Hadoop Online Training

Course Duration : 25Hrs
Learners : 150
Reviews : 4.6

KITS Hadoop Online Training Course gives you the best knowledge on Big data Hadoop. This course imparts the hands-on experience of different frameworks like spark, oozie, splunk, zoo keeper by industry experts with live use cases.

Data plays a major role in the IT industry today. This Data has many uses in the IT world today. Today many companies were generating great revenues through this data. Hence knowledge of data analysis plays a major role in the IT industry. Today Hadoop platform has a high demand in the IT market. Kits online trainings provide the best knowledge on the Hadoop platform by live experts through online. Kits Hadoop online trainings course covers you the in-depth knowledge of data analysis with live uses.

 This Hadoop course gives you the best knowledge of various tools like oozie, spark, hive, pig, and so on with practical examples. This Hadoop training gives you hands-on experience of all these platforms and shows the way to clear the certification. Besides Hadoop course kits provides the best knowledge of many tools and technologies like big data, data science, tableau, r programming, and so on with live use cases and makes you master in all these platforms

MODULE – 1 BIG DATA, HADOOP, INTRODUCTION TO HADOOP ARCHITECTURE AND HDFS

Why did Big Data suddenly become so prominent?
Limitations of traditional large scale systems
Compare Hadoop architecture with traditional architecture
Core components of Hadoop
Understanding Hadoop Master-Slave Architecture
Understanding HDFS Architecture
Learn about NameNode, DataNode, Secondary Node
Learn about JobTracker, TaskTracker
Anatomy of Read and Write data on HDFS
Hadoop deployment Modes – Standalone, Single node, multinode
Configuration files in a Hadoop Cluster
Important Web URL’s for Hadoop
Run HDFS and Linux commands
Manuals for installation of Hadoop 1.0 & Hadoop2.0
Manual for Demo VM installation steps for Windows
MODULE -2 HADOOP 2.0, YARN, MRV2

Hadoo 1.0 Limitations MapReduceLimitations(Mrv1 vs Mrv2)
History of Hadoop 2.0
HDFS 2: Architecture
HDFS 2: HighAvailability
HDFS 2: Federation
YARN Architecture Classic vs YARN
Setting up cluster
MODULE – 3 UNDERSTANDING HADOOP MAPREDUCE

Overview of the MapReduce Framework
Use cases of MapReduce
MapReduce Architecture
Understand the concept of Mappers, Reducers
Anatomy of MapReduce Program
MapReduce Components – Mapper Class, Reducer Class, Driver code
Splits and Blocks Understand Combiner Understanding
Input/Output Format
MapReduce API and Hadoop Data Types
Using Writable and Writable comparable
Concept of Partitioner,Map Side Join,Distributed Join,Distributed Cache, Reduce Side Join.
MODULE-4 UNDERSTANDING Apache Sqoop

Sqoop – How Sqoop works·
Import/Export Data
Sqoop Architecture
Flume – How it works
MODULE- 5 UNDERSTANDING Apache Oozie

How Oozie works·
Oozie workflow·
Making workflow.xml, job.properties and running workflow
MODULE – 6 APACHE HIVE -HIVEQL what is Hive

Hive DDL – Create/Show/Drop Database
Hive DDL – Create/Show/Drop Tables· Hive DML – Load Files into Tables· Hive DML – Inserting Data into Tables
Hive SQL – Select, Filter, Join, Group By
Hive Architecture· & Components Hive Data Model and Data Units
Difference between Hive and RDBMS· Multi-Table Inserts
Joins
Grouping Sets, Cubes, Rollups
Hive SerDeHive UDF Hive UDAF
MODULE – 7 APACHE PIG

PIG vs. MapReduce
PIG components
PIG execution
PIG Data types
PIG Architecture
PIG Latin Relational Operators
PIG Latin Join and CoGroup
PIG Latin Group and Union
Describe, Explain, Illustrate
PIG Latin: File Loaders
MODULE -8 APACHE HBASE & NOSQL Databases

Introduction to NoSQL
RDBMS vs NoSQL
Analytical (OLAP)
When/Why to use HBase
HBase Architecture/Storage HBase Features
HBase Data Model HBase Families
HBase Master
HBase vs RDBMS
Column Families
Access HBase Data HBase API
Runtime modes
Running HBase
Why did Big Data suddenly become so prominent?
Limitations of traditional large scale systems
Compare Hadoop architecture with traditional architecture
Core components of Hadoop
Understanding Hadoop Master-Slave Architecture
Understanding HDFS Architecture
Learn about NameNode, DataNode, Secondary Node
Learn about JobTracker, TaskTracker
Anatomy of Read and Write data on HDFS
Hadoop deployment Modes – Standalone, Single node, multinode
Configuration files in a Hadoop Cluster
Important Web URL’s for Hadoop
Run HDFS and Linux commands
Manuals for installation of Hadoop 1.0 & Hadoop2.0
Manual for Demo VM installation steps for Windows
Hadoo 1.0 Limitations MapReduceLimitations(Mrv1 vs Mrv2)
History of Hadoop 2.0
HDFS 2: Architecture
HDFS 2: HighAvailability
HDFS 2: Federation
YARN Architecture Classic vs YARN
Setting up cluster
Hadoo 1.0 Limitations MapReduceLimitations(Mrv1 vs Mrv2)
History of Hadoop 2.0
HDFS 2: Architecture
HDFS 2: HighAvailability
HDFS 2: Federation
YARN Architecture Classic vs YARN
Setting up cluster
Overview of the MapReduce Framework
Use cases of MapReduce
MapReduce Architecture
Understand the concept of Mappers, Reducers
Anatomy of MapReduce Program
MapReduce Components – Mapper Class, Reducer Class, Driver code
Splits and Blocks Understand Combiner Understanding
Input/Output Format
MapReduce API and Hadoop Data Types
Using Writable and Writable comparable
Concept of Partitioner,Map Side Join,Distributed Join,Distributed Cache, Reduce Side Join.
Sqoop – How Sqoop works·
Import/Export Data
Sqoop Architecture
Flume – How it works
How Oozie works·
Oozie workflow·
Making workflow.xml, job.properties and running workflow
Hive DDL – Create/Show/Drop Database
Hive DDL – Create/Show/Drop Tables· Hive DML – Load Files into Tables· Hive DML – Inserting Data into Tables
Hive SQL – Select, Filter, Join, Group By
Hive Architecture· & Components Hive Data Model and Data Units
Difference between Hive and RDBMS· Multi-Table Inserts
Joins
Grouping Sets, Cubes, Rollups
Hive SerDeHive UDF Hive UDAF
PIG vs. MapReduce
PIG components
PIG execution
PIG Data types
PIG Architecture
PIG Latin Relational Operators
PIG Latin Join and CoGroup
PIG Latin Group and Union
Describe, Explain, Illustrate
PIG Latin: File Loaders
Introduction to NoSQL
RDBMS vs NoSQL
Analytical (OLAP)
When/Why to use HBase
HBase Architecture/Storage HBase Features
HBase Data Model HBase Families
HBase Master
HBase vs RDBMS
Column Families
Access HBase Data HBase API
Runtime modes
Running HBase

Self-Paced

  • Learn at your convenient time and place
  • Grab the practical exposure of the course through high-quality videos
  • Learn from basic to advanced level of the course led by real-time instructors

Online

  • Get a live demonstration of every topic by our experienced faculty
  • Get LMS Access of every session after the completion of the course
  • Gain the stuff to get certified

Corporate

  • Can enroll for Self paced, Live (or) the class mode of training
  • Engage in online training lecture by an industry expert at your facility
  • Learn as a full day schedule with discussions, exercises, and practical use cases
  • Design your own syllabus based on the project requirements
The trainer is a real-time expert and has a significant amount of technology
Irrespective of your class attendance, every session will be recorded. Soon after the completion of the class, you can able to access the videos
During the course, the trainer will provide the environment to execute the practical's.
Once you contact us, our support team will offer you great discounts.
Yes! we do accept the fee in installments, depending on the mode of training you take.
We offer the best training on different modes like self-paced, one-one, batch as well as corporate training.
Yes! Our support team will take your resumes and forward to the firms for placement assistance
During the course, the trainer will provide the probable certification question to make you certified.
29 October
19:00 PM
14 November
06:30 AM
16 November
06:30 AM
24 November
21:30 PM

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100% Online Course

Flexible Schedule

Beginner Level To Advance Level

Real-Time Scenarios With Projects

LMS Access

Interview Questions & Resume Guidelines Access