DatriseAI-first ETL

Microsoft SharePoint to Amazon Athena Integration

AI-first ETL from Microsoft SharePoint into Amazon Athena. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft SharePoint into Amazon Athena

Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into Amazon Athena as partitioned Parquet in S3 exposed as an Athena table. Flexible or custom fields land in struct/map columns in Parquet, and timestamps such as created, updated, and status changes are typed as timestamp.

Sync is incremental: Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog, so re-runs update only what changed. Hive-style partitioning by load date so Athena scans only new data. Athena bills per byte scanned and small files hurt, so Datrise compacts to right-sized Parquet rather than many tiny objects.

Ideal for serverless SQL over an S3 lake without a running warehouse.

Endpoints

Microsoft SharePoint: Document libraries and team site content.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Microsoft SharePoint entities map to Amazon Athena

Microsoft SharePoint entityAmazon Athena objectNotes
sitesmicrosoft_sharepoint_sitesid PK · custom fields → struct/map columns in Parquet
listsmicrosoft_sharepoint_listsid PK · linked to microsoft_sharepoint_sites
list itemsmicrosoft_sharepoint_list_itemsid PK · linked to microsoft_sharepoint_sites
documentsmicrosoft_sharepoint_documentsid PK · linked to microsoft_sharepoint_sites

FAQ

How does Datrise handle Microsoft SharePoint's custom fields in Amazon Athena?

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

How does the Microsoft SharePoint to Amazon Athena sync stay up to date?

It runs incrementally — Datrise uses writes new Parquet partitions and registers them in the Glue Data Catalog.

Related pipelines

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