Data Vault 2.0 Resources

Data Vault Revisited: A Six-Year Journey into the Secure Data Repository

In 2017, Dr. Barry Devlin provided valuable insights about Data Vaults, a concept that sparked interest among businesses and IT professionals. Data Vaults were envisioned as secure repositories for core data assets, designed to provide easy access for business users. As we reflect on the past six years, we find it intriguing to reevaluate some of those insights, understand the evolutionary changes, and speculate on the future trajectory of this technology.

Data Vault Implementation

Breaking into a Data Vault: The IT-Business Bridge

The first in the series, “Breaking into a Data Vault,” underscores the necessity of making Data Vaults readily accessible to business users. It highlights the importance of bridging the divide between IT and business, an often widened chasm due to IT’s engineering focus. This concept is even more relevant today. As data becomes the central pillar of decision-making, the ability of business users to effortlessly navigate and utilize data is paramount.

The vision of business users owning the Data Vault has gradually progressed, but the journey continues as tools and methodologies for achieving this goal have evolved. While solutions like WhereScape® were instrumental then and remain critical today, the current technology landscape hosts even more advanced tools. These new technologies leverage Artificial Intelligence and Machine Learning to simplify data discovery, ensure quality checks, and facilitate analytics.

Data Vault DevOps

Locking in a Data Vault: Automation and Consistency

The second blog, “Locking in a Data Vault,” addresses developers’ challenges while adjusting to new design approaches and agile business requests. It suggests using data warehouse automation (DWA) and encoded templates to maintain consistency and guarantee comprehensive documentation.

The principles outlined in this blog remain valid. However, advanced automation technologies, including AI-driven development and DevOps practices, have revolutionized how these principles are implemented. Today, developers are not merely securing success but propelling it forward, thanks to these advancements.

Data Vault Operations

Living in a Data Vault: Agility and Metadata

The final blog, “Living in a Data Vault,” discusses the ongoing process of maintaining a Data Vault. It emphasizes the importance of agility and metadata amidst continual business changes. Today, these principles have been magnified by the exponential growth of data and its sources, making the Data Vault more intricate yet indispensable. More sophisticated data management platforms have augmented tools like WhereScape®, which automated the design-to-delivery process. These new platforms offer real-time insights, advanced data governance, and data lineage capabilities, making a living in a Data Vault an integral aspect of business operations.

Data Vault 2.0 

The Future of Data Vaults

Reflecting on these blogs six years later, it is evident that while the foundational principles of Data Vaulting persist, the tools and methodologies for achieving them have considerably advanced. Today’s Data Vaults are more innovative, faster, and more intertwined with business operations than ever.

As we gaze into the future, we anticipate Data Vaults to become even more user-friendly and intelligent, with AI capabilities making data discovery and analytics a breeze. We can also expect an increased collaboration between business users and IT from the design phase, cultivated by agile methodologies and collaborative platforms.

In conclusion, the journey into the Data Vault has only just begun. As technology evolves, the promise of a secure, easily accessible, and business-owned data repository is gradually coming to life.

To learn more about the future of Data Vaulting, read our latest blogs: 

1. Understanding Data Vault 2.0 and How to Avoid Pitfalls During Implementation
2. Unlocking the Benefits of Auditability and Adaptability with Data Vault 2.0

or watch our  webcast: Why Data Vault is Worth the Investment? By Dan Linstedt. 

Data Vault Express

Get started with WhereScape’s Data Vault 2.0

Understanding the common pitfalls often encountered in Data Vault projects is essential for success. Early decisions in your architecture can have far-reaching implications. If you weren’t able to attend the live event, we invite you to watch the webcast recording. WhereScape hosted Kevin Marshbank in a detailed discussion about starting right and avoiding the pitfalls of implementing Data Vault 2.0. This invaluable resource is available for you to learn from the experts at your convenience!