Big Data is the new Buzz work associating the new patterns of information investigation. Information the executives has moved its concentration from a significant competency to a basic differentiator that can decide market champs. So to run alongside the most recent patterns look at this course to comprehend the nuts and bolts of Big Data. Big Data alludes to advancements and activities that include information that is excessively different, quick changing, or gigantic for traditional innovations, abilities, and foundation to address proficiently. Said in an unexpected way, the volume, speed, or assortment of information is excessively extraordinary.

Syllabus

Beginners

• Unit-1 Big Data
  • What is Big Data and necessity of Big Data in the industry
  • Big Data and its Necessity
  • Importance of Big Data
  • Benefits of massive Data Analytics
  • Technology of Big Data Analytics
  • Artificial Learning
  • Developing Statistics
  • Consumer
  • Manufacturing
  • Obtaining Asset Performance and Efficiency Gains
  • Improving Production Processes and provide Chains
  • Making Product Customization Feasible
  • Manufacturing’s Big Data Toolkit
  • Big Data Analytics Tools
• Unit 2-Paradigm Shift
  • Why the industry is shifting to Big Data tools
  • Reasons why Companies are moving to Big Data
  • Exceptional Technologies of Massive Data-Big Data

Intermediate

• Unit-3 Different Dimensions of Big Data
  • Dimensions of Big Data
  • V’s of Massive Data- Volume
  • V’s of Massive Data- Variety
  • V’s of Massive Data- Veracity
  • V’s of Massive Data- Value
  • V’s of Massive Data- Velocity
• Unit-4 Future of Big Data In IT Industry
  • Upcoming Changes
  • Strong Data Governance Strategy
  • Dark Data
  • Top 5 Big Data Challenges
• Unit-5 Introductions to Hadoop Framework
  • Apache Hadoop
  • Domains of massive Data
  • History of Hadoop
  • Apache Hadoop
  • Hadoop Cluster
• Unit-6 Components of Hadoop Eco System
  • Components of Hadoop Ecosystem
  • MapReduce Programs
  • Features of MapReduce
  • Main parts of Hive
  • Features of Apache Pig
  • Components of H-base
  • Benefits of H-Catalog
  • Features of Apache Drill
  • Features of Apache Sqoop
  • Features of Ambari
  • Features of Zookeeper

ADVANCED

• Unit-7 Hadoop Flavors
  • 3-BIG PLAYERS
  • Big Players Advantages & Disadvantages
  • Big Players Similarities
  • Cloudera Distribution for Hadoop (CDH)
  • Features of Cloud era Distribution for Hadoop (CDH)
  • About MapR
  • Features of MapR
  • Hortonworks Data Platform (HDP)
• Unit-8 Setup and Installation of Single Node Hadoop Cluster
  • Distributed parallel Computing
  • Importance of Hadoop
  • NameNode & DataNodes
  • Component of Hadoop
  • Hadoop Yarn Architecture
  • Advantages of Hadoop
  • Hadoop Deployment Methods
  • Hadoop Installation
• Unit-9 Installation and Configuration of Hadoop
  • Master/Slave Architecture
  • HDFS (Hadoop distributed filing system )
  • Steps to configure files
  • Hadoop infrastructure
  • Steps for verify the Hadoop installation
• Unit-10 Working with Hadoop in Pseudo-Distributed Mode
  • Distributed Mode of Hadoop
  • Steps for Hadoop installation

PROFESSIONAL

• Unit-11 Setup and Installation of Hadoop Multi Node Cluster
  • Setup & Installation
  • Stages of JAVA
  • Designing Hadoop
  • Designing Hadoop on Master Server
  • New hub Configuration
  • Set Hostname of New Node
• Unit-12 Hadoop environment setup on the cloud (Amazon cloud)
  • Ways of Installed Hadoop
  • Steps to Install Hadoop
  • Start NameNode & DataNode
  • Start ResourceManager & NodeManager
• Unit-13 HDFS and Hadoop HDFS Characteristics Design Principles
  • HDFS Architecture
  • Goals of HDFS
  • Core Components of Hadoop
  • Features of Hadoop
• Unit-14 Responsibility of HDFS Master Name Node
  • NameNode & DataNode
  • Data Replication
  • Persistence of filing system
  • NameNode Keeps
  • Data Integrity
  • Metadata Disk Failure
  • NameNode Machine & its Different Machine
  • Staging
  • Replication Pipelining
• Unit-15 Work of HDFS Slaves Data Nodes
  • Add a New DataNode
  • Steps for Add Data Note
  • Add New DataNodes
• Unit-16 Data Blocks and Distributed Storage and Different HDFS APIs Terminologies
  • Apache Hadoop & Apache Hive
  • Apache Oozie
  • Apache Tez & Apache Zookeeper
  • Hadoop glossary & Apache Flume
  • Apache Hbase, Hcatalog & Hadoop
  • HDFS, HUE & Apache Mahout
  • Map Reduce
  • YARN