Simplified Data Architecture: Data Warehouse Automation met Datavault Builder

Data architectures are becoming increasingly complex due to the need to serve many purposes: multiple personas, ranging from operational data users to data scientists need to have access to a variety of managed, governed data and demand real-time, self-service reporting and analytics. Applying principles while designing data architectures will help simplify the development and usage of those architectures by developers and end users. We apply the following principles:

1. Data and the meaning of data are managed separately;
2. Storage and Compute are implemented and managed separately;
3. Requirements determine the needed capabilities and technological solutions, in that order;
4. Automate data engineering as much as possible.

In this session we will show how Connected Data Group and 2150 Datavault Builder work together in designing the simplified architecture by focusing on data modelling with Data Vault and automating the data engineering process with Datavault Builder.

During this session you will learn:

• Principles of the simplified architecture
  • Simplify complexity
  • Separating data from metadata
  • Eliminating data replication
  • Automating data engineering
• Data Vault Builder
  • Relevance
  • Overview of the development process
  • Layers
  • USP’s
  • 5 minute demo
• Q&A

How to use the full benefits of Data Vault? Data Vault is the modeling approach to become agile in Data Warehousing. The Data Vault approach is unbeatable, especially when the technical implementation is abstracted through automation. Datavault Builder has combined its Data Vault driven Data Warehouse approach with a standardized development process that allows to scale and allocate development resources flexible.

Quickly develop your own Data Warehouse. Rely on the visual element of Datavault Builder to facilitate the collaboration between business users and IT for fully accepted and sustainable project outcomes. Immediately lay the foundation for new reports or integrate new sources of data in an agile way. Deliver new requirements and features with fully automated deployment. Agile Data Warehouse development and CI/CD become a reality.