Using Lakehouse for Life-Changing Outcomes in Manufacturing and Life Sciences
Offered By: Databricks via YouTube
Course Description
Overview
Discover how Lifeblood leverages data engineering, IoT, and manufacturing in this 31-minute conference talk to revolutionize automation in their clinical blood component processing. Learn about scalable solutions for the life sciences industry, including processing millions of messages daily using DLT for near real-time reporting, making decisions with real-time insights from manufacturing floor data, and implementing data governance strategies with Unity Catalog. Explore how Lifeblood monitors security alerts and costs across their Databricks workspace, and gain insights into the collaboration between data engineers and machine engineers in creating innovative robotic solutions for the healthcare sector.
Syllabus
Using Lakehouse for Life Changing Outcomes
Taught by
Databricks
Related Courses
内存数据库管理openHPI CS115x: Advanced Apache Spark for Data Science and Data Engineering
University of California, Berkeley via edX Processing Big Data with Azure Data Lake Analytics
Microsoft via edX Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera Google Cloud Big Data and Machine Learning Fundamentals 日本語版
Google Cloud via Coursera