Power your predictive analytics with InfluxDB [Video]

In this session, Anais Dotis, Developer Advocate at InfluxData, dives into the world of time series data. Learn how to build robust data pipelines using HiveMQ, Quix, and InfluxDB, and understand how to perform anomaly detection using machine learning models from HuggingFace. Gain insights into the technical architecture, practical use cases in industrial IoT, and potential future developments like integrating large language models for enhanced data analysis and automation. Ideal for data engineers, data scientists, and IoT enthusiasts looking to operationalize time series data and anomaly detection in real-world scenarios.

00:00 Introduction
03:30 Agenda and Data Plumbing
05:17 Understanding Data Pipelines and HiveMQ
06:36 Time Series Data and InfluxDB
12:16 InfluxDB 3.0 and Apache Ecosystem
15:15 Building a Data Pipeline with HiveMQ, Quix, and InfluxDB
25:26 Anomaly Detection with Autoencoders
29:39 Real-World Challenges and HuggingFace Integration
31:20 Demo and Practical Applications
35:38 Next Steps and Community Resources
39:13 Q&A Session