dbt with Teradata Vantage

This tutorial demonstrates how to use dbt (Data Build Tool) with Teradata Vantage. It’s based on the original dbt Jaffle Shop tutorial. A couple of models have been adjusted to the SQL dialect supported by Vantage.

Train ML models in Vantage

There are situations when you want to quickly validate a machine learning model idea. You have a model type in mind. You don’t want to operationalize with an ML pipeline just yet. You just want to test out if the relationship you had in mind exists. Also, sometimes even your production deployment doesn’t require constant relearning with MLops. In such cases, you can use Vantage Analytics Library (VAL) and multiple ML model types it supports.

Connect to Vantage using JDBC

This how-to demonstrates how to connect to Teradata Vantage using JDBC using a sample Java application: https://github.com/Teradata/jdbc-sample-app.

Database Run large bulkloads efficiently with Teradata Parallel Transporter (TPT)

We often have a need to move large volumes of data into Vantage. Teradata offers Teradata Parallel Transporter (TPT) utility that can efficiently load large amounts of data into Teradata Vantage. This how-to demonstrates how to use TPT. In this scenario,

Query data stored in object storage

Native Object Storage (NOS) is a Vantage feature that allows you to query data stored in files in object storage such as AWS S3, Google GCS, Azure Blob or on-prem implementations. It’s useful in scenarios where you want to explore data without building a