Uploaded February 2026 | Updated September 2026, 3 weeks ago
Databricks platform release notes: docs.databricks.com/aws/en/release-notes/product
Want some pre made data? Check out Caspers Kitchen for a 4 click deployment here: github.com/databricks-solutions/caspers-kitchens
Loved this podcast but wanted it on spotify? open.spotify.com/show/1HVAzoA2A9nHfayMlRS81i
Hated this podcast? Why not replace us with an RSS feed: docs.databricks.com/aws/en/release-notes/#databricks-release-notes-feed
00:00 Intro
00:36 New Connectors in Databricks
05:15 Databricks Assisstant
10:57 forEachBatch() in SDP
15:38 Foundation Models in Databricks
19:26 Delta Sharing to Iceberg
22:06 Knowledge Assistant is GA
27:05 Lakebase Autoscaling
31:52 Rating
33:53 What even is this
Databricks platform release notes: docs.databricks.com/aws/en/release-notes/product
Want some pre made data? Check out Caspers Kitchen for a 4 click deployment here: github.com/databricks-solutions/caspers-kitchens
Loved this podcast but wanted it on spotify? open.spotify.com/show/1HVAzoA2A9nHfayMlRS81i
Hated this podcast? Why not replace us with an RSS feed: docs.databricks.com/aws/en/release-notes/#databricks-release-notes-feed
00:00 Intro
00:36 New Connectors in Databricks
05:15 Databricks Assisstant
10:57 forEachBatch() in SDP
15:38 Foundation Models in Databricks
19:26 Delta Sharing to Iceberg
22:06 Knowledge Assistant is GA
27:05 Lakebase Autoscaling
31:52 Rating
33:53 What even is this








![DAIWT Paris 2025: Replay Keynote
[Keynote en anglais] David Meyer, VP Produits chez Databricks, présente la Data Intelligence Platform: une plateforme unifiée qui simplifie le développement et le déploiement d’agents IA grâce à Unity Catalog pour la gouvernance des données et de l’IA, et une stack ouverte intégrée. La plateforme inclut LakeFlow (ETL), DBSQL (data warehousing) et le nouveau Lakehouse transactionnel, pour offrir l’analytics avancé et l’IA à tous les utilisateurs.
Chapitres:
00:06 : Introduction : l’IA et le problème des silos
03:21 : Le concept Lakehouse et la gouvernance unifiée
06:14 : Agent Bricks : simplifier les agents IA
08:18 : La Data Intelligence Platform
10:45 : Témoignage client : Flow Health
19:15 : LakeFlow : moteur ETL principal
25:02 : DBSQL : l’entrepôt de données
29:57 : Lakebase : base de données dans le lakehouse
35:20 : Applications Databricks et AI/BI
41:24 : Conclusion DAIWT Paris 2025: Replay Keynote](https://i.ytimg.com/vi/yyQ8ck6ff7w/mqdefault.jpg)

