Data warehouse automation (DWA) is replacing standard methods for building data warehouses. It automates the planning, modeling, and integration steps to keep pace with an ever-increasing amount of data and sources.
Data warehouse automation is crucial for standardizing the way data — from many sources and in many formats — is integrated and woven together into a consolidated view. Teams increase productivity, agility, and the quality of their output.
Introducing Data Vault automation
The Data Vault 2.0 data model is rapidly becoming the DWA standard. Its simple design architecture makes it much easier to streamline processes and meets both data engineers' and compliance and audit departments' needs.
Organizations use a variety of tools to process and manage data. Data Vault automation also supports the automated build of a data hub, data lake, data lakehouse and data mesh.
Watch this video series that explains in depth how VaultSpeed approaches data warehouse automation.
First, we automate multi-source data integration without our users having to write a single line of code. No-code data automation significantly increases the speed, productivity, and quality of output.
Fully Automated Data Loading
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Everything is a repeatable pattern
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Then automate your business rules: VaultSpeed’s template engine allows you to develop industry-specific metrics stores. This helps to build and market data-intensive applications or to deliver state-of-the-art analytics in time.