Big Data Security Architecture

The nist big data reference architecture is a vendor neutral approach and can be used by any organization that aims to develop a big data architecture.

Big data security architecture.

Your architecture should account for big data security by creating a system of governance around the supply of access to the data and the results. Big data solutions typically involve one or more of the following types of workload. Big data security audits help companies gain awareness of their security gaps. Big data architecture includes governance provisions for privacy and security.

The big data reference architecture is shown in figure 1 and represents a big data system composed of five logical functional components or roles connected by interoperability interfaces i e. Working with big data has enough challenges and concerns as it is and an audit would only add to the list. Batch processing of big data sources at rest. January 9 2015 january 9 2015 evoeftimov big data security architecture security security architecture big data security architecture security the purpose of this post is to facilitate the delivery of big data security projects through guidelines about security requirements analysis security solution design and project management.

The big data security architecture should be in line with the standard security practices and policies in your organization that govern access to data sources. Securing big data systems is a new challenge for enterprise information security teams. A big data architecture is designed to handle the ingestion processing and analysis of data that is too large or complex for traditional database systems. The flip side of that coin is that the architecture used to store big data also represents a shiny new target of big data security issues for criminal activity and malware.

Should something happen to such a key business resource the consequences could be devastating for the organization that gathered it. Real time processing of big data in motion. This article offers advice for building security in when designing enterprise big data architectures. This paper focuses on key insights of big data architecture which somehow lead to top 5 big data security risks and the use of top 5 best practices that should be considered while designing big.

And although it is advised to perform them on a regular basis this recommendation is rarely met in reality. Organizations can choose to use native compliance tools on analytics storage systems invest in specialized compliance software for their hadoop environment or sign service level security agreements with their cloud hadoop provider.