Why is Anomaly Detection Important? Whether in retail, finance, cyber security, or any other industry, spotting anomalous behavior as soon as it happens...

This post is a continuation of the Disaster Recovery Overview, Strategies, and Assessment blog. Introduction A broad ecosystem of tooling exists to implement...

The lakehouse is a new data platform paradigm that combines the best features of data lakes and data warehouses. It is designed as...

There are many different data models that you can use when designing an analytical system, such as industry-specific domain models, Kimball, Inmon, and...

Breaking through the scale barrier (discussing existing challenges) At Databricks, we are hyper-focused on supporting users along their data modernization journeys. A growing...

Read Rise of the Data Lakehouse to explore why lakehouses are the data architecture of the future with the father of the data...

Get an early preview of O'Reilly's new ebook for the step-by-step guidance you need to start using Delta Lake. Incremental ETL (Extract, Transform...

Deep Learning (DL) models are being applied to use cases across all industries -- fraud detection in financial services, personalization in media, image...

Behind the growth of every consumer-facing product is the acquisition and retention of an engaged user base. When it comes to customer acquisition...