mapreduce design online training by maxmunus

Services alaska 09/07/2015 08:30
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course curriculum of mapreduce design patterns
• introduction & summarization patterns::
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.

• filtering patterns::
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.

• data organization patterns::
learning objectives - in this module, we will discuss about data organization patterns: to join online training session kindly feel free to contact with us
name – saurabh srivastava
email - id – saurabh@maxmunus.com skype - id - saurabhmaxmunus contact no. - +91 - 8553576305
company website - http://www.maxmunus.com services alaska


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