Big Data Governance
Democratize Data With Confidence
Quality and Consistency for All Your Needs
Democratization does work with confidence in the data. Visual data profiling lets you easily spot outliers early in the cleansing and analysis process, safeguarding from dirty data. Detailed data statistics illuminate issues with quality, completeness and throughput.
Data Policies and Standards? You Got It.
Big data pipelines need to ensure all users work from a single source of truth. In Datameer, multi-stage big data analytics pipelines use secure data views and apply policies at every stage of the pipeline. These can be configured to expose a subset of fields and apply masking and anonymization (or aggregation) to sensitive data fields.
Data Security and Privacy Are Here For You
With authentication, authorization, obfuscation and encryption capabilities, Datameer’s robust security features ensure you can combat potential security issues and protect personally identifiable information, keeping you in full compliance. Masking big data is easy with secure hash, MD5 and randomization functions.
Data lineage allows you to visually understand and track every step that led to your final result, through each individual piece of the pipeline. You can also understand who did what and when, to your analytic pipeline model with audit logs that capture every login, changes and other privileged actions.
Retention and Archiving
Ensure you’re properly managing your data with Datameer’s big data retention policy rules. For each data set, easily configure rules to determine how long to keep data and when to purge. Security rules allow retired data to be removed, retained for a time, or manually removed after system administrator approval.