DatriseAI-first ETL

Excel File to Azure Data Lake Storage Integration

AI-first ETL from Excel File into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.

How Datrise loads Excel File into Azure Data Lake Storage

Datrise syncs Excel File's worksheets, rows, columns, headers, cell ranges, and workbooks into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.

Ideal for Azure lakehouse storage shared across Synapse and Databricks.

Endpoints

Excel File: Spreadsheet workbooks from exports and shared drives.

Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.

How Excel File entities map to Azure Data Lake Storage

Excel File entityAzure Data Lake Storage objectNotes
worksheetsexcel_file_worksheetsid PK · custom fields → nested struct/map fields in Parquet
rowsexcel_file_rowsid PK · linked to excel_file_worksheets
columnsexcel_file_columnsid PK · linked to excel_file_worksheets
headersexcel_file_headersid PK · linked to excel_file_worksheets

FAQ

How does Datrise handle Excel File's custom fields in Azure Data Lake Storage?

Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.

How does the Excel File to Azure Data Lake Storage sync stay up to date?

It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.

Related pipelines

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