Shanku Niyogi of Databricks walks through the architecture behind Lakebase, LTAP and Lakehouse//RT – and renames an industry workaround in a relatable way that acknowledges the pain points experienced ...
Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...
This is a performance testing framework for Spark SQL in Apache Spark 2.2+. The framework contains twelve benchmarks that can be executed in local mode. They are organized into three classes and ...
MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...
The Microsoft Azure Data Fundamentals certification earned by passing the DP-900 exam — validates foundational knowledge of core data concepts and Microsoft Azure data services. In 2026, as data ...
MVM ≈ 45% of ECM by table count, but retains 50% of attributes and 70% of FK relationships — confirming the MVM keeps the most join-heavy entities while shedding low-traffic reference tables. Install ...
At Data + AI Summit, Databricks CEO Ali Ghodsi unveiled LTAP, a new architecture that collapses the 40-year unification ...
LakeFusion MDM is now available as a Databricks App, letting customers install and deploy governed master data ...
ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results