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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