Certificate Program in Big Data
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Hands-on ToolsA virtual machine with Hadoop and other essential tools installed helps in gaining practical knowledge.
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Elaborate Course DesignThe course is designed by highly experienced professionals and subject matter experts.
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Detailed SyllabusThe comprehensive curriculum covers all the essential concepts in Big Data and Hadoop.
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Enhanced LearningContextualized examples, self-assessment quizzes and assignments in the course provide an in-depth understanding of the concepts.
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Expert HelpThe course includes webinars and doubt-clearing sessions held by the experts, for enhanced learning.






Introduction
Growth of Digital Data
Challenges of Data Processing
Introduction to Distributed Systems
Data Intensive Computations and Parallelism
History of Hadoop
Hadoop Overview
Ecosystem of Hadoop
HDFS and Map Reduce Paradigm
Job Processing Pipeline
Big Data Technology Landscape
Big Data Archival and Security
Use Cases
Features of Hadoop

Introduction to HDFS
Cluster View of HDFS
Data Storage in HDFS
Blocks and Splits
Metadata File
Name node demo
HDFS data storage demo
Reliability and Rack Awareness
High Availability
HDFS Federation
Data Replication - Demo
HDFS Client
HDFS Clients - Demo

Introduction
HDFS commands
Basic HDFS commands demo
Read anatomy in HDFS
Write anatomy in HDFS
Additional HDFS commands demo
HDFS permission management
HDFS permission management demo -Part 1
HDFS permission management demo -Part 2

Introduction
Traditional approach
Overview of map reduce (MR1)
System architecture of map reduce (MR1)
Introduction to YARN
Map-Reduce job execution in YARN (MR2/Hadoop 2.x)

Introduction
Job flow
Job submission
Job initialization
Job scheduling
Map task execution
Sort and shuffle
Reduce task execution
Job clean-up
Scheduler

Introduction
Map Reduce and PIG
Modes of execution in PIG
Pig client
Data types in PIG
Operators in PIG
Pig Usage
Loading data into PIG demo
Pig dialects
Transformations in PIG demo
Debugging in PIG demo
Other capabilities in PIG demo

Introduction
Hive vs RDBMS
Hive Architecture
Hive Components
Hive Schema Model
Hive Integration with Hadoop
Hive Query Language
Transformation in Hive
Hive Database Creation - Demo
Hive Tables - Demo
Hive Queries - Demo
Advanced Hive
Partitioning Demo
Bucketing Demo
Advanced Concepts Demo
Manage an XML or JSON files - Demo
Use a predefined SERDE - Demo
Summary

Apache Sqoop Introduction
Sqoop Usage
Working with Sqoop – Demo
Advanced Sqoop
Hive Integration – Demo
Hbase Integration – Demo
Sqoop scripts - Demo
Apache Sqoop Summary
Apache Oozie Introduction
Oozie Client
Basic Workflow Setup
Types of Oozie Actions
Control Statements
Defining a Workflow
Run MapReduce with Oozie - Demo
Apache Oozie Summary
Apache Hue Introduction
Hue User Interface
Working with Hive using Hue
Working with Pig using Hue
Monitoring an Oozie Job using Hue
Apache Hue - Demo
Apache Hue Summary

Introduction
Categories of NoSQL Databases
Hbase Evolution
Hbase vs RDBMS
Hbase Architecture
Hbase Components
Column Family
Hbase Fundamentals
Hbase Client
Basic CRUD Operation – Demo
Basic CRUD Operation
Zookeeper
Zookeeper – Demo
Summary

Serialization Introduction
Uses of Serialization
Serialization Techniques
Serialization Summary
Compression Introduction
Uses of Compression
Compression Techniques
Compression - Demo
Compression Summary

Scala Programming Language
Introduction to Scala
Scala Basic Data Types
Scala Collections
Scala Functions
Scala Classes and Objects
Spark
Introduction to Spark
Spark SQL
Spark Streaming

Introduction
Apache Flume Introduction
Flume Core Components
Flume Basic Configuration
Launch Flume
Apache Flume – Demo
Apache Spark and Storm Introduction
Storm Concepts
Spark Streaming Concepts
Deployment Architecture

Real-Time Deployment Introduction
System Architecture
Logical Deployment Overview
Physical Deployment Overview
Real time deployment summary
Big Data Software and Tools Introduction
Streaming Tools
NOSQL Tools
Administration Tools
Other Ecosystem Tools
Big data software and tools summary

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