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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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