MapReduce Design Patterns Certification Training

Solve complicated data computation issues using MapReduce Design Patterns

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Key Highlights

  • Live Project on Real-life Case Studies
  • Practical Assignments
  • Lifetime Access to Learning Management System
  • 24x7 Expert Support
  • Course Completion Certificate
  • Online Forum for Discussions

Course Price

$99.00 $199.00

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1866-216-7898

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Available Courses Delivery

This course is available in the following formats:

Self Paced (On-Demand)

24x7 access to instructor-led videos and practical activities
Convenient training that syncs with your schedule
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$199  $99

Course Overview

With MapReduce Design Patterns Certification, learners will get a better understanding of the design patterns, including concepts like shuffling patterns, applicability, and structure. They will be able to write MapReduce code expertly, and apply the same to real world problems in an apt manner.

Course Objectives

  • Get a grasp of the MapReduce Design Patterns
  • Identify cases in the real world where the patterns can be applied
  • Write complex and efficient codes using MapReduce
  • Learn the best MapReduce practices

Career Benefits

  • Enter the demanding Big Data market
  • Raise your career prospects in the Big Data sector
  • Better remuneration
  • Use a system that is economical, fast, and scalable

Prerequisites

  • Basic Knowledge of Big Data and Hadoop

Who should take up?

  • Aspiring Big Data Scientists
  • Big Data Enthusiasts
  • Freshers who want a career in Hadoop MapReduce
  • Hadoop Administrators
  • Big Data Professionals
  • Mainframe Testing Professionals
  • Hadoop Testing Professionals
  • Full Stack Developers

Course Content

  • 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
  • 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
  • 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
  • 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
  • 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
  • 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

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