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4 Weekends Big Data Hadoop Training for beginners is being delivered during January 30, 2021 - February 21, 2021 US Pacific Time.About this Event
This event has been UPDATED since it was first published. View the UPDATED & Detailed Big Data and hadoop Training course for beginners Information here.
4 Weekends Big Data Hadoop Training for beginners is a 4 weekends long Instructor-led and guided training with Practical Hands-On Lab exercises to be taught over 16 hours, 2 sessions per weekend, 2 hours per session.
- This course is meant for beginners who would like to learn everything about big data and Hadoop.
- The medium of instruction is English,
- All Published Ticket Prices are in US Dollars.
4 Weekends Big Data Hadoop Training Course Schedule
- January 30, 2021 - February 21, 2021 US Pacific time
- 4 Weekends | 2 hours on Saturdays, 2 hours on Sundays every weekend US Pacific time
- 7:30 AM - 9:30 AM US Pacific time each of those days
- Please click here to add your location and check your local date and time for first session to be held on January 30, 2021, 2020 at 7:30 AM US Pacific Time.
Features and Benefits
- 4 weekends, 8 sessions, 16 hours 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
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Event Venue & Nearby Stays
IT Training Center, Tech Training Solutions, Coventry, United Kingdom
Tickets
USD 400.00 to USD 500.00