Real-time Point-of-Sale Analytics With a Data Lakehouse
Disruptions in the supply chain – from reduced product supply and diminished warehouse capacity – coupled with rapidly shifting consumer expectations for seamless...
How Incremental ETL Makes Life Simpler With Data Lakes
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...
Improving On-Shelf Availability for Items With AI Out of Stock Modeling
This post was written in collaboration with Databricks partner Tredence. We thank Rich Williams, Vice President Data Engineering, and Morgan Seybert, Chief Business...
Solution Accelerator: Multi-touch Attribution
Behind the growth of every consumer-facing product is the acquisition and retention of an engaged user base. When it comes to customer acquisition...
Getting Started With Ingestion into Delta Lake
Ingesting data can be hard and complex since you either need to use an always-running streaming platform like Kafka or you need to...
How to Build a Scalable Wide and Deep Product Recommender
Download the notebooks referenced throughout this article. I have a favorite coffee shop I've been visiting for years. When I walk in, the...
How to Simplify CDC With Delta Lake's Change Data Feed
Try this notebook in Databricks Change data capture (CDC) is a use case that we see many customers implement in Databricks – you...
Machine Learning-based Item Matching for Retailers and Brands
Item matching is a core function in online marketplaces. To ensure an optimized customer experience, retailers compare new and updated product information against...
Building Forward-Looking Intelligence With External Data
This post was written in collaboration with the Foursquare data team. We thank co-author Javier Soliz, sales engineer specializing in data engineering and...
Fine-Grained Time Series Forecasting at Scale With Facebook Prophet and Apache Spark: Updated for Spark 3
Advances in time series forecasting are enabling retailers to generate more reliable demand forecasts. The challenge now is to produce these forecasts in...