Big Data Hadoop free videos and free material uploaded by SLA Consultants Gurgaon Training Institute staff .
Module 1 - Introduction to
Hadoop and Big Data
Big Data Overview
How to Process Big Data?
What is Hadoop?
Features and Elements of Hadoop
Uses of Hadoop
Hadoop Ecosystem
Data Analytics Structure
Rdbms Vs Hadoop
Installation and Configuration
Module 2 - Hadoop Distribution File System
Importance Of Hdfs
Hdfs Features
Daemons Of Hadoop
Name Node
Data Node
Secondary Name Node
Job Tracker
Task Tracker
Hadoop 2x Configuration Files
Data Storage In Hdfs
Accessing Hdfs
Fault Tolerance
Hdfs Federation
Module 3 - Map Reduce and Its
Features
Understand Hadoop Mapreduce
Framework
Working With Mapreduce In Hdfs
Concepts Of Input Splits, Combiner
And Partitioner And Demos In Mapreduce
Traditional Wav S Mapreduce Way
Why Mapreduce
Hadoop 2x Mapreduce Architecture
And Components
Yarn Workflow
How Mapreduce Works
Mapreduce Algorithms
Writing Mapreduce Program
3mapper And Reducer
Input And Output Format In
Mapreduce
Data Localization
Hadoop I/O
Module 4 - Pig
Understanding Pig
Pig Use Cases
Pig Vs Mapreduce
Pig Scripting And Running Modes
Programming Structure In Pig
Data Types In Pig
Execution Modes In Pig
Loading Data And Exploring Pig
Latin Commands
Module 5 - Hive
Learn About Hive Concepts
Data Types In Hive
Loading And Querying Data In Hive
Hive Scripts And Udf
Hive Vs Pig
Hive Architecture And Components
Partitions And Buckets
Hive Vs Rdbms
Module 6 - Hbase
Introduction To Hbase
Advanced Hive Concepts
Hbase Architecture And Design
Hbase Vs Rdbms
Read And Write Pipeline
Hbase Commands
Hbase Shell
Client Api And Data Loading
Techniques
Zoopkeeper Service
Module 7 - Data Integration
with Sqoop, Talend and Flume
Hadoop Integration
Introduction to Talend
Loading Data From Rdbms Into Hdfs
Using Sqoop and Talend
Managing Real Time Data Using
Flume
Other Important Data Analysis
Features with Hadoop Elements
Module 8 - Hadoop Project and Oozie
Solving Big Data Issues
Discussing Data Sets
Live Training Under Expert
Supervision
Module Wise Assignments
Big Data refers to the large set of data which is extremely complex in processing as compared to normal data using traditional data processing tools. It requires a great deal of effort and assistance in order to manage Big Data in an accurate manner. To perform operations such as storage, capture, data curation, Data Analysis, update, transfer, visualization and privacy, many tools are used but only few of them are capable enough to process big data such as Internet information, customer data, etc. For that Hadoop is utilized effectively which is considered as one of the most popular and highly useful technology that allows the management to process large set of data easily. Every organization comprises of a Big Data that needs to be stored, analysed and managed.
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