MapReduce Training Online

About our MapReduce online course

Our online MapReduce course is an ideal choice for beginners, upskillers, and career switchers who wish to master this powerful data processing tool. MapReduce is a framework that enables the processing of large data sets in a distributed computing environment. With our course, you will gain an in-depth understanding of MapReduce concepts, enhancing your skills in data handling and analytics. Given the demand for data processing professionals in the USA, this course holds significant market relevance.

MapReduce Course key highlights

• Instructor-led and live online sessions
• Hands-on labs for practical learning
• Real-world case studies to enhance understanding
• Capstone project for comprehensive learning
• Placement support to help you land a lucrative job
• Resume and interview preparation to boost your confidence

Overview of our MapReduce online Training

Our MapReduce online training is designed to offer flexibility with weekday and weekend batches. The course includes live sessions and access to a Learning Management System (LMS) for self-paced learning. You will also have access to a lab environment for hands-on practice using real-world datasets.

Tools & Systems Used:

• Hadoop
• Java
• HDFS
• YARN
• Apache Pig
• Apache Hive

Objectives of our MapReduce online training course

• Understand the basic concepts of MapReduce
• Learn to write efficient MapReduce applications
• Master data processing techniques using MapReduce
• Gain hands-on experience through lab sessions
• Learn to handle real-world datasets
• Prepare for job interviews with resume and interview prep

What you will learn in our MapReduce classes

• Basics of MapReduce and its architecture
• Data processing techniques using MapReduce
• Writing efficient MapReduce applications
• Working with Hadoop, Java, Apache Pig and Hive
• Handling real-world data sets
• Preparing for job interviews

Course syllabus

Our course syllabus has the following modules:

• Introduction to MapReduce
• MapReduce architecture
• Working with Hadoop and Java
• Data processing using MapReduce
• Handling real-world datasets
• Preparing for job interviews

Prerequisites include basic knowledge of Java and Hadoop. Resources included are LMS, recordings, and templates.

Course details

Pricing: Contact our instructors for pricing

Software requirements: Windows 10, internet speed of at least 10 Mbps, headset, and system specs for MapReduce trial/remote access.

After-course support: resume help, mock interviews, placement assistance, career counseling. Email: [Email]. Speak to an Advisor