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MapReduce Design Pattern Certification Training

4.7( 3 REVIEWS )
203 STUDENTS
Overview Planning a career as a data consultant or scientist? Our MapReduce Design Pattern Certification Overview us the industry-leading training …

Overview

Planning a career as a data consultant or scientist? Our MapReduce Design Pattern Certification Overview us the industry-leading training for savvy professionals to multiply their success. The certification will assist you to have the best course material to learn big data analytics. It can be an excellent starting point to focus on the relevance and deployment of MapReduce and how to implement different frameworks to MapReduce.

You can learn quickly at your own pace how to utilise MapReduce in the industry settings. The course will boost your knowledge regarding adaptability, shuffling pattern, and description. Learners will also know how to use MapReduce and write mature code to avoid common mistakes. The course teaches you techniques regarding filtering, data organisation, output, and graph patterns.

You can use this MapReduce Design Pattern Certification Training to set yourself on a course of continuous success. Qualifying in this course will set you in the right direction, giving you the opportunity to open the door to new and exciting job roles in data and analytics.

 

Why You Should Take This Training at Study365?

Study365 is a leading online provider for several accrediting bodies and provides learners the opportunity to take this exclusive course awarded by Edureka. At Study365, we give our fullest attention to our learners’ needs and ensure they have the necessary information required to proceed with the Course.

Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships, and their favourite restaurants.

  • Access Duration
  • Who is This Course For?
  • Entry Requirements
  • Certification
  • Awarding Body
  • Method of Assessment
  • Career Path & Progression

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lessons at any time.

This course is for anyone looking to build a career as: 

  • Data analysis and scientists
  • Learners should have basic know-how of English, ICT, and numeracy.
  • A sound educational background is preferable for this course.
  • Learners should have a basic understanding of Hadoop framework
  • Basic knowledge of MapReduce is recommended.

Upon the successful completion of the course, you will be awarded the 'MapReduce Design Pattern Certification Training' by Edureka.

Edureka is fastest growing online learning platform with a trusted name in the industry. The platform has the highest course completion rate and turns beliefs into realities by ridiculously committing to their students. Edureka collaborates with Study365 and many other educational bodies to provide guaranteed learning and success to global students & professionals.

You can earn and obtain this Git and Github certification by submitting an assignment that will be marked according to your expertise. The harder you work, the easier it gets to earn your certificate.

MapReduce Design Pattern Certification Training will steer you in an upward trajectory to work as a successful data management expert or analyst. You can get many high-paying jobs and also enhance your learning with more advanced courses simultaneously.

Given below are job titles you can compete for, along with the average UK salary per annum according to https://www.glassdoor.com.

  • Data Analysts - £50,000 (Approximately)

Course Curriculum

1:Introduction & Summarization Patterns
Review of Map Reduce
Why are Design Patterns required for Map Reduce
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
2: Filtering Patterns
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
3: Data Organization Patterns
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
4 : Join Patterns
About Join Patterns
Explain 4 different types of Join Patterns: Reduce Side 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
5: Meta Patterns & Graph Patterns
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
6: Input Output Pattern & Project Review
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

Students feedback

4.7

Avarage rating (3)
4.7
5 Star
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1 Star
    R B

    Rowan Baker

    July 05, 2021
    Very Impressive Site

    This site is rich and super interactive. Like it much.

    B W

    Blair White

    May 19, 2021
    MapReduce is Easy

    I thought MapReduce was difficult, but not after this course, amazing video lessons.

    G C

    Glen Chapman

    April 29, 2021
    High Quality Course

    This is a high quality course online. I studied it for professional reason and found informative.

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