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Databricks introduces a Free Tier for Lakeflow Connect, its built-in data ingestion service for unifying enterprise data across SaaS apps and databases.
Honeylove, a fashion-tech company, shares how they use Google BigQuery and Gemini to unify data, automate insights, and improve product quality and service efficiency.
This article explores why agentic analytics requires a well-governed, machine-readable semantic data layer as AI transforms how organizations interact with data.
Databricks announces the General Availability of Unity Catalog Business Semantics, an open and unified semantic layer for defining business metrics consistently across BI dashboards, developer workflows, and AI agents.
Databricks announces the 2026 Built-On Databricks Startup Challenge, a global competition for early-stage B2B startups building on the Databricks platform with over $1 million in prizes.
Databricks SQL introduces Default Warehouse, a generally available feature allowing admins to control which SQL warehouse is automatically selected for ad hoc queries.
Google Data Cloud recaps weekly product updates spanning databases, analytics, and AI integrations from January to March 2026.
Fizz.hu, a fast-growing Hungarian ecommerce marketplace, migrated from Microsoft SQL Server to Databricks SQL lakehouse architecture in just three months.
This article describes how HARDlight built a Databricks-native A/B testing analysis framework to automate and standardize mobile game experimentation at scale.
This article presents Lyft's two-step methodology for estimating long-term market-mediated effects of marketplace policy changes using a surrogacy and region-split approach.
This article explains what analytic applications are, how they work, and how they differ from traditional BI tools.
This post describes how baseball teams use Databricks to convert high-fidelity pitch data into game decisions through AI agents and a governed data lakehouse.