Building High-Quality and Trusted Data Products with Databricks
Offered By: Databricks via YouTube
Course Description
Overview
Explore the process of building production-ready, high-quality, and trusted data products in this 40-minute conference talk by Databricks specialists. Learn about the requirements and challenges in the data product lifecycle, and gain insights from field engineering teams' experiences. Discover how to leverage the Databricks Data Intelligence Platform to maximize data product value and usability for organizations aiming to become AI and data-driven. Gain recommendations for establishing standards and a trustworthy foundation of business truth to support data and AI objectives. Delve into additional resources such as the State of Data + AI Report and The Data Team's Guide to the Databricks Lakehouse Platform to further enhance your understanding of data product development.
Syllabus
Building High-Quality and Trusted Data Products with Databricks
Taught by
Databricks
Related Courses
Introduction to Artificial IntelligenceStanford University via Udacity Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Artificial Intelligence for Robotics
Stanford University via Udacity Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent