The Analytical Study on Enterprise/Public Information Protection with Big Data: Challenges and Impact on Data

Abstract

Today, we have moved on at pace to web and mobile client enabled multitier computing, business process management and service oriented architecture. But still the problem of distributed data remains. If anything it is getting worse, Cloud computing is one of the tools for us, meaning that business application systems now exist outside the enterpriselevel as well as in public area. Multiple data warehouses or service providers have also emerged as a line of business thathas taken hold of business intelligence and analytics. Data warehouse applications have emerged, creating more data stores yet, and for many, master and reference data is still not under control.

The wave of cloud computing is Big Data, which is widespread in the industry by storm. Given the difficulty already upon us in managing data and managing information security in a distributed computing environment, what then is the impact of big data on the enterprise? This is an important question in front of all of us. What is big data, and how much of a challenge does it pose to the already overextended need to enforce enterprise information protection?

In this paper, we have first define what enterprise information security and privacy involves, then looking at necessities that need to be met before introducing big data and identifying what impact this has on those necessities.