4 Weeks Only Big Data Hadoop Training Course in Auckland
Event Information
Event description
4 Weeks Only Big Data Hadoop Training for beginners is being delivered during November 23, 2020 - December 16, 2020 US Pacific Time.
About this Event
4 Weeks Only Big Data Hadoop Training course is Instructor-led and guided and is being delivered from November 23, 2020 - December 16, 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
4 Weeks Only Big Data Hadoop Training Course Schedule
- November 23, 2020 - December 16, 2020 US Pacific time
- 4 Weeks | 2 Hours on Mondays, 2 Hours on Wednesdays every week US Pacific time
- 5:30 PM - 7:30 PM 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 November 23, 2020 at 5:30 PM 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
