We are excited to announce that the Databricks Community has been nominated for Best Customer Support Community in the CMX Community Industry Awards! This nomination is a testament to the incredible collaboration and support within our community. Fr...
Join us for the return of the Virtual Learning Festival! Mark your calendars from 9 April - 30 April 2025! Upskill across data engineering, data analysis, machine learning, and generative AI. Join the thousands who have elevated their career with...
Learn the foundational principles of the lakehouse architecture with three short self-paced videos The architecture of your data platform directly affects the reliability, performance and scalability of your data and AI initiatives. The lakehouse arc...
Be part of a global movement! Connect with 22,000 data enthusiasts at 700+ sessions, keynotes, and hands-on training at this year’s Data + AI Summit. Whether you’re into data intelligence, governance, AI, or data warehousing, this is your chance to l...
The Databricks Developer Relations team is excited to share that we are hitting the road and bringing a series of community meetups to you called DevConnect! These events will be hosted around the globe and tailored specifically for Data engineers. T...
Meet our Databricks Community Champion, Stefan Koch! From a career in law enforcement to becoming a Principal Solution Architect at b.telligent, Stefan’s journey is nothing short of inspiring. Read on to learn about his experience, favorite Databri...
In this article, I share a #data-driven method for assessing and adopting new technologies and steps for creating or evaluating a strong proposal. This includes using statistical measures to evaluate ...
LakeFusion’s MDM solution delivers a single source of truth by leveraging advanced entity resolution and deduplication algorithms. By unifying fragmented data across systems, we ensure accurate, consi...
Customers with high-frequency time series data often need forecasts at a finer granularity based on their data sources. For example, an energy supply company may receive energy demand data every 15 mi...
Machine learning workload can be time-consuming due to training data processing such as ETL and feature engineering and iterative model training steps. Recent ML Runtime releases have made both faster...