Data and AI releases

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AWS Glue Data Quality delivers context-specific rule recommendations in seconds

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AWS Glue Data Quality now generates data quality rules in seconds, reducing the time to establish data quality checks for your tables in the AWS Glue Data Catalog. You get a ready-to-use set of rules with full coverage across every column, with no manual setup, so you can move from raw data to trusted data faster while authoring pipelines.

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Also shipped Sep 22, 2026AWS in September 2026 →

Shopify connector (Beta)

The Shopify connector is now available in Lakeflow Connect in Beta . Workspace admins can control access to this feature from the Previews page. The connector ingests e-commerce data such as products, orders, customers, inventory, fulfillments, and discounts from Shopify into Databricks. Authentication uses the Shopify OAuth client credentials grant.

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Lakebase backup schedule API (Beta)

You can now manage Lakebase backup schedules programmatically. The snapshot schedule API lets you read and set a root branch's automated snapshot cadences (daily, weekly, or monthly) and how long each cadence's snapshots are retained. This API is in Beta and available to all Lakebase workspaces. See Create a backup schedule .

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More from AWS Glue and Lake FormationEvery AWS Glue and Lake Formation release →

AWS Glue zero-ETL now captures archived Salesforce records

AWS Glue zero-ETL integrations for Salesforce now capture archived records in your target tables, giving you a complete replica of your Salesforce data for analytics and reporting. Archived records are identified and reflected accurately through the isArchived field, so your analytical data stays fully in sync with your Salesforce source.

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Apache Iceberg materialized views now support system-managed write protection

Today, AWS announces system-managed materialized views for Apache Iceberg. Materialized views let you precompute an expensive query once and reuse the result across engines. Because this result is an open Iceberg table in your data lake, anyone with write access can change it, either through the catalog or by writing to the files in Amazon S3.

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