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Unlocking near real-time analytics with petabytes of transaction data using Amazon Aurora Zero-ETL integration with Amazon Redshift and dbt Cloud

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While customers can perform some basic analysis within their operational or transactional databases, many still need to build custom data pipelines that use batch or streaming jobs to extract, transform, and load (ETL) data into their data warehouse for more comprehensive analysis. Create dbt models in dbt Cloud.

ETL 137
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What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads

databricks

Powered by Data Intelligence, Genie learns from organizational usage patterns and metadata to generate SQL, charts, and summaries grounded in trusted data. Lakebridge accelerates the migration of legacy data warehouse workloads to Azure Databricks SQL.

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Build a conversational data assistant, Part 1: Text-to-SQL with Amazon Bedrock Agents

AWS Machine Learning Blog

For most organizations, this gap remains stubbornly wide, with business teams trapped in endless cycles—decoding metric definitions and hunting for the correct data sources to manually craft each SQL query. In Part 1, we focus on building a Text-to-SQL solution with Amazon Bedrock , a managed service for building generative AI applications.

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Mosaic AI Announcements at Data + AI Summit 2025

databricks

Agents deployed on AWS, GCP, or even on-premise systems can now be connected to MLflow 3 for agent observability. AI Functions in SQL: Now Faster and Multi-Modal AI Functions enable users to easily access the power of generative AI directly from within SQL.

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Announcing Google’s Gemma 3 on Databricks

databricks

You can also run scalable batch inference by sending a SQL query to your table. Additionally, the newly released MLflow 3 allows you to evaluate the model more comprehensively across your specific datasets.

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Query Amazon Aurora PostgreSQL using Amazon Bedrock Knowledge Bases structured data

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At AWS re:Invent 2024, we announced Amazon Bedrock Knowledge Bases support for natural language querying to retrieve structured data from Amazon Redshift and Amazon SageMaker Lakehouse. This understanding allows the service to generate accurate SQL queries from natural language questions.

ETL 106
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AWS at Databricks Data + AI Summit 2025

databricks

AWS’ Legendary Presence at DAIS: Customer Speakers, Featured Breakouts, and Live Demos! Amazon Web Services (AWS) returns as a Legend Sponsor at Data + AI Summit 2025 , the premier global event for data, analytics, and AI.

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