Lumada DataOps: Data Catalog

Gain New Insights, Systematize Compliance, and Root Out Redundancy

Has your organization struggled to discover and document your data? Has protecting sensitive data, getting the right data into the hands of the right users and responding quickly to regulatory requests become imperative? Has rooting out redundant data to reduce licensing and storage costs and identifying bad copies become essential? Does your business thirst to gain value from all this data and drive new customer experiences, unlock new revenue streams, and streamline back-office operations? Welcome to the world of data overflow.

Introducing Data Catalog

Part of Hitachi’s Lumada DataOps, Data Catalog lets data engineers, data scientists and business users speed up time to value from captured data by accelerating metadata discovery and categorizing data. It permits data curators and stewards manage sensitive data. Also, it enables IT administrators eliminate unintended redundant data.

Data Discovery for Self-Service Analytics

Patented fingerprinting technology that leverages AI and machine learning (ML) automatically populates data catalogs. This approach reduces the manual effort required to discover and tag all enterprise data, leading to faster insights (see Figure 1).

• Discover all of your data across the enterprise: Automatically discover data across the enterprise, including “dark” data missed by manual tagging. 
• Ensure accurate data: ML-driven discovery and automated tagging, which can include user-created tag libraries, reduce risk of manual processing errors. 
• Access enterprise big data to drive insights: Access data of all types from across the enterprise without writing a line of code, eliminating the guesswork in how data can be combined before data preparation

Sensitive Data Risk Management

Automatically detect, tag and secure sensitive data across the enterprise, lowering the cost of regulatory compliance and reducing the risk of financial penalties. Rapidly respond to evolving regulations, such as the EU’s Global Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA).

• Immediately secure sensitive data:

  Automatically identify and secure sensitive data as it flows into or is created within your enterprise or data lake.

• Automate compliance: Track metadata

  required for regulatory compliance, such as intended use, content type and retention period for each dataset, to eliminate violation risk.

• Close security gaps: Integrate your

  existing data security and privacy solutions for access control, masking and encryption.

• Audit usage and modification:

  Gain full traceability for how users tag, curate, comment and search for data within the catalog.