Using Lakehouse for Life Changing Outcomes
OVERVIEW
EXPERIENCE | In Person |
---|---|
TYPE | Breakout |
TRACK | Data Engineering and Streaming |
INDUSTRY | Health and Life Sciences, Manufacturing |
TECHNOLOGIES | Governance |
SKILL LEVEL | Intermediate |
DURATION | 40 min |
DOWNLOAD SESSION SLIDES |
In the era of Industry 4.0, the convergence of data engineering, IoT, and manufacturing has unlocked opportunities for innovation. At Lifeblood, we have leveraged these components to uplift automation capabilities in our manufacturing unit and developed an in-house robotic solution to process clinical blood components. Join this session to understand a forward-thinking and scalable solution tailored for the life sciences industry. We will discuss: The role of data engineers in creating scalable and reusable solutions by collaborating with machine engineers; processing over a million messages per day using DLT, ready for reporting in near real time; decision making with real-time insights from reporting and event monitoring on a manufacturing floor; strategies to govern data using Unity Catalog, ensuring data integrity and compliance with lifeblood regulations; showcase our solution to monitor security alerts (SecOps) and cost (FinOps) across the Databricks workspace.
SESSION SPEAKERS
Aman Sehgal
/Data Engineer
Lifeblood
Noel Hanssens
/Chief Data Officer
Lifeblood