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1
Introduction
2
Agenda
3
What is Predictive Maintenance
4
Challenges
5
Data Platform Characteristics
6
Asset Transaction Capability
7
Storage
8
Architecture
9
Personas
10
Notebooks
11
Data Set
12
Streaming
13
Data ingestion
14
Data refinement
15
Data modeling
16
ML Flow
17
Summary
18
Questions
Description:
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.

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

Databricks
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