Monday, December 22, 2014

Big Data Analytics

Do you heard about Big Data? Nowadays, the quantity of data is growing at an astonishing rate, from Terabytes to Petabytes to Exabytes. How we can track data? These strange terms have seen everywhere and we have entered in to the age of Big Data.

Big data refers to combinations of data sets whose volume (amount of data), variety (range of data types and sources), and velocity (speed of data in and out) make them difficult to be captured, managed, processed or analyzed by conventional technologies and tools, such as relational databases and desktop statistics or visualization packages, within the time necessary to make them useful.

The complex nature of big data is primarily driven by the unstructured nature of much of the data that is generated by modern technologies, such as that from web logs, radio frequency Id (RFID), sensors embedded in devices, machinery, vehicles, Internet searches, social networks such as Facebook, portable computers, smart phones and other cell phones, GPS devices, and call center records. In most cases, in order to effectively utilize big data, it must be combined with structured data (typically from a relational database) from a more conventional business application, such as ERP or CRM.

Big Data is much more complex than simply managing and exploring large volumes of data. It is large pools of data that can be brought together and analyzed to discern patters and make better decisions. Thus it will become the basis of competition and growth for individual enterprises, enhancing productivity and creating significant value.

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