Aims to bring self-service data access to Big Data worker
NEW DELHI, INDIA: At the first-ever Pivotal Summit in Singapore, Pivotal, the company at the intersection of big data, PaaS, and agile development, announced, with NYSE Technologies, Pivotal Data Dispatch (Pivotal DD).
Pivotal DD is a scalable and cost-effective solution offering a consolidated view of disparate data sources, self-service sandbox provisioning for reporting and data analytics. Companies can now rapidly and securely provision structured and unstructured Big Data from any source - whether that's Hadoop, MPP, Flat File or a legacy database - to enable unprecedented levels of analytics output from data workers.
With the use of Pivotal DD, businesses will now have a comprehensive system to view, manage and analyze data inside and outside the organization to make quicker decisions and develop key data insights for the organization.
Enterprises today need to close the gap between the rapidly growing big data repositories and their ability to extract value from them in a timely way. Companies must improve analytics time-to-market by empowering data workers - analysts, business intelligence professionals and data scientists - with on-demand access to data from disparate sources.
Data workers need fast access to disparate internal and external data for complex analytics with strict service level agreements that move faster than traditional IT tools and processes allow. The challenge of speed and access is compounded by the proliferation of terabytes of data among multiple platforms distributed geographically and between organizations.
Pivotal DD removes Big Data and analytic barriers by giving customers speed from self-service discovery and access of data; control through improved security and compliance through unified access control, policy enforcement, and audit capabilities; and efficiency via cost stabilization with reduced IT involvement and managed data growth from leased sandbox creation.
Pivotal DD also includes these capabilities:
Unified Data Platform views: A catalog of disparate data platforms, allowing IT to register the data platforms, define the business metadata, create security and access rules, and enforce policies
Data Management for Hadoop and Beyond: Fast access to an enterprise data reservoir, an electronic library of files and database systems. Systems may also include Hadoop-based platforms, data grids and cache services, MPP appliances, message queues, and internal or external clouds.
Self-Provisioning: On-demand analytics sandbox creation with a data lease for a specified duration set by the data worker and data manager.
Security and Access Control: Single metadata repository for unified access, security, lineage, and auditability for IT admins.