New Use Cases: Transparent File Tables, KAPPA Data Services
Discover what’s new in Komprise Intelligent Data Management
Unstructured data is growing 20%+ a year, and most of it carries metadata that never gets used: DICOM headers, EXIF tags, ERP project codes, and other identifiers sit locked inside files, invisible to the SQL engines and AI pipelines that need them.
Join Komprise on September 17 for a live, 45-minute session on the new use cases now live on the Komprise Intelligent Data Management platform. With Komprise Field CTO Benjamin Henry, we’ll look at how Transparent File Tables and KAPPA data services turn that locked-away metadata into something AI pipelines and analytics tools can search, filter, and act on directly.
In this session, we’ll show you how to:
- Query file metadata as SQL-ready tables with Transparent File Tables, so data teams can pull unstructured data into Databricks, Snowflake, or Teradata without an ETL pipeline in between.
- Extract industry-specific header metadata with KAPPA data services, from DICOM and genomics BAM headers in healthcare to EXIF, XMP, and IPTC tags in media and entertainment.
- Define a custom metadata extraction function in a few lines of Python and let Komprise handle the infrastructure across billions of files.
- Store newly extracted metadata as searchable tags in the Global Metadatabase, so data scientists and researchers can curate precise datasets by keyword.
See both features in action against a real mixed-industry data estate. Whether you’re trying to feed governed, well-tagged unstructured data into your analytics stack or extract the industry-specific metadata your AI pipelines actually need, this session will show you what’s possible and explore other use cases made possible with Smart Data Workflows.
