This event has been UPDATED since it was first published. View the UPDATED & Detailed Big Data and hadoop Training course for beginners Information here.

16 Hours Big Data Hadoop Training course is Instructor-led and guided and is being delivered from October 27, 2020 - November 19, 2020 for 16 Hours over 4 weeks, 8 sessions, 2 sessions per week, 2 hours per session.

• Instructor-led and guided training
• Practical Hands-On, Highly Interactive training
• This course will be taught in English language
• All Published Ticket Prices are in US Dollars

16 Hours Big Data Hadoop Training Course Schedule

• October 27, 2020 - November 19, 2020 US Pacific time
• 16 Hours | 2 Hours on Tuesdays, 2 Hours on Thursdays every week US Pacific time
• 8:30 AM - 10:30 AM US Pacific time each of those days
• Please click here to add your city name and check your local date and time for the first session to be held on October 27, 2020 at 8:30 AM US Pacific Time.

Features and Benefits

• 16 Hours, 8 sessions, 4 weeks of total Instructor-led and guided training
• Training material, instructor handouts and access to useful resources on the cloud provided
• Practical Hands-on Lab exercises provided
• Actual code and scripts provided
• Real-life Scenarios

Who can take this course ?

• Any IT Professionals who are looking for a career in Hadoop.
• Any IT Professionals who are interested to work on IT job related to Data Science, Bigdata, Hadoop, etc.

What are the Hadoop Training Course Objectives?

• Complete knowledge of all components in Hadoop like MapReduce, Sqoop, HBase, Hive, Pig, HDFS, Flume, ZooKeeper, Oozie, etc.
• Able to work on Hadoop related Project independently
• Setup/Install/Configure Hadoop in Dev/Support/Test environment
• Understand architecture of Hadoop and various operations performed on it
• Familiar with standard solutions

Course Outline

1. Introduction to Hadoop

• Hadoop Distributed File System
• Hadoop Architecture
• MapReduce & HDFS

2. Hadoop Eco Systems

• Introduction to Pig
• Introduction to Hive
• Introduction to HBase
• Other eco system Map

3. Hadoop Developer

• Moving the Data into Hadoop
• Moving The Data out from Hadoop
• Reading and Writing the files in HDFS using java program
• The Hadoop Java API for MapReduce
• Driver Class
• Writing Basic MapReduce Program In java
• Understanding the MapReduce Internal Components
• Hbase MapReduce Program
• Hive Overview
• Working with Hive
• Pig Overview
• Working with Pig
• Sqoop Overview
• Moving the Data from RDBMS to Hadoop
• Moving the Data from RDBMS to Hbase
• Moving the Data from RDBMS to Hive
• Flume Overview
• Moving The Data from Web server Into Hadoop
• Real Time Example in Hadoop
• Apache Log viewer Analysis
• Market Basket Algorithms
• Big Data Overview
• Introduction In Hadoop and Hadoop Related Eco System.
• Choosing Hardware For Hadoop Cluster nodes

4. Apache Hadoop Installation

• Standalone Mode
• Pseudo Distributed Mode
• Fully Distributed Mode

5. Installing Hadoop Eco System and Integrate With Hadoop

• Zookeeper Installation
• Hbase Installation
• Hive Installation
• Pig Installation
• Sqoop Installation
• Installing Mahout

6. Horton Works Installation

• Cloudera Installation
• Hadoop Commands usage
• Import the data in HDFS
• Sample Hadoop Examples (Word count program and Population problem)

7. Monitoring The Hadoop Cluster

• Monitoring Hadoop Cluster with Ganglia
• Monitoring Hadoop Cluster with Nagios
• Monitoring Hadoop Cluster with JMX
• Hadoop Configuration management Tool
• Hadoop Benchmarking