This demo-based session walks through each step in the pipeline, emphasizing best practices ranging from combining Azure Machine Learning with an Apache Spark component, such as Azure Databricks, to managing data and models across environments.
Building an End-to-End ML Pipeline for Big Data
Databricks is the data and AI company. Thousands of organizations worldwide rely on Databricks’ open and unified platform for data engineering, machine learning and analytics. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to solve the world’s toughest problems.