How big data works

1. Integrate
   
   Big data beings together data from many disparate sources and applications. Traditional data integration mechanisms. such as extract. transform. and load (ETL) generally aren't up to the task. It requires new strategies and technologies to analyze big data sets at tetabyte, or even petabyte scale During integration. you need to bring in the data process it. and make sure it's formatted and available in a form that your business analysts can get started with. 
    
2.  Manage
   
   Big data requires storage. Your storage solution can be in the cloud. on premises. or both. You can store your data in any form you want and bring your desired processing requirements and necessary process engines to those data sets on an on'demand basis. Many people choose their storage solution according to where their data is currently residing. The cloud is gradually gaining popularity because it supports your current compute requirements and enables you to spin up resources as needed.
    
3. Analyze
   
   Your investment in big data pays off when you analyze and act on your data. Get new clarity with a visual analysis of your varied data sets. Explore the data further to make new dm:ovaries. Share your findings with others. Build data models with machine loaning and artificial intelligence. Put your data to work.