Tag: ML
VantageCloud Lake Architecture
VantageCloud Lake is Teradata’s cloud-native data and analytics platform. This post explains Lake’s architecture, including OFS and BFS storage, and its main capabilities.
From Zero to Hero in Cross-Site Restores in Teradata
The Cross-Site Restores feature in VantageCloud Enterprise allows you to quickly create a Disaster Recovery site for your Production database.
Teradata’s Cloud-Native Database
Teradata has just launched a Cloud-native database, VantageCloud Lake. In this post, I discuss its high-level architecture.
Takeaways from a Microsoft engineer about ML on Azure
Takeaways on how to run ML projects on Azure from a Microsoft engineer – author of the Azure Data Scientist Associate Certification Guide.
Andreas Botsikas – Microsoft engineer, author of the Azure Data Scientist Guide
“ML models are in fashion, such as customer churn predictions. However, it’s not easy to define what a churned customer is unless you have a multi subscription system like Netflix, where you can quickly identify the customers who stopped paying. E.g., what does churn mean for a supermarket?”
Lessons learnt with a Google engineer to leverage data for business
Leverage data and Machine Learning for business. Lessons learnt with a Google Engineer about real-world implementations.
