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Databricks presents Spark Declarative Pipelines and Enzyme for incremental data processing at SIGMOD 2026.
Connected Sheets bridges BigQuery and Google Sheets, allowing business users to analyze petabytes of data without exporting CSVs or learning SQL.
Databricks announces comprehensive Iceberg capabilities including v3 GA, managed and foreign Iceberg support, and enhanced governance through Unity Catalog.
Google evolved its Dataflow platform to efficiently process massive datasets for machine learning and AI workloads.
Cloudflare built Town Lake, a unified data analytics platform, and Skipper, an AI agent, to solve data sprawl across multiple systems.
This post discusses Databricks' full stack approach for optimizing BI workloads through physical data layout optimization, semantic layers, and query efficiency techniques.
Lakebase introduces Change Data Feed (CDF), a native solution for streaming operational data into the Lakehouse.
Health Samurai and Databricks have created a unified FHIR-native platform that aggregates fragmented healthcare data from multiple sources and makes it accessible to analytics and operational tools without ETL complexity.
Pharmaceutical companies outperform at launch by compressing the time between data signals and commercial decisions through unified analytics platforms.
Octopus Energy re-architected its data pipeline to handle Half-Hourly Settlement regulations, achieving a 50x cost reduction.
The World Bank Group unified data and documents on Databricks to democratize access and accelerate decision-making.
Hugo unifies Grab's data ingestion workflows with Apache Flink, consolidating previously siloed platforms into a single self-service interface.
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