Big Data Technologies

By analyzing vast information residing within Big Data, any organization can come up with smart analysis to take concrete decisions in terms of development and profit. This incredible advantage led to the demand and evolution of various Big Data technologies to handle big data. Big Data technologies are comprised of all essential infrastructure and program to process and manage huge volumes of organizational data in a real-time platform. Many top leading vendors like Microsoft, IBM, Amazon are engaged in providing Big Data technologies. These technologies will usually belong to either of the two different categories, Operational or Analytical.

Operational Big Data Technology

This kind of technology is used by the organization for capturing and storing data in a real-time and interactive environment. Example: MangoDB. There are also several systems which are accompanied with big cloud computing infrastructures that allow capturing and storage of data in a cloud storage space.

Analytical Big Data Technology

With the help of analytical Big Data technologies, the complex analysis and other retrospective analytical capabilities are carried out by the organization. Example: MapReduce & MPP (Massively Parallel Processing).

Comparison of the two technologies