Predictive Maintenance on IoT Data for Early Fault Detection with Delta Lake

Explore predictive maintenance (PdM) for early fault detection using IoT data and Delta Lake in this one-hour tech talk. Discover how PdM leverages sensor readings and advanced analytics to optimize maintenance tasks, resulting in significant cost savings across industries like manufacturing, transportation, and healthcare. Learn about the growing global market for PdM and its crucial role in Industry 4.0. Understand how Databricks' collaborative Data and Analytics platform facilitates PdM use cases by providing a unified solution for data ingestion, transformation, exploration, and machine learning. Gain insights into PdM challenges, data platform characteristics, asset transaction capabilities, storage architecture, and various data processing stages. Participate in a live Q&A session and explore real-world applications through demonstrations and technical presentations.

Introduction
Agenda
What is Predictive Maintenance
Challenges
Data Platform Characteristics
Asset Transaction Capability
Storage
Architecture
Personas
Notebooks
Data Set
Streaming
Data ingestion
Data refinement
Data modeling
ML Flow
Summary
Questions