Key Features
Hadoop Course Content
- Course Overview
- Introducing Hadoop
- Installing Hadoop
- Storing Data with HDFS
- Processing Data with MapReduce
- Scheduling and Managing Tasks with YARN
- Course Overview
- Hive vs. RDBMS
- Getting Started with Basic Queries in Hive
- Creating Databases and Tables
- Using Complex Data Types and Table Generating Functions
- Understanding Constraints in Subqueries and Views
- Designing Schema for Hive
- Course Overview
- Why do we need Flume and Sqoop?
- Installing Flume
- Flume Agent and Flume Events
- Installing Sqoop
- Sqoop imports
- A Brief Overview Of Oozie
- Oozie Install And Set Up
- Workflows: A Directed Acyclic Graph Of Tasks
- Coordinators: Managing Workflows
- Bundles: A Collection Of Coordinators For Data Pipelines
- Course Overview
- Introducing Pig
- Using the GRUNT Shell
- Loading Data into Relations
- Working with Basic Data Transformations
- Working with Advanced Data Transformations
Projects
- To test your knowledge on Hadoop Training, you will be required to work on two industry-based projects that discuss significant real-time use cases. This will also ensure hands-on expertise in Hadoop Training concepts.
- These projects are completely in-line with the modules mentioned in the curriculum.
Domain: Manufacturing
Project Description:
The client is a tractor manufacturing firm and wants to enhance the quality of the product in every release. They have a manual which is published online to help customers in tackling the issues on their own without the need to get in touch with customer care. Whenever a user browses the manual, logs in the form of JSON files are generated in a server; the client performs research using this log to find out which part of the manual was frequently visited and on which section the user has spent more time. The research would help them find the defective areas and try to fix them in their next release.
Technologies required to Deploy the Project
- Flume: Use Flume service to fetch the logs
- Kafka: Use Kafka Platform to dump into HDFS.
- JSCP ( alternative to dump files in HDFS)
- Hive: To pre-process the data
- Spark: To Transform the data/process JSON
- Oozie: to schedule
Problem Solved (Business Value)
The analysis will help the client in finding out the most problematic parts in the machine to manufacture better parts in the next release.
Hadoop Training Online - Upcoming Events
06 Dec, 2020 - 15 Jan, 2021
09 Dec, 2020 - 29 Dec, 2020
12 Dec, 2020 - 28 Jan, 2021
13 Dec, 2020 - 22 Jan, 2021
16 Dec, 2020 - 05 Jan, 2021
19 Dec, 2020 - 04 Feb, 2021
Hadoop Online Training Objectives
Upon completion of our training, you will be able to:
- Understand writing HDFS/MapReduce programs
- Learn writing and utilizing Hive & Pig Scripts effectively
- Understand internal architecture/design involved on all the Hadoop platforms
- Enhance coding skills using Hbase & Sqoop tools
- According to MarketsandMarkets, the market for Hadoop big data analytics will grow up to USD 50 billion in the next two years.
- Based on a recent McKinsey survey, there is a shortage of over 1,500,000 data experts in the previous year. So, the demand for Hadoop professionals is high.
- The Average Salary of a Big Data Hadoop Developer is $135,000 per annum - Indeed.com
The below job roles are benefited with Hadoop Training:
- Software Developers
- Project Managers
- ETL and Data Warehousing Professionals
- Software Architects
- Data Analysts & Business Intelligence Professionals
- DBAs
- Mainframe professionals
- Data Engineers
- Senior IT Professionals
- Testing professionals
- Graduates interested in Big Data Field
There are no specific prerequisites to learn Hadoop. Prior knowledge of Java and SQL is beneficial.
After completing this training, the learners will gain knowledge on:
- Hadoop basics and Hadoop ecosystem
- Managing, monitoring, scheduling and troubleshooting Hadoop clusters effectively
- Working with Apache Spark, Scala and Storm for real-time data analytics
- Working with Hive, Pig, HDFS, MapReduce, Sqoop, ZooKeeper and Flume
- Testing of Hadoop clusters with MRUnit and other automation tools
- Successfully integrating various ETL tools with Hive, Pig, and MapReduce
Hadoop Certification
Our Hadoop course covers all the topics that are required to clear Hadoop certification. Trainer will share Hadoop certification guide, Hadoop certification sample questions, Hadoop certification practice questions.
Our Course in Comparison
Features
- Demos at Convenient Time?
- 1-1 Training
- Batch Start Dates
- Customize Course Content
- EMI Option
- Mock Interviews after Training
- Group Discounts
Mindmajix
- At your Convenience
Others
- Fixed
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Hadoop Certification Training Course - FAQ's
Yes, you get two kinds of discounts. They are group discount and referral discount. Group discount is offered when you join as a group, and referral discount is offered when you are referred from someone who has already enrolled in our training.
The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course.
The trainer is a certified consultant and has significant amount of experience in working with the technology.
Yes, we accept payments in two installments.
If you are enrolled in classes and/or have paid fees, but want to cancel the registration for certain reason, it can be attained within first 2 sessions of the training. Please make a note that refunds will be processed within 30 days of prior request.
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