Algorithms for Big Data and Data Science

The major challenge of big data in research, industry and society is the availability of suitable technology and its proper usage. This is one of the important questions in Information Management. Another problem related to big data is its storage, security and its applications. In many applications, the amount of data does not make sense, but way it is used matters. Organizations must be capable to utilize the huge data for the advantage of their organization's growth. There are some algorithmic methods that provide better results for analysing a large amount of data. In many of the application areas, efficient algorithms will be essential in order to obtain the required efficiency. Security and storage remain critical issues for IT departments to manage the large quantity of data. Organizations must find an adaptable. mechanism to validate and use the data by keeping its confidential nature. When the data become too large, the organization has to face more difficulty in processing it. But it is known that this is where data science comes in. Many organizations have faced this problem and identified that they can generate more accurate results or predictions, if data science is used in a better way. Generally, statistical algorithms are used to sort, classify and process data. The paper discusses data science and some of the algorithms used in.