thatDot Blog
What Is Categorical Data?
Data comes in two flavors: Numeric and Categorical. Numeric data is easy, it’s numbers. Categorical data is everything else. As...
Network Log Analysis Using Categorical Anomaly Detection
The distributed nature of modern virtualized software architectures has created added complexity in the networking stack, making it difficult...
thatDot Anomaly Detector Enhancements: Visualizations and Data Transformations
Since the launch of thatDot’s Real-time Anomaly Detector for Categorical data in November, we have received numerous feature requests...
Reducing False Positive Alerts With Contextual Anomaly Detection
Too many false positives! Traditionally, monitoring alerts are produced comparing metrics against thresholds to identify behavior outside the norm. This...
The World’s First Real-time Anomaly Detector For Categorical Data
An Industry First: Anomaly Detection for Categorical Data in Real-Time thatDot is excited to share the general availability of the...
Draw Connections to Build Insights
6 mins. read In the first post in this series, we introduced the term “3D Data” as a mnemonic and...
Modernizing ETL For Cloud
Image Courtesy of jhmrad.com Cloud architectures enable and encourage a new level of integration with 3rd party systems and data...
3D Data
6 Minutes read. Africa is bigger than Greenland. A LOT bigger! You already knew that—but you also know that the...
Defining Video Observability
7 Minutes Read Imagine if the next time your video streaming operations dashboard-of-choice warns you that 100 users experienced video...
Introducing thatDot
That word… ”that.” It’s how you point with a word. What better way to express what you mean than...