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...
Date & Time:8 April (Tuesday), 11 AM – 3 PM SGT Registration Page:Register Here: https://events.databricks.com/FY260408-SD-AIBIforSelf-ServiceAnalytics What You'll Learn:In this training session, you will learn how to self-serve business insights ...
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...
Meet Takuya Omi (尾美拓哉), a passionate Data Engineer at NS Solutions and a valuable member of the Databricks Community. Takuya's career journey began in the marketing division of a financial institution, where his early work with SQL and machine learni...
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...