Import Flow.BI AI generated Data Models
In this video, we walk through a practical demonstration of migrating metadata from Flow.BI into the Datavault Builder using the Migration Vault approach.
You’ll see how we map hubs, links, and attributes, run automated ETL pipelines, and deploy the model step by step. This streamlined process helps simplify the integration of external metadata, making it easy to build and maintain scalable data models.
Integrating and Unifying Data
In Data Vault Modeling, we use hubs to integrate data. Everybody knows that. This is one of the main reasons we choose Data Vault modeling: to integrate data from various data sources. But what does “integration” mean? So far, I haven’t seen a discussion on how we actually integrate data.
Near Real-Time Analytics with Datavault Builder
In today’s data-driven world, credit cards, networks, IoT sensors, and numerous other data sources provide us with real-time data. However, raw data often lacks meaning until it is cleansed and contextualized. How can this be achieved effectively?
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 […]
Use Case study by BI-SPEKTRUM: C&A using Datavault Builder on Snowflake
BI-SPEKTRUM published an article in issue 2023/3 how one of our clients is using the Datavault Builder to integrate its SAP Data.
DDVUG Willibald Use Case
Create a full DWH with 2 data sources in under 3 hours.
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.