by Angela Guess
A new release out of the company reports, “Dataguise, a technology leader in secure business execution, today announced a new eBook titled Safely Unlock the Benefits of Big Data in the Cloud that is available for free download at http://bit.ly/29nT1dk. The eBook details how the Microsoft Azure platform and its cloud-based Hadoop service, Azure HDInsight, help solve the challenges associated with storing, processing, and analyzing big data. It also describes how the Dataguise DgSecure® solution supports a comprehensive strategy to provide precise sensitive data security and compliance for HDInsight service customers.”
The release goes on, “Apache Hadoop has dramatically reduced the complexities associated with how organizations process, store, and analyze huge volumes of structured and unstructured data. The economic benefits of storing and processing large data repositories such as Hadoop in the Cloud have proven to be increasingly compelling over the last few years. As a result, enterprises are turning to Microsoft Azure HDInsight to realize greater value from their big data projects. However, in order to conduct these operations without the risk of exposing sensitive data and falling out of compliance, it is necessary to leverage technology that continuously identifies, protects, and inspects data at a granular level to ensure secure business execution.”
It adds, “The newly published eBook by Dataguise provides guidance on achieving high levels of sensitive data protection in Azure HDInsight through five simple steps: (1) Understanding how data is collected, transferred, and stored across the extended enterprise. (2) Defining policies for what data elements are considered sensitive or subject to regulatory requirements (e.g., HIPAA, PCI, PHI, PII). (3) Discovering existing and continually detecting the existence of new sensitive data across all repositories. (4) Automatically encrypting or masking sensitive data according to administrative policies. (5) Viewing, monitoring, and alerting on sensitive data activities and risks in real time.”
Read more at Marketwired.
Photo credit: Dataguise