Vertica Blog

Vertica Blog

machine learning

surprised data analyst

What You Never Knew About Vertica Could Surprise You

I just started working on the Vertica team. As the “new guy,” my first few weeks of work have been largely about cramming as much Vertica information into my brain as possible in the shortest time possible. That’s my favorite part of working in the big data analysis world. You always have to keep learning....
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Announcing Vertica 9.x Training: Predictive Analytics Using Machine Learning

In today’s data-driven world, creating a competitive advantage depends on your ability to transform massive volumes of data into meaningful insights. Companies that use advanced analytics and machine learning are twice as likely to be top quartile financial performers, and three times more likely to execute effective decisions. On November 16, 2018, Micro Focus Software...

Vertica’s In-database Random Forest, Highly Scalable and Easy to Use

Arash Jalal Zadeh Fard authored this post. Vertica has a set of machine learning tools covering a wide spectrum of advanced data analysis functionalities like data discovery, data preparation, model training, model evaluation, and model management. The goal of this blog post is to provide a hands-on example demonstrating how the built-in distributed Random Forest...

Data Preparation Tools – Technical Brief

Curtis Bennett authored this blog Vertica supports a number of industry standard data preparation tools for use in the data science life-cycle. In addition to the functions described here, Vertica has a wide array of analytic capabilities which can be leveraged for additional data preparations including time-series analytics (with missing value imputation), analytic windowing and...
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vertica-python Becomes Vertica’s First Officially Supported Open Source Database Client

Tom Wall authored this post. We are very excited to announce that vertica-python, the open source python database client for Vertica created by Uber Technologies Inc., will officially become a supported database client for Vertica! This is a great milestone for Vertica and our community of users and developers. Not only do we expect to...
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Thanks, Google!

This week began with a compliment from Google that made me so proud on behalf of Vertica! On Wednesday, July 25, at the Google Cloud Next 2018 event, Google launched a Machine Learning (ML) beta with two algorithms – linear and logistic regression – and also confirmed that these new machine learning functions could be...
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The Internet of Things (IoT) and Smart Metering

Every month, my husband receives a driver’s report from Chevrolet, providing him with “feedback” on his driving behavior – everything from the intensity of his braking to the number of lane changes without a blinker to the distance and speed he drove in his Silverado truck. The report also provides specific details on the upcoming...
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Announcing Vertica in Eon Mode for Amazon Linux 2, now available in AWS Marketplace

Vertica is a blazingly fast SQL analytics database, enabling enterprises to access and derive meaningful insight into big data in sub-seconds or minutes rather than hours or days. Vertica powers the world’s most data driven organizations, delivering unmatched speed and scale with the full suite of advanced analytics and in database machine learning. Vertica for...

Introducing the VerticaPy Library for Jupyter Notebooks

One of the coolest things about working at Vertica is our amazing intern program, which often leads to full-time hires. Last year, the VerticaPy library, also known as vpython, was started as an internship project by Badr Ouali. A year later, he works for Vertica full time and has seen his project through into an...

How to Code Vertica UDx

This blog post was authored by Ding-Qiang Liu. In analytic businesses supported by Vertica, complex processing logic is sometimes unavoidable. Using ANSI SQL might cause query strings to be much longer, and will slow the query with a huge volume data to query. If using Vertica SDKs, you can encapsulate that general computing logic in...

Make data analysis easier with dimensionality reduction

This blog post was authored by Anh Le. Introduction As the number of features in your data set grows, it becomes harder to work with. Visualizing 2D or 3D data is straightforward, but for higher dimensions you can only select a subset of two or three features to plot at a time, or turn to...

Machine Learning Key Terms

This blog post was authored by Soniya Shah. Machine learning seems to be everywhere these days – in the online recommendations you get on Netflix, the self-driving cars that hyped in the media, and in serious cases, like fraud detection. Data is a huge part of machine learning, and so are the key terms. Unless...