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MapReduce Design Patterns Training

mapReduce Design Patterns Training in Bangalore Offered by myTectra is the most powerful mapReduce Design Patterens Training ever offered with Top Quality Trainers, Best Price, Certification, and 24/7 Customer Care. 

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About Program

MapReduce Design Patterns course takes the MapReduce developers on the path of writing MapReduce code as experts would, using well established Design Patterns.The concepts like Shuffling Pattern, Description, Applicability, Structure (how mappers, combiners & reducers are used in this pattern), use cases, analogies to Pig & SLQ, Performance Analysis, and how to apply MapReduce to real world use cases will be covered in the course.

The pre-requisites for this course include hands-on experience in Hadoop Framework and a basic understanding of MapReduce.

The course is designed for people who want to gain expertise in their understanding of the MapReduce paradigm.

Curriculum:

Introduction & Summarization Patterns:

Learning Objectives - In this module, you will be introduced to Design Patterns vis-a-vis MapReduce, the 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.

Filtering Patterns:

Learning Objectives - In this module, we will discuss 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.

Data Organization Patterns:

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

Join Patterns:

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.
 

Meta Patterns & Graph Patterns:

Learning Objectives - In this module, we will discuss 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, Shimmy Pattern and Range Partitioning Pattern Pseudo-code for each pattern applied to Page-rank algorithm.

Input-Output Pattern & Project Review:

Learning Objectives - In this module, we discuss 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 solutions.
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Participate in a demo session for an overview of the course content. You will meet instructors and fellow learners, ask questions, and understand the teaching approach, helping you gauge the course’s relevance to your goals.

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Complete your registration to join the course. You will gain access to the Learning Management System (LMS), where all materials, schedules, and resources are available, ensuring you’re ready to embark on your learning journey smoothly.

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Engage in live classes led by experienced instructors covering core topics in depth. Interactive discussions and Q&A sessions encourage active participation, enhancing your understanding and retention of the material taught.

Hands-On Project

Complete a hands-on project that applies your learned skills in practical scenarios. This project simulates real-world challenges, allowing you to build a portfolio piece that showcases your competencies to potential employers.

Certification

After completing the course and project, you will receive a recognized certification that validates your expertise and enhances your professional credentials in your chosen field.

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Access career support services after certification, including resume workshops, interview preparation, and job placement assistance. These resources equip you with the tools needed to transition successfully into the workforce.

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Would you like to reach us for the training for your team? Please fill the below form. We will get back to as soon as possible.

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myTectra is providing 100% placement assistance on our key courses. We help you with the career counselling, Exams on Key courses, Mock Interviews and Technical Interviews Tips.

Landing an interview proves that you have the job-specific skills for the position, but how do your interview skills stack up? Also, Soft skills are often the most important factor in showing you're the best candidate for the job.

Hence we are conducting FREE TRAINING on Soft-Skills worth Rs-25, 000 to all myTectra students which will help you to attend the interviews with more confidence. 

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You will never miss a lecture at myTectra. You can choose either of the two options:

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  • If you miss one or few classes we can give a backup class based on trainer and your convenient time. 
  • In case if you miss many classes, we can reschedule your class with upcoming batches or other running batches based on how many courses topics you have completed so far.

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  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.
Can I attend a demo session before enrollment?

Yes. We arrange a free demo for all the courses either in the Classroom or Live-Online demo. Please fill the demo request form below to schedule a free demo.

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What are the payment options?
Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email for both classroom training and Online training.
 
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Classroom Training - We deliver classroom training for corporate in more than 20 countries. Send us an Enquiry Now!

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* All of the classes are conducted live online. They are interactive sessions that enable you to ask questions and participate in discussions during class time. We do, however, provide recordings of each session you attend for your future reference.

Who are the Trainers?

Our Trainer’s are chosen not only for their knowledge and expertise but also for their real-time experience in the respective courses.

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