulers in YARN

5. INSTALLATION & DEPLOYMENT OF HADOOP

Setting up Apache/cloudera Hadoop environment
Specifying the Hadoop Configuration
Performing Initial HDFS Configuration
Performing Initial YARN and Map-Reduce Configuration
Hadoop Logging & Cluster Monitoring

6. CLOUDERA SANDBOX OR QUICK START

Installation of cloudera quick start
Difference in sandbox and distributed environment
Overview of apache HUE

7. MAP-REDUCE, MAP-REDUCE STREAMING (IN JAVA)

All Map-Reduce API Concepts
Architecture of Map-Reduce
Writing Map-Reduce Drivers, Mappers, and Reducers in Java
Speeding Up Hadoop Development by Using Eclipse
Differences between the Old and New Map-Reduce APIs
Writing Mappers and Reducers with the Streaming API
Different question raised for Map-Reduce

8. HBASE: THE HADOOP DATABASE

Problems with RDBMS
Introduction to HBase
Non-RDBMS, Not-Only SQL or No-SQL
Installation HBase & Deployment
Types CRUD & Batch Operations
Filters, Counters, Pool
Rest Interface & Web-UI

9. HADOOP SHELL AND COMMANDS

Hadoop Developer commands using shell
Map-Reduce job deployment
Oozie workflow design
Different Components Jobs design.

10. HIVE

Problems with No-SQL Database
Introduction & Installation Hive
Hive Schema and Data Storage
Data Types & Introduction to SQL
Hive-SQL: DML & DDL
Hive-SQL: Views & Indexes
Explain and use the various Hive file formats
Use Hive to run SQL-like queries to perform data analysis
Use Hive to join data sets using a variety of techniques, including Mapside joins and Sort-Merge-Bucket joins
Integration to HBase & Cassandra
Sentiment Analysis and N-Grams
Hive Thrift Service

11. FLUME

Installation of Flume
Ingesting Data from External Sources with Flume
Configuration for flume
REST Interfaces
Best Practices for Importing Data

12. SQOOP

Installation of Sqoop
Ingesting Data from External (RDBMS) Sources with Sqoop
Ingesting Data from/to Relational Databases with Sqoop
Integration of Sqoop and Hbase
Integration of Sqoop and Hive
Best Practices for Importing Data

13. CONCLUSION & FAQS

  • sessions * Hue * Cloudera Manager * Zookeeper *Impala * Ooozie * Etc

    Prerequisite for the Hadoop Training

    This course is best suited to developers and engineers who have some programming knowledge. Knowledge of Java is not mandatory. Any programming language basic knowledge is good.

    Duration

    Approx 35 Hours

    Machine Configuration for Big Data Hadoop Training

    8GB RAM and i3+ processor

    The significant features of our Hadoop Training:

  • Hands-on example for every topic solved and shown
  • Covers indepth all the topics of Hadoop (as mentioned above)
  • Helps you become a certified Big Data Expert

  • Our Big Data Hadoop trainers are:

  • Technical Industry Experts.
  • Reference checked.
  • Excellent Teachers.

  • Demo of Big Data Hadoop Trainings

  • Demo on Hadoop Introduction
  • Demo on Apache Hadoop Standalone Installation using Virtualbox

  • Fees for online Big Data Hadoop Training

  • 10,000/- INR or 200 USD (Inclusive all Taxes).
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    • Testimonials

      Ishan KamalIndia - DeveloperGot some good impleamentation knowledge on Hadoop.

      Bhushan I ChopdeIndia - FresherI am happy with the Big Data Hadoop training and the training materials. Glad to find ITJobZone.

      Mohammad SultanUSA - DeveloperI really enjoyed ITJobZones Hadoop course which was very informative. Trainer was a great instructor, he is very knowledgeable. I am very satisfied with this course.

      Debashish MallaUSA - ConsultantThank you for convening a Hadoop training in short notice and providing an excellent training. It was great learning experience. Trainer had very good communication skill, Subject matter expertise and patience. He performed an excellent job in presenting different scenarios and made the training interactive. I commend his work.

      Mohit RUSA - DeveloperI am glad that I found ITJobZone. Its been quick and effective training process.

      AnonymusIndia - InfosysOverall the training was very helpful. Exercises given and conducted by trainer were very also very helpful.

      AnonymusIndia - InfosysConfiguration and exercises for each module was covered. Training was Good overall.

      AnonymusIndia - InfosysTraining was very professional and overall very good. Training covered installation, components, Terminology, workflow, API implementations and much more

      Manjiri IIndia - Equifax(HR)Big Data Hadoop Training sessions were very good. I have received a positive feedback from all.

      KumarIndia - Equifax (Manager)The Training was conducted in a very professional manner and my team is very happy with the training.