Introduction of Big Data

Introduction of Big Data:

Big data, is it really big? Do we really need it in our lives or work? is it valuable? These are some questions pops in our minds when we think about big data. Nowadays, our lives surrounding by a lot of digital data, which we can collect, explore, and analyze.

By increasing rang of technologies and techniques big data has been known. Big Data is a term refers to a huge number of unstructured and structured data. Basically, it is combination of datasets, which is because of their massive size and complexity, are difficult to store, manage, and query, that make it very difficult to operate and analyze by using traditional database and software techniques. Having big data requires different approaches such as, tools, teachings and architecture. big data creates value from the storage data and operating very large quantities of information.

Sources of big data:

There are Three characteristics of Big Data:

•           Volume: (quantity of data) Today, Facebook ingests 500 terabytes of new data every day.

•           Velocity: (the speed of data processing) machine to machine operations exchange data between billions of devices.

•           Variety: (types of data) big data includes, audios, videos, pdfs and words files etc.

Characteristics of data can be analyze by applying three steps: First, selecting the source of data for analyze. Second, remove the redundant data, and finally, Establishing NoSQL role which is database provide a technique for storing retrieval data in a mechanism way.

by captured, arrange, stored, manipulate, and analyzed that data, it helps companies and organizations to improve their operations and make faster, more bright decisions. It increases their income, get new customers or retained customers.