Big Data initiatives are intensifying and yet security is in a situation where very little or no attention is drawn to it, even though security obtains top most ranking in the list of big data challenges.
From financial services and government to health care, retail, and manufacturing, organizations across nearly every vertical market are investing in new big data projects but most of them have implemented little or no security beyond user passwords. Recently there were many security violations with respect to Big Data Security, which resulted in vendors paying huge amount and hence there is an increasing need to focus on Big Data security architecture.
Further fast process of consumerizing of Information Technology has escalated these challenges. On day-to-day basis people access the information and data using applications, laptops, phone devices to make decisions on real time data, businesses want to capture this data and analyze it for intelligence. This translates to an overwhelming and ever-increasing volume, velocity, variety and veracity of data generated, shared, and propagated.
Security and privacy issues are blown up by four V ‘s of big data, such as large multi node clusters, diversity of unstructured data sources and formats, streaming nature of data acquisition, and high volume inter-cloud migration. Hence, traditional security mechanisms which are tailored to secure data are inadequate.
To add dimensions on Big Data Security this white paper highlights challenges, risks involved and summarizes best practices, recommendations with secure architecture framework and solution offering for Big Data security.
Find out more at