Free Resource Provides Five Simple Steps to Conducting Secure, Compliant Data Analytics in Microsoft Azure HDInsight

FREMONT, CA — July 19, 2016 — / — 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 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.

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.

The newly published eBook by Dataguise provides guidance on achieving high levels of sensitive data protection in Azure HDInsight through five simple steps:

Understanding how data is collected, transferred, and stored across the extended enterprise.

  • Defining policies for what data elements are considered sensitive or subject to regulatory requirements (e.g., HIPAA, PCI, PHI, PII).
  • Discovering existing and continually detecting the existence of new sensitive data across all repositories.
  • Automatically encrypting or masking sensitive data according to administrative policies.
  • Viewing, monitoring, and alerting on sensitive data activities and risks in real time.

“An exciting development explored in this document is the configuration of hybrid-cloud deployments of data on-premises and in Azure HDInsight using the Hortonworks Data Platform,” said JT Sison, vice president of marketing and business development for Dataguise. “In combination with the Microsoft Analytics Platform System in HDInsight, users have the ability to conduct a range of functions such as querying on-premises and cloud-based Hadoop clusters simultaneously and processing in a secure real-time environment. It is a resource that reveals important strategies and techniques for safely unlocking the value of data in the Cloud.”

“DgSecure’s unique, data-centric approach to on-premises and cloud-based data security enables secure and compliant deployments of Azure HDInsight with higher utilization rates and more productive user experiences,” said Tiffany Wissner, senior director, product marketing, Data Platform, Microsoft Corp.  “Educating technology buyers of the advancements in this area will be important to ensure the proper steps are taken in these large scale installations.”

Download a free copy of the new Dataguise eBook at:

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About Dataguise
Dataguise is a leader in secure business execution, delivering data-centric security solutions that detect and protect an enterprise’s sensitive data, no matter where it lives or who needs to leverage it. Dataguise solutions free the enterprise from traditional security constraints to support the data-driven organization and maximize the business value of information. DgSecure by Dataguise makes data security painless, delivering a powerful solution that provides the highest level of protection without the need for programming. The company is proud to secure the data of many Fortune 500 companies committed to responsible data stewardship. To learn more about how Dataguise is spearheading the secure data revolution, visit:

Joe Austin
The Ventana Group
(818) 332-6166

Source: Dataguise



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