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Course Contents Oracle Apps Advanced Pricing
Oracle Apps ASCP Functional
Oracle Apps SCM Functional
DOT NET | MVC
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MSBI
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Informatica (9.1)
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EMC SAN
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HADOOP
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Tableau
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QlikView
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Trainer's Profile :
Professionally qualified with more than 12 Years of experience and an extensive BigData experience leading diversified teams spread across different geographical locations.
Training Approach :
  • Deep explanation of concept to lay strong foundation
  • Application of concept to a close real time environment with examples of real time use cases
  • Explanation of all the possible certifications and interview questions
Big Data and Hadoop training course content
Big Data & Hadoop
  • What is Big Data
  • Sources of Big Data
  • IBM Definition for Big Data
  • Definition of Hadoop
  • History of Hadoop
  • Features of Hadoop
  • Hadoop Eco-System
  • Other Hadoop related products of Apache
Hadoop Distributed File System
  • Distributed File System
  • Definition of HDFS
  • Where not to use HDFS
  • HDFS Concepts
  • Hadoop Architecture
  • NameNode, DataNode & SNN
  • HDFS Federation
  • HDFS High Availability
  • Hadoop IO Operations(Read & Write)
  • HDFS Rack Awareness
  • Hadoop Modes
  • Hadoop Configuration
  • Linux & Hadoop Commands
Big Data & Hadoop
  • What is Big Data
  • Sources of Big Data
  • IBM Definition for Big Data
  • Definition of Hadoop
  • History of Hadoop
  • Features of Hadoop
  • Hadoop Eco-System
  • Other Hadoop related products of Apache
Java
  • OOP and Java
  • Object Oriented Concepts
  • Language Fundamentals
  • Inheritance
  • Polymorphism
  • Interface
  • Collections
  • Exceptions
  • Multi Threadings
MapReduce
  • What is MapReduce & Key Value Concepts
  • Traditional Solution
  • MapReduce Solution
  • Input & Output of M/R
  • MapReduce Phases
  • Anatomy of MapReduce
  • WordCount FlowChart
  • Advantages of MapReduce
  • Input Split in M/R
  • Box Classes in Hadoop
  • Execution of WordCount Program
  • Combiner
  • Partitioner
  • MapReduce Joins
  • Distributed Cache
  • Counters
  • MapReduce Formats(Input & Output)
YARN
  • Challenges in Hadoop 1.x
  • Hadoop 2.x Features
  • Apache YARN
  • Hadoop 2.x Eco-system
  • Hadoop 2.x High Availability
  • Anatomy of YARN Application Run
  • Run a MapReduce application on YARN
Hive
  • Applications of Hive
  • Advantages & Disadvantages of Hive
  • Hive Installation & Invoking
  • Hive Metastore
  • Hive Architecture
  • Hive Concepts
  • Hive Data Types
  • Demonstration of DataBase Commands
  • Hive Tables
  • Demonstration of Create, rename, alter & Drop
  • Partitions in Hive
  • Bucketing in Hive
  • Hive Joins
  • Complex Data Types
  • Demonstration of External Table
  • SubQueries
  • Views
  • User Defined Functions (UDFs)
PIG
  • Need for PIG
  • PIG versus MapReduce
  • Where to use PIG
  • Where NOT to use PIG
  • What is PIG
  • Applications of PIG
  • PIG Installation
  • Execution Types
  • Running PIG programs
  • PIG data types
  • RDBMS Vs Pig
  • Comments in Pig
  • Case Sensitivity in Pig
  • Logical and Physical Plan
  • Pig Operators
  • Pig Built in Functions
  • Diagnostic Operators in PIG
  • Special Joins in PIG:
  • Parameter Substitution in PIG
  • PIG UDFs
  • Pig Best Practices
HBASE
  • What is HBASE & NOSql
  • History
  • Installation
  • Invoke HBase
  • HBASE Vs RDBMS
  • Uses of HBase
  • Where Not to Use HBase
  • HBase Write Path
  • HBase Read Path
  • HBase Terminology
  • Row Vs Column Oriented DB
  • HBase Architecture
  • Data loading Techniques in HBase
  • HBase Shell Commands
  • Demonstration of HBase shell Commands
Sqoop
  • Introduction and Installation
  • Sqoop Tools
  • Sqoop Connectors
  • Creating a DB and table in MySql
  • Loading the MySql DB
  • Sqoop Import Process
  • Import Hive Data
  • Sqoop Export Process
Flume
  • Introduction
  • Applications of Flume
  • Advantages of Flume
  • Features of Flume
  • Data Transfer in Hadoop
  • Apache Flume - Architecture
  • Components of Flume
  • Installation of Flume
  • Fetching Data using Flume
Spark
  • MapRedue Vs Spark
  • Apache Spark - By Definition
  • Features of Spark
  • Spark Deployment
  • Spark Core & Components
  • Spark Context & Invoking
  • Prerequisites for Spark
  • Resilient Distributed Datasets (RDDs)
  • RDD Operations
  • RDD Persistence
  • Lazy Evaluation & Lineage Graph
  • Spark SQL
  • Spark SQL Capabilities
  • SchemaRDD, DataFrame & Datasets
  • Linking with SparkSQL
  • Initializing Spark SQL
  • SQL Method
  • Creating a DataFrame
  • Transformations, Actions, Laziness
  • Spark Streaming
  • Input Sources and Batches of Input
  • Discretized Streams
  • Initializing StreamingContext
  • Transformation on DStreams
  • Output Operations on DStreams
  • Machine Learning
  • Spark MLlib
  • Sparks MLlib Packages
  • MLlib Data Types
  • Spark MLlib Algorithms
  • Spark GraphX
  • Graph - Getting Started
  • Graph Operators
  • Graph Builder
  • Graph Algorithms
Scala
  • Why Scala
  • Functional programming & First Scala Program
  • Data Types
  • Variable
  • Classes
  • Objects
  • Access Modifies
  • Operators, Conditional Statement
  • Functions
  • Closures
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