YoVDO

Amplifying Value of Timeseries by Combining Seeq and Databricks

Offered By: Databricks via YouTube

Tags

Databricks Courses Artificial Intelligence Courses Data Science Courses Machine Learning Courses Data Engineering Courses Industrial IoT Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the synergy between Databricks' cloud lakehouse and Seeq's time-series analytics in this 35-minute conference talk. Learn how Chevron Phillips Chemical Company leveraged these technologies to enhance their industrial IoT analytics and machine learning capabilities. Discover technical patterns, best practices, and valuable lessons for scaling up data engineering, data science, and AI applications in industrial settings. Gain insights into novel business use cases and the significant benefits achieved by integrating Seeq and Databricks. Delivered at an intermediate technical level, this presentation showcases the practical implementation and business value of combining specialized time-series analytics with large-scale compute solutions in the evolving cloud lakehouse landscape.

Syllabus

CPChem: Amplifying Value of Timeseries by Combining Seeq and Databricks


Taught by

Databricks

Related Courses

Introduction to Artificial Intelligence
Stanford 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