Anais Dotis-Georgiou

Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.

Anais Dotis-Georgiou

Anais Dotis-Georgiou

Anais Dotis-Georgiou is a Developer Advocate for InfluxData with a passion for making data beautiful with the use of Data Analytics, AI, and Machine Learning. She takes the data that she collects, does a mix of research, exploration, and engineering to translate the data into something of function, value, and beauty. When she is not behind a screen, you can find her outside drawing, stretching, boarding, or chasing after a soccer ball.

How to Write Points from CSV to InfluxDB

Telegraf is InfluxData’s plugin-driven server agent for collecting and reporting metrics. There are over 200 input plugins, which means there’s a lot of ways to get data into InfluxDB. However, I frequently see new Influx users inquiring about how to …

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How to Use InfluxDB’s Holt-Winters Function for Predictions

Welcome to Part Three of this three-part blog post series. To understand Part Three, I suggest reading Part One and Two first. In Part One, we covered: When to use Holt-Winters How Single Exponential Smoothing works A conceptual overview of optimization …

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Finding More Hidden Gems in Holt-Winters

Welcome back to this three-part blog post series on Holt-Winters and why it’s still highly relevant today. To understand Part Two, I suggest reading Part One, in which we covered: When to use Holt-Winters; How Single Exponential Smoothing works; A conceptual …

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When You Want Holt-Winters Instead of Machine Learning

Machine Learning (ML) gets a lot of hype, but its classical predecessors are still immensely powerful, especially in the time-series space. Error, Trend, Seasonality Forecast (ETS), Autoregressive Integrated Moving Average (ARIMA) and Holt-Winters are three classical methods that are not …

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A UX Review of Flux Joins vs. Pandas Joins

InfluxData recently released the latest versions of Chronograf and InfluxDB. With them comes the technical preview of Flux. Flux is the new query language and engine for time series data. The documentation for Flux can be found here. In a …

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InfluxDB: How to Do Joins, Math across Measurements

If you’re part of the InfluxData community, then you’ve probably wanted to perform math across measurements at some point. You did some googling and stumbled on this GitHub issue 3552 and shed a small tear. Well, today I get to …

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Why Use K-Means for Time Series Data? (Part Three)

In Part One of this series, I give an overview of how to use different statistical functions and K-Means Clustering for anomaly detection for time series data. In Part Two, I share some code showing how to apply K-means to …

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Configuring the Docker Telegraf Input Plugin

Thankfully, monitoring my containers with InfluxDB was surprisingly easy. Unfortunately, deriving value from container data is not. Understanding how to manage and allocate container resources is far from easy and DevOps still remains largely mysterious to me. My lack of …

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Why Use K-Means for Time Series Data? (Part Two)

In “Why use K-Means for Time Series Data? (Part One)“, I give an overview of how to use different statistical functions and K-Means Clustering for anomaly detection for time series data. I recommend checking that out if you’re unfamiliar with …

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Why Use K-Means for Time Series Data? (Part One)

As an only child, I spent a lot of time by myself. Oftentimes my only respite from the extreme boredom of being by myself was daydreaming. I would meditate on objects in my environment and rotate them around in my …

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