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    Big Data Hadoop Developer

    Course Content

    Total learning: 73 lessons Time: 10 weeks

    • Introduction to Big Data & Hadoop   0/13

      • Lecture1.1
        Data Explosion
      • Lecture1.2
        What is Big Data?
      • Lecture1.3
        Types of Data
      • Lecture1.4
        Need for Big Data
      • Lecture1.5
        Characteristics of Big Data
      • Lecture1.6
        Big Data – Capabilities
      • Lecture1.7
        Big Data—Use Cases
      • Lecture1.8
        Traditional Data Warehouse – Definition
      • Lecture1.9
        Traditional Data Warehouse – Limitations
      • Lecture1.10
        Introduction to Hadoop
      • Lecture1.11
        Hadoop Key Characteristics
      • Lecture1.12
        History and Milestones of Hadoop
      • Lecture1.13
        Hadoop Ecosystem

    • Hadoop Architecture   0/5

      • Lecture2.1
        Hadoop Key Terms
      • Lecture2.2
        Hadoop Cluster in commodity hardware
      • Lecture2.3
        Hadoop Configuration
      • Lecture2.4
        Hadoop Core Components & Core Services
      • Lecture2.5
        Hadoop Server Roles

    • Hadoop cluster  0/8

      • Lecture3.1
        Planning Hadoop cluster
      • Lecture3.2
        Installation & configuration: Oracle VirtualBox — Introduction
      • Lecture3.3
        Installing Oracle VirtualBox
      • Lecture3.4
        Setting up the Virtual Environment
      • Lecture3.5
        Open a VM
      • Lecture3.6
        Hadoop Installation
      • Lecture3.7
        Single Node Configuration
      • Lecture3.8
        Multi-node Cluster setup

    • HDFS  0/9

      • Lecture4.1
        HDFS Features
      • Lecture4.2
        Difference – Regular File System & HDFS
      • Lecture4.3
        HDFS Architecture
      • Lecture4.4
        HDFS Operation Principle
      • Lecture4.5
        Namenode Operation
      • Lecture4.6
        Data Blocks & Replication Architecture
      • Lecture4.7
        Datanode Failure & Recovery
      • Lecture4.8
        Writing File to HDFS
      • Lecture4.9
        Reading File from HDFS

    • Mapreduce  0/6

      • Lecture5.1
        Introduction to MapReduce & Components
      • Lecture5.2
        JobTracker TaskTracker
      • Lecture5.3
        MapReduce Framework
      • Lecture5.4
        Mapper & Reducer
      • Lecture5.5
        Combiner & Partitioner
      • Lecture5.6
        Shuffle & Sort

    • Overview of Mapreduce & Yarn  0/8

      • Lecture6.1
        Setting up your MapReduce Environment
      • Lecture6.2
        Building a MapReduce Application
      • Lecture6.3
        Counters & Joins
      • Lecture6.4
        Hadoop Data Types
      • Lecture6.5
        Serialization & Writable Interface
      • Lecture6.6
        Input Formats in MapReduce
      • Lecture6.7
        Output Formats in MapReduce
      • Lecture6.8
        YARN

    • PIG  0/5

      • Lecture7.1
        Introduction to PIG
      • Lecture7.2
        Pig Installation
      • Lecture7.3
        Data Loading
      • Lecture7.4
        Data Transformation
      • Lecture7.5
        PIG – Syntax & Hands On

    • Hive  0/7

      • Lecture8.1
        What is HIVE
      • Lecture8.2
        Characteristics of Hive
      • Lecture8.3
        System Architecture and Components of Hive
      • Lecture8.4
        Hive Data Models
      • Lecture8.5
        Hive Query Language
      • Lecture8.6
        Hive Installing, running, and programming
      • Lecture8.7
        Hive – Syntax & Hands On

    • Hbase  0/6

      • Lecture9.1
        HBase introduction
      • Lecture9.2
        Characteristics of HBase
      • Lecture9.3
        HBase Architecture
      • Lecture9.4
        HBase Storage Model
      • Lecture9.5
        HBase Data Model
      • Lecture9.6
        Installation of HBase HBase – Syntax & Hands On

    • Sqoop & Flume  0/3

      • Lecture10.1
        Introduction to Sqoop & Flume
      • Lecture10.2
        Importing & Exporting Data
      • Lecture10.3
        Sqoop &– Syntax & Hands On

    • Apache Spark  0/3

      • Lecture11.1
        Introduction to Apache Spark
      • Lecture11.2
        Spark Architecture & Internals concepts
      • Lecture11.3
        Using Spark for Analytics
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