Hortonworks Data Steward Studio (DSS), a new service that gives enterprises consistent security and governance for data assets across big data repositories. With DSS, businesses will be more able to identify and evaluate trust levels of their data, collaborate securely, and democratize data across the enterprise with confidence. This, in turn, allows businesses to derive better insights from more of the data living in all of their data lakes, whether they are located in on-premises data centers or in the cloud. DSS is the second service to be available as part of the Hortonworks DataPlane Service, an enterprise-grade platform for global data management.
According to Forrester, “Increasing data volume is creating new challenges in integration, security, curation, administration, and governance. Business users want real-time trusted data to make accurate business decisions, while technology management wants to simplify administration and lower costs.” And when enterprises’ data assets are stored in multiple clusters both in on-premises data centers and in the cloud, repositories may contain different slices of data making it difficult to trust and analyze effectively. Too much time is spent identifying, cleaning and integrating the data instead of analyzing it to add value for business users. Additionally, with the arrival of the General Data Protection Regulation (GDPR), a comprehensive view of data lineage has never been more important.
DSS helps solve these challenges by providing information stewards, data scientists, business analysts and data engineers with robust capabilities to find, curate, collaborate, secure and report on data and its context through an intuitive user experience. Customers can now get a comprehensive view of their data across data lakes that aggregates critical data assets, reducing the time it takes to understand key data aspects while reducing risk.
“Uncovering insights from diverse data types across multiple data lakes requires substantial amounts of effort to establish lineage, improve quality and eliminate redundancies across data assets,” said Scott Gnau, chief technology officer at Hortonworks. “Given the speed at which global business runs today, our enterprise customers need a faster and easier way to understand, connect, secure and govern data types consistently across enterprise data lakes. DSS will uniquely allow customers to achieve confidence in their data in less time and therefore create more opportunity for data scientists to analyze and extract the true value of their data.”
DSS is delivered as a service and leverages open source technologies, such as Apache Atlas and Apache Ranger, to share and extend the value of a modern data architecture in heterogeneous environments.
