MapReduce Design Patterns (3 Blogs) Become a Certified Professional
27 Feb 2015

Tailored Big Data Solutions Using MapReduce Design Patterns

What are MapReduce Design Patterns?

MapReduce is basically a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed algorithm on a cluster, while design patterns help in providing a common framework for solutions. Thus, MapReduce design patterns can be labeled as recurring patterns in big data-related problem-solving.

Why learn MapReduce Design Patterns?

Design Patterns are problem specific templates developers have perfected over the years for writing correct and efficient codes. It encodes correct practices for solving a given piece of problem, so that a developer need not re-invent the wheel in the hard way. MapReduce program bugs can be hard to debug – using well established Design Patterns can alleviate some of that pain.

Got a question for us? Please mention it in the comments section and we will get back to you.

Related Posts:

Get Started with MapReduce Design Patterns

1 Comment

Join the discussion

Browse Categories

webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP

Subscribe to our Newsletter, and get personalized recommendations.