What You'll Learn
Understand MapReduce Online Course fundamentals and Hadoop ecosystem components.
MapReduce Online Training Learn how to design and implement map and reduce functions.
Compare data partitioning, shuffling, and sorting strategies for performance optimization.
Implement fault tolerance, data replication, and error handling in distributed jobs.
Manage large-scale datasets using HDFS and optimize storage utilization.
Handle job scheduling, resource allocation, and cluster management.
MapReduce Training Objectives
- MapReduce serves two essential functions: it filters and parcels out work to various nodes within the cluster or map, a function sometimes referred to as the mapper, and it organizes and reduces the results from each node into a cohesive answer to a query, referred to as the reducer.
- A MapReduce job usually splits the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner.
- The framework sorts the outputs of the maps, which are then input to the reduce tasks. Typically both the input and the output of the job are stored in a file-system.
- MapReduce is a Distributed Data Processing Algorithm introduced by Google.
- MapReduce algorithm is useful to process huge amount of data in parallel, reliable and efficient way in cluster environments. It divides input task into smaller and manageable sub-tasks to execute them in-parallel.
- Scalability
- Flexibility
- Security and Authentication
- Cost-effective solution
- Fast
- Simple model of programming
- Parallel Programming
- Availability and resilient nature
- Basic knowledge of programming languages like Python, Scala, Java
- Better understanding of SQL and RDBMS
- Enhance your career opportunities as more organizations work with big data.
- Professionals with good knowledge and skills in Hadoop are in demand across various industries.
- Improve your salary with a new skill-set.
- Secure a position with leading companies like Google, Microsoft, and Cisco with skills in Hadoop and big data.
- The primary difference between MapReduce and Spark is that MapReduce uses persistent storage and Spark uses Resilient Distributed Datasets.
- Spark is able to execute batch-processing jobs between 10 to 100 times faster than the MapReduce Although both the tools are used for processing Big Data.
- Hadoop is a software library with five modules. When working with an ETL tool, you will most likely use Hadoop MapReduce and Hadoop Distributed File System (HDFS).
- A Map Task is a single instance of a MapReduce app. These tasks determine which records to process from a data block.
- The input data is split and analyzed, in parallel, on the assigned compute resources in a Hadoop cluster. This step of a MapReduce job prepares the pair output for the reduce step.
- If you already satisfy the requirements for learning Hadoop, it will take you a few days or weeks to master the topic.
- If you are learning from scratch, it can easily take 2 to 3 months for learning Hadoop. In such cases, it is strongly recommended that you enrol in Big Data Hadoop Training.
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Benefits of MapReduce Course
MapReduce Certification Course equips you to process large-scale datasets efficiently, design fault-tolerant distributed algorithms, and optimize performance for big data workloads. MapReduce Course with Placement prepares you for roles in data engineering, Hadoop administration, cloud data platforms, and distributed computing. MapReduce Projects demonstrate hands-on expertise in real-world data processing scenarios.
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About Your MapReduce Training
MapReduce Online Course teaches distributed computing fundamentals and the Hadoop ecosystem. Students learn how map and reduce functions work, manage data across nodes, handle scheduling, and ensure fault-tolerant, scalable processing. MapReduce Internship emphasizes both theoretical understanding and practical implementation of big data pipelines.
Top Skills You Will Gain
- Map & Reduce function design
- Hadoop Distributed File System
- Job scheduling
- Data partitioning
- Fault tolerance
- Performance profiling
- Debugging distributed jobs
- Handling large-scale datasets
12+ MapReduce Tools
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Why MapReduce Course From Learnovita? 100% Money Back Guarantee
MapReduce Course Curriculam
Trainers Profile
Trainers are certified professionals with 12+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from MapReduce are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Syllabus of MapReduce Course Download syllabus
- 1. Hadoop vs RDBMS
- 2. Core components of Hadoop
- 3. Hadoop Distributed File System
- 4. HDFS Architecture and MapReduce
- 1. MapReduce in Hadoop
- 2. History of MapReduce
- 3. MapReduce applications
- 4. Data Flow in MapReduce
- 5. Map and Reduce operations
- 6. Job submission flow of MapReduce
- 1. Data Flow in MapReduce
- 2. MapReduce example
- 3. MapReduce Daemons
- 4. Job tracker
- 5. Task Tracker
- 6. Other phases in MapReduce
- 7. Data Flow in single, multiple and no reduce task
- 1. Hadoop 1.x architecture
- 2. Problem with Hadoop 1.x, Hadoop 2.x features,
- 3. YARN MR Application Execution Flow
- 4. YARN Workflow
- 5. Anatomy of MapReduce Program
- 1. Input Splits in MapReduce
- 2. Combiner
- 3. Partitioner
- 4. Demos on MapReduce
- 5. Counters
- 6. Distributed Cache
- 7. MRunit
- 8. Reduce Join
- 9. Custom Input Format
- 10. Sequence Input Format
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Exam & Certification
- Participate and Complete One batch of MapReduce Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the MapReduce Certification course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
 
 
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How are the MapReduce Course with LearnoVita Different?
Feature
LearnoVita
Other Institutes
Affordable Fees
Competitive Pricing With Flexible Payment Options.
Higher MapReduce Fees With Limited Payment Options.
Live Class From ( Industry Expert)
Well Experienced Trainer From a Relevant Field With Practical MapReduce Training
Theoretical Class With Limited Practical
Updated Syllabus
Updated and Industry-relevant MapReduce Course Curriculum With Hands-on Learning.
Outdated Curriculum With Limited Practical Training.
Hands-on projects
Real-world MapReduce Projects With Live Case Studies and Collaboration With Companies.
Basic Projects With Limited Real-world Application.
Certification
Industry-recognized MapReduce Certifications With Global Validity.
Basic MapReduce Certifications With Limited Recognition.
Placement Support
Strong Placement Support With Tie-ups With Top Companies and Strong Mock Interviews.
Basic Placement Support
Industry Partnerships
Strong Ties With Top Tech Companies for Internships and Placements
No Partnerships, Limited Opportunities
Batch Size
Small Batch Sizes for Personalized Attention.
Large Batch Sizes With Limited Individual Focus.
Additional Features
Lifetime Access to MapReduceCourse Materials, Alumni Network, and Hackathons.
No Additional Features or Perks.
Training Support
Dedicated Mentors, 24/7 Doubt Resolution, and Personalized Guidance.
Limited Mentor Support and No After-hours Assistance.
MapReduce Course FAQ's
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, Sports One , Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.
 
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 Regular 1:1 Mentorship From Industry Experts
 Regular 1:1 Mentorship From Industry Experts 
                                   
                                
                                
                                   
                                
                                   
                                
                                   
                               