Building robust, reliable, and highly performant data pipelines is critical for ensuring downstream analytics and AI success. Despite this need, many organizations struggle on the pipeline front, ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
Databricks Inc. today introduced two new products, LakeFlow and AI/BI, that promise to ease several of the tasks involved in analyzing business information for useful patterns. LakeFlow is designed to ...
Qualytics partners with Databricks to deliver proactive, automated data quality natively on the Databricks Data Intelligence Platform, enabling trusted, AI-ready data without data leaving the ...
Agentic data preparation startup Prophecy Inc. today announced a new “rapid deployment option” for companies that need to get new data pipelines up and running for their most urgent and critical new ...
Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
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Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving engines of insight. In the fast-evolving landscape of enterprise data ...
Superblocks, the leading platform for secure enterprise application development, is announcing an expanded partnership with Databricks, yielding a native integration between Superblocks’ multi-modal ...
Data lakehouse provider Databricks is introducing four new updates to its portfolio to help enterprises have more control over the development of their agents and other generative AI-based ...
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