MapReduce and Design Patterns - What is Design Pattern ?

In this video we are discussing what is design pattern

Design pattern is nothing but best practices or some techniques which was adopted and developed

and evolved by different experience developers. So design patterns are required to execute our algorithms, our programs with minimum space

and minimum time. So it reduces the space and time complexities. In case of map-produced design pattern, it is special

Why? Because here we are supposed to deal with huge amount of data

So ordinary bubble shot, merge shot, quick shot cannot be applied on them

So that's why we required a separate set of design patterns for this map-produce oriented

application development. And that is the origin of the design pattern. The design patterns are used to represent some good practices and techniques adopted by some

experienced developers. years experiences developers have found that for this kind of problem this is the design pattern to be adopted In MapReduce tasks we need to follow some design patterns to perform different tasks on the

large set of data. Because MapReduce is the part of Hadoop. Hadoop is the solution against the problem, big data

And we cannot use the traditional operations like our quick shot, much shot, on these type

of data because the data size is too big. So, in the design pattern, we should also care about the computational time and the space

That means, design pattern will take care of reduction of time complexities, also the space complexities

Our target is to reduce time and space required to perform the task

So, in this particular tutorial, we are supposed to deal with multiple different design

patterns, and we'll be discussing that for these kind of problems, this design pattern

is necessary to get implemented. So, let us start with the other videos so that you can feel that how this design pattern is playing

role in MapReduce Related Application Development. Thanks for watching this video