JavaScript for Line of Business Applications

Map-reduce is a programming technique to solve any aggregation-grouping-summation related problem, where we have huge amount of data and try to do the above operation in parallel in no of distributed machines.

In map function/s, we will collect the frequency of data after processing on some subset of data.

In reduce function/s, we will merge and aggregate the intermediate processed data from map function/s and can apply any other statistical formula on the result to make final output.

So the final result from map-reduce is a form of summery of raw data in repository before processing the data with map-reduce framework.

Recently I held a short lecture on the use of functions in Javascript, and how it’s possible to use functionality like map, reduce, filter and Javascript’s amazing variable context. I prefer to useunderscore.js so that I can use the wonderful functionality even on old browsers.

Lets start easy with _.map. Map is easy, what it does is take an input array, send each element into a function, and putting the result in a result array. The resulting array contains mapped versions of each element in the input array.

We have created a Proof of Concept with Javascript based web server, where we have focused on dealing with NoSql (CouchDB) with javascript based framework Node.js and angular.js on client side.
Software that is used:
* Angular.js for client side development – Single Page Application
* Cross Domain Communication in between Angular.js and Node.js
* Node.js for server side development
* Rest based web service creation with express.js
* Database – CouchDb
* Node.js Cradle Module Extention (to make communication with CouchDB)
* Making CouchDB views with Map-Reduce to fetch the data