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Import to Infino

Create a dataset for cross-source correlations or enrichment. Upload files or load sample datasets for prototyping and experimentation.

Access Import via Data → Connectors in the sidebar (click "Upload files" pill).

File Upload​

Upload Interface​

  • Drag & drop zone - Drop files directly or click to browse
  • Multi-file selection - Upload multiple files to create a single merged dataset
  • File format validation - JSONL, CSV, and JSON

File Processing​

  • Schema analysis - Automatic field type detection and preview
  • Merge capabilities - Multiple files combined into unified schema
  • Error validation - Duplicate file detection and format verification

Import Workflow​

You upload files:

  • Drag files to upload zone or click "Select Files" button
  • System automatically analyzes file schemas and shows preview
  • Click "Proceed to Import" to configure dataset settings
  • You are automatically redirected to Dataset Detail page upon completion

Sample Datasets​

Available Datasets​

  • Flight Data - Aviation records with departure/arrival information
  • E-commerce Data - Transaction and product data
  • Multiple categories - Various domain-specific datasets

Dataset Features​

  • Instant loading - No file upload required
  • Pre-configured schemas - Ready for immediate analysis
  • Status indicators - Shows "Added" badge for previously imported datasets

Sample Data Workflow​

You select datasets:

  • Click dataset cards to view details and preview
  • Click "Load This Dataset" to import
  • You are automatically redirected to Dataset Detail page upon completion

Context Enrichment​

After importing data, Fino automatically generates semantic context for your datasets:

  • Field Descriptions - AI-generated explanations of what each field contains
  • Synonyms - Alternative names to improve natural language query accuracy
  • Filters - Pre-defined query conditions

Access context via Data → Sources → FinoDB, select a dataset, then click the Context tab.

For detailed information, see Context Enrichment.

Use Cases for Infino Import​

Import data into Infino when:

  • Prototyping: Quick experimentation with sample datasets
  • Data enrichment: Store enriched results and more context
  • Cross-source correlations: Correlate across diverse data sources and formats
  • Edge Cases: Handle data that doesn't fit existing schemas

For production workloads, prefer querying data in place via Data → Connectors.

Transforms​

Transforms let you materialize repeatable queries into new datasets on a schedule (or on-demand).

  • Manage transforms: Navigate to Data → Transforms
  • Create from chat: In a Conversation, use Save or Transform (next to Ask / Generate / Raw)
    • Ask mode: saves the natural-language prompt as a fino transform
    • Generate mode: saves the generated SQL/QueryDSL
    • Raw mode: saves the raw SQL/QueryDSL you provided
    • Transform: saves + executes, then switches the conversation’s dataset selection to the output dataset

Import Jobs​

Monitor Jobs​

Navigate to Data → Sources and click Jobs button in the header to track import progress:

  • View job status (running, completed, failed)
  • Monitor real-time processing metrics
  • Access job history and error logs

Job Management​

  • Click job entries for detailed information
  • Track records processed, file sizes, processing time
  • Filter jobs by status