Vertica Blog

Vertica Blog

predictive analysis

A key with Anomaly Description written on it

Detect Outliers Using Isolation Forest

George Larionov
August 2, 2022

The Isolation Forest (IForest) algorithm is a powerful and scalable algorithm for identifying outliers in your data. It uses a unique approach which focuses directly on characterizing outliers instead of normal data points. Specifically, IForest focuses on the two quantitative properties of outliers: they are few and different. A scalable implementation of the Isolation Forest algorithm is available...
Electronic medical record on digital smart device

Vertica in Good Health: Ingesting, Securing, and Analyzing Healthcare Data

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
September 29, 2020

Electronic Medical Records and new personal healthcare technology, particularly medical devices, generate a huge amount of data. Organizations including Cerner and Philips Healthcare rely on Vertica for data analysis. How can Vertica help you analyze this data? Vertica excels at data ingest and provides hundreds of built-in SQL and analytic functions with broad integration with...
Business man showing profitable stock market graph hologram over a tablet.

Finding Patterns in Stock Prices With Vertica

Bryan Herger, Vertica Big Data Solution Architect at Micro Focus
January 21, 2020

Vertica can ingest data from many sources and enable SQL-based preparation and analytics. Here is another real-world example: Let's use Vertica to find patterns in a public data set of stock and (Exchange-Traded Fund) ETF prices from Kaggle. I’ll use the following data source in this post: https://www.kaggle.com/borismarjanovic/price-volume-data-for-all-us-stocks-etfs This data source provides several thousand files...