Using Single Sign On on Snowflake’s Snowpark Container Services

The blog post underscores a significant advantage of using the Datavault Builder with Snowflake’s Snow Park container services: it empowers data teams to independently set up and manage their data solutions without needing to rely extensively on infrastructure, network, or security teams.

Bi-Temporal Data Processing

Whether you’re dealing with customer accounts, financial transactions, or insurance claims, this webinar will equip you with the skills to enhance your data systems’ efficiency and reliability. Gain insights into using temporal data for better decision-making and historical data analysis.

Datavault Builder Running on Snowflake’s Snowpark Container Services

In this video we do demonstrate how simple it is to run Datavault Builder on Snowflake Container services. Please be advised that Snowflake container services are as of now a public preview feature. As we haven’t completed regression and security testing on our side this is a outlook how the final service delivery will look […]

Direct Model GIT Check-In and Check-Out

Welcome to our short presentation video on Datavault Builder version 7.1! Today we’re diving into the exciting new GIT check-in and check-out feature that’s making agile development as simple as never before. With version 7.1, you can now create a new sandbox for distributed development with just a few clicks or API calls. This new […]

The Migration Vault Concept

A Migration Vault is a specialized metadata store. For sure it is designed itself as Data Vault.
It facilitates the migration of data from an old Data Vault format to a new one, ensuring compatibility and integrity during the transition.

Datavault Builder Version 7

The main change in the major version is a completely refactored deployment module, which allows deploying a lot faster between environments thanks to introduced parallelization of deployment steps and which enhances CI/CD abilities even more.

Is Data Modeling dead

Do we still need data models? What is the value of models? Why did data modeling failed in the past? How can we create data models? How can we create value by data modeling? All of this I try to answer in the following presentation.