Algorithm and Big data

Data is emanating from every digital medium making it extremely complicated for a normal system to handle it. With such tsunami of data, intelligent algorithms become indispensable. They can automate the entire procedure to make it simpler and accurate.

Big data is so large that it does not fit in the main memory of a single machine, and the need to process big data by efficient algorithms arises in Internet search, network traffic monitoring, machine learning, scientific computing, signal processing, and several other areas.

Big Data depend heavily on Algorithms for their utility. The intelligent algorithms do not only decode the data but analyze and provide the right output at the right time. The complexity of Big Data has made it hard to be deployed and operated. Algorithms solve this purpose by acting as the implementing agent in the system. The massive adoption of algorithms in Big data has made it a key for development.

The intelligent algorithms do not only decode the data but analyze and provide the right output at the right time. The reason behind this fact is the complexity of Big Data which has made it hard to be deployed and operated. Algorithms solve this purpose by acting as the implementing agent in the system