SREday Amsterdam 2024
Premiere 2024-11-21
In this talk, we will learn about how to build a data streaming pipeline that performs anomaly detection (Keras Autoencoders) and forecasting (Holt Winters) of generator data with Quix, Hugging Face, and InfluxDB.
InfluxData
In this talk, we will learn about the advantages of Apache Arrow and Arrow Flight as a data format and framework for transport of large datasets. Then we'll learn how to leverage the Arrow Flight Go Client to build an InfluxDB Go Client and use it.
In this talk, we will learn about the advantages of Apache Arrow and Arrow Flight as a data format and framework for transporting large datasets. Then, we'll explore how to leverage the Arrow Flight Python Client to build an InfluxDB Python Client, work with Pandas and InfluxDB, and create a CLI.
Why do you need a specialized database for time-series data? How do I know if a time series database is right for my application? These are questions on top of every developer's mind when building their applications architecture for time series data, and this presentation, we'll help answer them for you.
The Internet of Things (IoT) is increasingly driven by sensor data, with devices taking measured actions based on everything from wind speed and direction, vital body functions, illumination intensity, and temperature. Learn how to build a functional IoT monitoring application built on InfluxDB.
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