Menu
Datameer adds governance tools for Hadoop analytics

Datameer adds governance tools for Hadoop analytics

Data-profiling tools help companies find and fix issues such as inconsistent or invalid data

Datameer's new governance tools for Hadoop analytics

Datameer's new governance tools for Hadoop analytics

Datameer is giving its native Hadoop environment new data governance capabilities in an effort to help organizations tackle data quality, security and compliance problems stemming from the growing use of analytics tools by business users.

Datameer's analytics application is designed specifically to make "big data simple for everyone," in the company's own words, and it combines self-service data integration, analytics and visualization features. As multiple departments and users within an organization get involved, however, it can become increasingly difficult for analysts and administrators to navigate all the resulting data pipelines.

Data silos are one potential consequence, as are regulatory-compliance risks when sensitive data sets are being used.

Datameer's new governance module is designed to give businesses transparency into their data pipelines while providing IT with tools to audit diligently for compliance with internal and external regulations.

New data-profiling tools, for example, let companies find and transparently fix issues like dirty, inconsistent or invalid data at any stage in a complex analytics pipeline. Datameer's capabilities include data profiling, data statistics monitoring, metadata management and impact analysis.

Datameer also supports secure data views and multi-stage analytics pipelines, and it provides LDAP/Active Directory integration, role-based access control, permissions and sharing, integration with Apache Sentry 1.4, and column and row anonymization functions.

For compliance with regulatory imperatives such as Sarbanes-Oxley and HIPAA, Datameer offers features that track data lineage, for example. Auditing functionality includes user-action logs and allows external systems to be notified about user and system audit events as they happen.

Finally, flexible retention rules allow each imported data set's retention policy to be configured individually. Security rules permit retired data to be instantly removed, retained until a specified time, or manually removed after system administrator approval.


Follow Us

Join the newsletter!

Or

Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.

Membership is free, and your security and privacy remain protected. View our privacy policy before signing up.

Error: Please check your email address.

Tags governancebusiness managementdatabasesData managementsoftwareapplicationsHortonWorks

Featured

Slideshows

EDGE 2018: Kiwis kick back with Super Rugby before NZ session

EDGE 2018: Kiwis kick back with Super Rugby before NZ session

New Zealanders kick-started EDGE 2018 with a bout of Super Rugby before a dedicated New Zealand session, in front of more than 50 partners, vendors and distributors on Hamilton Island.‚Äč

EDGE 2018: Kiwis kick back with Super Rugby before NZ session
EDGE 2018: Kiwis assess key customer priorities through NZ research

EDGE 2018: Kiwis assess key customer priorities through NZ research

EDGE 2018 kicked off with a dedicated New Zealand track, highlighting the key customer priorities across the local market, in association with Dell EMC. Delivered through EDGE Research - leveraging Kiwi data through Tech Research Asia - more than 50 partners, vendors and distributors combined during an interactive session to assess the changing spending patterns of the end-user and the subsequent impact to the channel.

EDGE 2018: Kiwis assess key customer priorities through NZ research
Show Comments