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Getting Started with Analytical Data Management

Here’s a quick overview of the steps to get started with Analytical Data management.

Step 1: Connect Your Data Source

Connect to your existing data warehouse or database:

Step 2: Apply Data Transformations (Optional)

Before distributing your data or making it available for an AI application, you can transform and curate it to meet your requirements. Vendia provides compute capabilities without requiring additional code:

Data Filtering

Apply row-based filters to create bespoke AI-ready datasets. You can filter data during ingestion or after ingesting all data into Vendia tables by creating new filtered (derived) Vendia tables:

  • Filter by date ranges, regions, or business units
  • Create tenant-specific or customer-specific datasets
  • Apply conditional logic to include/exclude specific records

Dynamic Data Masking

Protect sensitive information while maintaining data utility. Like filtering, masking can be applied during ingestion or after ingesting all data into Vendia tables by creating new filtered (derived) Vendia tables:

  • Mask personally identifiable information (PII)
  • Redact confidential business data

Data Joins

Combine datasets from multiple sources to create enriched data products. Note: Data joins require first ingesting your data into Vendia tables, then creating new combined tables:

  • Join tables from the same data source
  • Combine data from different connected sources
  • Create unified views across organizational boundaries
  • Build comprehensive AI-ready datasets for analytics

Workflow Options

Option 1: Transform During Ingestion - Apply filtering and masking rules as you ingest data from your source systems.

Option 2: Ingest Then Transform - Ingest all data into Vendia tables first, then create new filtered/masked (derived) Vendia tables.

These transformations ensure your shared data meets both your partners’ or AI based application or workflow and your organization’s governance requirements.

Step 3: Choose Your Sharing Method

Option A: Share with Partners on Vendia Create AI-ready tables for collaborative data enrichment and real-time updates.

Option B: Distribute to External Consumers Create AI-ready data products in formats like Apache Iceberg, Delta Share, or CSV for platform-agnostic access.

Step 4: Invite Partners and Manage Access

Send email invitations to partners and configure access controls. Monitor usage and update permissions as needed.

Next Steps