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 a timely manner and at a level of granularity that allows the business to make precise adjustments to product inventories. Leveraging Apache Spark™ and Facebook Prophet, more and more enterprises facing these...
Operationalize 100 Machine Learning Models in as Little as 12 Weeks with Azure Databricks
In rapidly changing environments, Azure Databricks enables organizations to spot new trends, respond to unexpected challenges and predict new opportunities. Organizations are leveraging machine learning and artificial intelligence (AI) to derive insight and value from their data and to improve the accuracy of forecasts and predictions. Data teams are using Delta Lake to accelerate ETL...
