Understanding Big Data: Hadoop to Become a Dominant Platform
As a result of the amount of big data that is streaming into companies and organizations, people have to analyze it quickly, make reports, and dispose of it in the right way. For easy reference, reliable storage of all data is needed. In fact, there has been a significant need for a big data management framework that will take care of all of these processes at once. Hadoop has brought a solution for such companies.
What is Hadoop?
Any data expert who has been dealing with big data solutions should understand what Hadoop is so that they can recommend it to clients where applicable. This is a series of open-source programs that are distributed to different computers to provide data storage and analyses for companies that handle enormous amounts of data on a daily basis.
Hadoop works perfectly when these two parts are put into use:
· Distributed file system – This is how data is stored on the Hadoop platform. Many storage devices are connected together to create enough storage in formats that allow for easy retrieval during an analysis. No matter which computer OS is used, Hadoop will still use its own file format that is above the hosting OS.
· MapReduce – The name suggests two important parts of Hadoop. Mapping involves reading data and getting it ready for analysis. It makes sure that the format is appropriate and ready for the operations. The other part is called “reduce,” which involves …
