Python & InfluxDB for Time Series Analysis

Abstract

Time Series data is ubiquitous; whether you're doing DevOps, analyzing business metrics, or measuring the output of thousands of IoT sensors, you're going to need the right tools for the job. Learn why using a Time Series database makes sense, and how to integrate InfluxDB into your Python stack.

Talk Description

Time Series data is ubiquitous; whether you’re doing DevOps, analyzing business metrics, or measuring the output of thousands of IoT sensors, you’re going to need the right tools for the job. Time Series databases are designed specifically for this kind of data, so how can we integrate one with our Python stack? Learn how to use Python to collect data from both software applications and the physical world and store it in InfluxDB, as well as how to query the data and perform basic time series analysis.

About the Talk

About the Author

Noah is a Developer Evangelist at InfluxData, focused on DevOps with a dash of IoT. He has worked as a systems administrator, audio engineer, production coordinator for an animation studio, and as a software developer building DevOps tools. Noah holds a master’s degree from the Interactive Telecommunications Program at NYU, where he focused on augmented reality, physical computing, and interaction design.