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...
Deep Learning (DL) models are being applied to use cases across all industries -- fraud detection in financial services, personalization in media, image...
The global health crisis accelerated the adoption of omnichannel shopping and fulfillment. Consumers spent $861.12 billion online with US merchants in 2020, up...
This is a co-authored post written in collaboration with Moritz Steller, AI Evangelist, at John Snow Labs. Watch our on-demand workshop, Extract Real-World...