Big data analytics

Big data analytics

1. technologies

   • No SQL
     • NoSQL database, also called Not Only SQL, is an approach to data management and database design that's useful for very large sets of distributed data. 
   • MapReduce
     • MapReduce is a software framework that allows developers to write programs that process massive amounts of unstructured data in parallel across a distributed cluster of processors or stand-alone computers.
     • It was developed at Google for indexing Web pages and replaced their original indexing algorithms and heuristics in  2004.
   • Hadoop
     • Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment.
   • Use
     • These technologies form the core of an open source software framework that supports the processing of large data sets across clustered systems.

2. big data

   • It is a collection of  Data sets
   • Storage capacity
     • In 2012, limits on the size of data sets that are feasible to process in a reasonable amount of time were on the order of exabytes of data
   • uses
     • Inductive statistics
     • Nonlinear system identification

3. Primary goal

   • is to help companies make better business decisions

4. Used by

   • predictive analytics
   • data mining