Data Cataloging

Companies need the ability to use unstructured data to meet their business priorities.

Data Cataloging is a container native modern metadata management software that provides data insight for exabyte-scale heterogeneous file, object, backup, and archive storage on premises and in the cloud. The software easily connects to these data sources to rapidly ingest, consolidate, and index metadata for billions of files and objects.

Data Cataloging provides a rich metadata layer that enables storage administrators, data stewards, and data scientists to efficiently manage, classify, and gain insights from massive amounts of data. It improves storage economics, helps mitigate risk, and accelerates large-scale analytics to create competitive advantage and speed critical research.

Many companies face significant challenges to manage their data. Some difficult challenges that companies face include:

  • Pinpointing and activating relevant data for large-scale analytics.
  • Lacking the fine-grained visibility needed to map data to business priorities.
  • Removing redundant, trivial, and obsolete data.
  • Identifying and classifying sensitive data.
Note: The IBM Spectrum® Discover service name is used interchangeably with Data Cataloging.

Benefits of Data Cataloging

Data Cataloging can help you manage your unstructured data by reducing the data storage costs, uncovering hidden data value, and reducing the risk of massive data stores. See Table 1.

Table 1. Benefits of Data Cataloging
Optimize - Improve storage usage Analyze - Uncover hidden data value Govern - Mitigate risk and improve data quality Data Management
Decreases storage capital expenditure (CaPex) by facilitating data movement to colder, cheaper storage. Accelerates data identification for large-scale analytics. Perform data inspection and classification. Automate tags for custom insight.
Increases storage efficiency by eliminating trivial or redundant data. Operationalize tasks to reduce the burden of data preparation. Helps ensure that data is compliant with governance policies by labeling sensitive data. Create reports for analysis.
Reduces storage operating expenditure (OpEx) by improving storage administrator productivity. Orchestrates the ML/DL and Platform Symphony® MapReduce process. Helps reduce risk that is hidden in heterogeneous data sources. GUI search for real-time results Search content for fast discovery.