DatriseAI-first ETL

Salesforce Health Cloud Amazon Athena

AI-first ETL from Salesforce Health Cloud into Amazon Athena. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Health Cloud into Amazon Athena

Datrise syncs Salesforce Health Cloud's contacts, accounts, deals, activities, and lifecycle events 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

Salesforce Health Cloud: Healthcare CRM for accounts, compliance, and field engagement.

Amazon Athena: Serverless SQL over S3 data lake tables.

How Salesforce Health Cloud entities map to Amazon Athena

Salesforce Health Cloud entityAmazon Athena objectNotes
contactssalesforce_health_cloud_contactsid PK · custom fields → struct/map columns in Parquet
accountssalesforce_health_cloud_accountsid PK · linked to salesforce_health_cloud_contacts
dealssalesforce_health_cloud_dealsid PK · linked to salesforce_health_cloud_contacts
activitiessalesforce_health_cloud_activitiestimestamp events

FAQ

How does Datrise handle Salesforce Health Cloud'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 Salesforce Health Cloud 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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