Leveraging Diskover and Snowflake Intelligence to Transform Unstructured Data into Business Insights

Stop Wrestling with Data Prep: A Unified Path to Ingesting Metadata and Content into Snowflake

Discover how to simplify your data pipelines by easily ingesting both file metadata and data blobs, from on-premises or the cloud, into Snowflake to power advanced analytics and AI.

To get the full value out of Snowflake Intelligence, you need more than just structured data; you need the rich context hidden in your unstructured files. However, accessing this data is a challenge when it is scattered across hybrid environments, trapped in legacy on-premises storage or siloed in cloud buckets.

Building pipelines to extract metadata and move heavy file content (blobs) from these diverse sources into the Data Cloud has traditionally been a complex, brittle, and manual process.

It doesn’t have to be.

In this session, Diskover and Snowflake demonstrate how to dramatically simplify the ingestion process. We will show you how the Diskover platform acts as a unified bridge, seamlessly delivering two critical assets to Snowflake: File Metadata for instant visibility and context, and Data Blobs for deep content analysis. By streamlining these workflows, you can stop spending time on plumbing and start delivering AI-ready datasets that drive real business insights.

What You Will Learn:
 

• Simplified Ingestion of Metadata & Blobs: See how Diskover removes the complexity of data prep by automating the extraction and delivery of both granular file attributes (metadata) and full file content (blobs) directly into Snowflake, regardless of whether your data lives on-prem or in the cloud.
• Fueling Snowflake Intelligence: Learn how feeding both the "context" (metadata) and the "content" (blobs) into Snowflake Intelligence allows for better outcomes.
• Hybrid Data Strategy: Discover how to treat your entire storage landscape, NAS, S3, and object storage as a single source of truth for your AI initiatives.