MapReduce Online Training | MapReduce Certification Course | Edureka

MapReduce Design Patterns Certification Training

Preview this course

Write MapReduce code using design patterns, learn pattern shuffling, applicability, analogies to Pig & SLQ, Performance Analysis, etc.
996+ satisfied learners Read Reviews
Why should you take MapReduce Design Patterns course ?

Companies like AOL, EBay and Twitter use MapReduce Design Patterns

At Google, MapReduce Design Patterns was used to completely regenerate Google's index of the World Wide Web

​The average pay stands at $189K USD P.A - ​Indeed.com​​

Online self - paced learning

Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You'll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
10 Off
4999
4499
EMI Option availableCall us: +91 96060 58412
100% Satisfaction guaranteed
LIVE ONLINE CLASSES

Learn Big Data Live Online from top industry professionals

Live online training

Interactions with an Live Expert, get your doubts cleared in Real Time.

Classroom Experience

Access to World Class Instructors, from anywhere

Personal Learning Manager

Your guide from Edureka, to ensure you achieve your learning goals.

Get Assured Certification

Live course assures 6 times more probability of getting certified

Learning Objectives - In this module, you will be introduced to Design Patterns vis-a-vis MapReduce, general structure of the course & project work. Also, discussion on Summarization Patterns: Patterns that give a summarized top level view of large data sets.

Topics Review of MapReduce, Why are Design Patterns required for MapReduce, Discussion of different classes of Design Patterns, Discussion of project work and problem, About Summarization Patterns, Types of Summarization Patterns – Numerical Summarization Patterns, Inverted Index Pattern and Counting with counters pattern, Description, Applicability, Structure (how mappers, combiners & reducers are used in this pattern), use cases, analogies to Pig & SLQ, Performance Analysis, Example code walk-through & data flow.

Learning Objectives - In this module, we will discuss about Filtering Patterns: Patterns that create subsets of data for a more detailed view. 

Topics - About Filtering Patterns, Explain & Distinguish 4 different types of Filtering Patterns: Filtering Pattern, Bloom Filter Pattern, Top Ten Pattern and Distinct Pattern, Description, Applicability, Structure (how mappers, combiners & reducers are used in this pattern), use cases, analogies to Pig & SLQ, Performance Analysis, Example code walk-through & data flow.

Learning Objectives - In this module, we will discuss about Data Organization Patterns: Patterns that are about re-organizing and transforming data. Categories of these patterns are used together to achieve end objective.

Topics - About Organization patterns, Explain 5 different types of Organization Patterns – Structured to Hierarchical Pattern, Partitioning Pattern, Binning Pattern, Total Order Sorting Pattern and Shuffling Pattern, Description, Applicability, Structure (how mappers, combiners & reducers are used in this pattern), use cases, analogies to Pig & SLQ, Performance Analysis, Example code walk-through & data flow. 

Learning Objectives - In this module, we will discuss Join Patterns: Patterns to be used when your data is scattered across multiple sources and you want to uncover interesting relationships using these sources together.

Topics - About Join Patterns, Explain 4 different types of Join Patterns: Reduce Side Join Pattern, Replicated Join Pattern, Composite Join Pattern, Cartesian Product Join Pattern, Description, Applicability, Structure (how mappers, combiners & reducers are used in this pattern), use cases, analogies to Pig & SLQ, Performance Analysis, Example code walk-through & data flow.   

Learning Objectives - In this module, we will discuss about Meta Patterns & Graph Patterns. Meta Patterns are different from other Patterns discussed above i.e. these are not basic patterns, but Pattern about Patterns, Introduction to Graph Patterns.  

Topics - About Meta Patterns, Types of Meta Patterns: Job Chaining – Description, use cases, chaining with  driver, basic & parallel job chaining, chaining with shell scripts, chaining with job control, Example code walk-through, Chain Folding – Description, What to fold, Chain mapper, Chain Reducer, Example code walk-through, Job Merging - Description, Steps for merging two jobs,  Example code walk-through, Introduction to Graph design Pattern, Types of Graph Design Patterns: In-mapper Combining Pattern, Schimmy Pattern and Range Partitioning Pattern Pseudo-code for each pattern applied to Page-rank algorithm.

Learning Objectives - In this module, we discuss about Input Output Pattern: Input Output Patterns are about customizing input & output to increase the value of map reduce, Project Review.  

Topics - About Input Output Patterns, Types of Input Output Patterns – Customizing Input & Output, Generating Data, External Source output, External Source Input, Partition Pruning: Description, Applicability, Structure (how mappers, combiners & reducers are used in this pattern), use cases, analogies to Pig & SLQ, Performance Analysis, Example code walk-through & reviewing the project work solution.     

Like the curriculum? Enroll Now
Structure your learning and get a certificate to prove it.

Edureka’s MapReduce Design Professional Certificate Holders work at 1000s of companies like

5000 Total number of reviews
4.57 Aggregate review score
80% Course completion rate
No data found
Eric Arnaud link PhD candidate in computer engineering speciality applied cryptography at Korea University of Technology and Education

I would like to recommend any one who wants to be a Data Scientist just one place: Edureka. Explanations are clean, clear, easy to understand. Their support team works very well such any time you have an issue they reply and help you solving the issue. I took the Data Science course and I'm going to take Machine Learning with Mahout and then Big Data and Hadoop and after that since I'm still hungry I will take the Python class and so on because for me Edureka is the place to learn, people are really kind, every question receives the right answer. Thank you Edureka to make me a Data Scientist.

Sarvani Kare Sr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area

Very good courses covering lots of topics. Excellent class delivery and lecture notes. I really learnt a lot and will surely miss not having the classes any more. I will definitely keep in touch with edureka! and my instructor through LinkedIn and emails. I would also like to convey my special thanks to the edureka! support team for their prompt technical support that is available 24/7 and for their awesome Learning Management System (LMS) on the website with all the class recordings and the material.

Venkat Ramana link Test Architect at NCR corporation pvt ltd

Thanks for the quick reply and solving the issue. I was really impressed by your 24/7 support even during the festive period. I appreciate your service and the trainer for Bigdata is very friendly and we've learnt the subject in very effective way. Thanks Edureka for doing such a great things.

Amit Vij link HRSSC HRIS Senior Advisor at DLA Piper

I am not a big fan of online courses and also opted for class room based training sessions in past. Out of surprise, I had a WoW factor when I attended first session of my MSBI course with Edureka. Presentation - Check, Faculty - Check, Voice Clarity - Check, Course Content - Check, Course Schedule and Breaks - Check, Revisting Past Modules - Awesome with a big check. I like the way classes were organised and faculty was far above beyond expectations. I will recommend Edureka to everyone and will personally revisit them for my future learnings.

Pramod Kunju link Data Warehouse Guru, Greater Los Angeles Area

I found the big data course from Edureka to be comprehensive, and practical. Course instructor was very knowledgeable, and handled the class very well in terms of making it interactive, keeping it interesting, and responding to all questions from students. The support staff was excellent as well, engineers assisted me remotely when I encountered an issue with HDFS even after the course was over. Overall, highly recommend Edureka for big data training and more.

Tejinder Singh PGDCA, MSc(IT), MCA, M-tech(IT), Phd(CS)*, Lecturer, Baba Farid College, Punjab

There is a plethora of online training material available for Android; the reason I chose Edureka is the rare combination of great instructors, comprehensive course material . The course has a clear direction, which is perfect for efficiency-oriented professionals like us! What differentiates Edureka training from numerous other Android trainers is that they bring a lot of corporate experience on the table, and that is evident in their teaching techniques.

Bhairav Mehta link Senior Program Manager at Apple

Edureka is a revolution in Big Data training. I have taken 5 courses through Edureka from Hadoop, R, Data Science and Python. They have perfect material prepared professionally by highly qualified professionals and their Learning management system is very resourceful. All the links and virtual machines work well and well designed. Instructors for the courses are very well selected. They are very responsive to their customer needs and responds within minutes to questions. They have redefined big data learning for me and I am a loyal customer of Edureka. They keep innovating and add newer courses every month.

STILL HAVE QUESTIONS. CALL US 1833 833 0584
READ MORE TESTIMONIALS
Loved reviews? Enroll Now
Structure your learning and get a certificate to prove it.
The project work will consist of 5 different components based on different MapReduce Design Patterns learnt during the duration of the course. Participants are expected to complete each of these components in their spare time between the weekly classes. Each of these components will require close to 3 hours to complete. Solution to the project will be discussed in the last module. 
For your practical work, we will help you setup Edureka's Virtual Machine in your System. This will be a local access for you. The required installation guide is present in LMS.

Course Duration

You will undergo self-paced learning where you will get an in-depth knowledge of various concepts that will be covered in the course.

Real-life Case Studies

Towards the end of the Course, you will work on a real life case study.

Assignments

Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Lifetime Access

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.

Certification

Edureka certifies you as a MapReduce Design Pattern Expert based on the project reviewed by our expert panel.

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.
All our instructors are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts and are trained by Edureka for providing online training so that participants get a great learning experience.
You can give us a CALL at +91 88808 62004/1800 275 9730 (US Tollfree Number) OR email at sales@edureka.co
For payments done using credit cards, to make this a No Cost EMI offer, the interest amount will be discounted from the price of the course. Your card will be charged for the course price minus the discounted interest. The total amount you will pay to the bank (excluding GST) will be equal to the price of the course. The bank will charge GST on the interest amount. For payments done using Razor Pay EMI, the price will not be discounted upfront. Instead, you will not be charged any interest for a No Cost EMI offer.
Be future ready. Start learning
Structure your learning and get a certificate to prove it.

Checkout our Big Data Architect Masters Program

Big Data Masters Program makes you proficient in tools and systems used by Big Data experts. It includes training on Hadoop and Spark stack, Cassandra, Talend and Apache Kafka messaging system. The curriculum has been determined by extensive research on 5000+ job descriptions across the globe.

Explore Big Data Architect Masters Program
Big Data Architect Masters Program
You are here