big data hadoop

 Big Data with Hadoop

Section 1: Introduction

  1. What is Big Data
  2. What is Hadoop
  3. Distributed System and Hadoop
  4. RDBMS and Hadoop

Section 2: Starting Hadoop

  1. Single node Hadoop Cluster
  2. Configuring Hadoop
  3. Hadoop Architecture
  4. Hadoop Components
  5. Name and Data Nodes
  6. Command Line Interface
  7. Running Hadoop
  8. Web-based cluster UI-Name Node UI, Map Reduce UI
  9. Hands-On Exercise: Using HDFS commands

Section 3: UNDERSTANDING MAPREDUCE

  1. How Map Reduce Works
  2. Data flow in Map Reduce
  3. Map operation
  4. Reduce operation
  5. Map Reduce Program In JAVA using Eclipse
  6. Counting words with Hadoop—Running your first program
  7. Writing Map Reduce Drivers, Mappers and Reducers in Java
  8. Real-world “Map Reduce” problems
  9. Hands-On Exercise: Writing a Map Reduce Program and Running a Map Reduce Job
  10. Java Word Count Code Walkthrough

Section 4: Hadoop Ecosystem

  1. Hive
  2. Sqoop
  3. Pig
  4. Hbase
  5. Section Quiz

Section 5: Hive

  1. Installation of Hive
  2. Introduction to Apache Hive
  3. Getting data into Hive
  4. Hive’s Architecture
  5. Hive-HQL
  6. Query Execution

Section 6: Sqoop

  1. Installing and Configure Sqoop
  2. Import RDBMS data to Hive using Sqoop
  3. Export from to Hive to RDBMS using Sqoop

Section 7: Pig

  1. Introduction and Installation of Pig
  2. Pig Architecture
  3. Pig Latin – Reading and writing data using Pig

Section 8: HBase

  1. Installation
  2. Architecture of Hbase
  3. Managing large data sets with HBase

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Course Detail
Fees
35,000

 

Duration
70 Hours

 

Tools
SAS

 

Learning Mode
Live Training

 

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