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Podium Data Enables 25x Acceleration in the Delivery of Enterprise Data to Business and Analytic Teams

Newly expanded search, exploration and publishing capabilities empower Podium users to pull custom-built data sets from enterprise data lake dramatically faster

/EIN News/ -- LOWELL, Mass., Jan. 19, 2017 (GLOBE NEWSWIRE) -- Podium Data today announces Podium 3.0, the latest release of Podium Data’s enterprise data lake management platform with dramatically expanded data preparation and publishing capabilities. “Podium’s customers have achieved a twenty-five-fold acceleration in delivery of new data to business users - from six months to less than a week - and a 40 percent reduction in data delivery costs by simplifying and speeding up the delivery of data to the business through a secure enterprise-scale data lake,” says Podium Data CEO Paul Barth.

Podium empowers data analysts and other analytically oriented business people to get data to do their jobs on a self-service, on-demand basis quickly and efficiently by eliminating hurdles in the data delivery process. Podium 3.0 now offers a range of improved capabilities over previous versions: self-service publishing, a new intuitive user interface, user-defined datasets, support for Spark and Spark SQL, and operational, security, and governance reporting based on Podium’s metadata. Podium 3.0 enables business users and data analysts to bring new data sources into a secure enterprise lake in less than a week, and build and retrieve custom data sets in an hour.

Pierre Peiclier, AVP of IT Architecture at Sun Life Financial, describes how his organization is using Podium 3.0:
“Last year, following Sun Life Financial’s acquisition of Assurant’s U.S. Employee Benefits group, it was clear that we needed a comprehensive solution that could help us quickly and effectively integrate a diverse set of IT systems and applications into a single well-organized enterprise data architecture. Podium 3.0 has empowered us to speed up the establishment of our new data infrastructure while ensuring that we have the tools we need to create value for our entire organization.”

A Real-World Data Lake Management System for End Users and IT Systems
Podium transforms the publishing process by addressing the needs of both end-user consumers accessing the data and the IT teams responsible for delivering data to the business. With release 3.0, these two critical target audiences can benefit from a new user interface, logical data groupings, expanded and improved metadata-driven reporting, and comprehensive publishing capabilities. Meanwhile, the platform represents transformational innovation in publishing, including replication to other Hadoop clusters, exporting files to a variety of targets, and custom data obfuscation, as well as expanded source capabilities.

Overall, Podium 3.0 represents a significant milestone in data lake innovation. End users have an array of tools and interface options that make using the data intuitive, logical, and accessible. Podium continues to integrate closely existing IT architectures, including mainframes, and to offer enhanced publishing and ingesting capabilities.

Major new features for end users include:

  • New user interface—Revamped end-user experience with intuitive navigation and logical access to capabilities, data, and metadata
  • Spark—Support for Spark compute engine, both in Explore and Prepare modules
  • Datasets—User-definable logical grouping of data, enabling flexible categorization of data by topics, user groups, systems and projects
  • In-line shortcuts—Access to in-line shortcuts for all actions
  • Publishing—Easy export of data in configurable formats for consumption in other environments, with automatic compliance via data masking rules
  • Metadata reporting—Podium now exposes its extensive metadata through reports and reporting views, supporting governance, operational, and security reporting needs

For IT system managers, new enhancements include:

  • Improvements to data ingestion and data lake administration
  • Expanded data sources including Parquet ingest, additional mainframe branch wiring support, and more
  • New Publish module
    • Export a file to multiple targets including S3, HDFS, and local
    • Replicate to another Hadoop cluster, including partitions and Hive objects
    • Publish to RDBMS supporting any protocol via the Podium Open Connector
    • Automatic application of obfuscation rules upon publish

Offering enterprise-grade security, Podium is able to ensure that access to data—as well as data protection and authentication—is in accordance with organizational protocols. Moreover, Podium 3.0 integrates with Active Directory and Kerberos, as well as provides for entity-level authorization via Podium impersonation in combination with Sentry/Ranger policies and/or HDFS access control lists.

Podium 3.0 is now available directly from Podium at Current customers have immediate access to the newest features as part of their existing subscription.

About Podium Data, Inc.
Podium Data is redefining enterprise data management with its practical, high-performance data lake management platform. Headquartered in Lowell, Massachusetts, Podium’s seasoned team of entrepreneurs has deep expertise in analytics, big data, and enterprise data management. A growing number of Fortune 500 companies use Podium to provide secure self-service access to enterprise data. For more information, go to and follow Podium on Twitter at @PodiumData.

Bill Baker, Baker Communications Group, LLC