Data Privacy and Data Warehousing
E-commerce, social networking, mobile applications, and advertising technologies all have the potential to generate large volumes of data. Leveraging this data in test, development and analysis environments can improve business processes and deliver business insights to drive profitability. At the same time, growing public concerns about consumer data privacy and pending regulations create an environment which can impede an organization’s ability to exploit this data.
Masking on-Demand Advantage
Dataguise data masking solutions can de-identify personally identifiable information (PII) in large data sets, rendering them secure and effective for uses such as cloud hosting, application testing and business analytics. Dataguise delivers a comprehensive solution with Masking on-Demand which initiates data discovery and masking. Data discovery performs fast, automatic vital data identification to quickly pinpoint sensitive data types and its location in large data sets. This information is used by Dataguise’s masking feature to facilitate quick design of custom masking policies through an interactive graphical user interface. The masking capability uses database operations to implement highly-efficient data masking which safely de-identifies the personal information and thereby completely safeguarding it in non-production use.
Scalable Solutions with NetApp Storage
Dataguise data discovery and masking work with NetApp storage management solution to deliver a fast and efficient storage data cloning environment for use in development, test, QA and analytics. NetApp SnapMirror® technology enables quick duplication of production data sets without disruption to live production applications. Dataguise’s discovery and masking features analyze and mask the data in place to create a master masked copy of the production data set. NetApp FlexClone® provides multiple, fully-writable copies of the masked data in minutes with minimal incremental storage requirements.
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Click here to download a solution brief describing the Dataguise-NetApp solution.
Cisco Validated Design
Dataguise and NetApp have worked with Cisco to deliver a Cisco Validated Design for the Cisco Unified Computing System™ (UCS) and Oracle Real Application Clusters (RAC). Cisco UCS is the leading computing platform for datacenter virtualization. Cisco Validated Designs provide tested and documented solutions to facilitate and improve customer deployments. The Cisco UCS and NetApp Solution for Oracle Real Application Clusters (RAC) Cisco Validated Design provides guidance on how the UCS can be used in conjunction with NetApp FAS unified storage systems and Dataguise's data discovery and data masking to implement a Decision Support System (DSS) or Online Transaction Processing (OLTP) database utilizing an Oracle RAC system. The result is an implementation that addresses many of the challenges that database administrators and their IT departments face today, including requirements for a simplified deployment and operation model, high performance for Oracle RAC software, efficient support for test, development and analysis, sensitive data privacy and lower total cost of ownership (TCO).
Click here to view the Cisco UCS and NetApp Solution for Real Application Clusters CVD
"Complying with data privacy regulations can be a major challenge because Hadoop collects data from a wide range of sources, not just corporate databases, and concentrating so much disparate data in one system increases the risk of data theft or accidental disclosure."
CRN
