Data Mesh vs Data Fabric Data Mesh and Data Fabric are reshaping how organizations approach data product development. In an era where data-driven decisions are central to business success, these innovative paradigms are becoming increasingly crucial. By enabling...
WhereScape is pleased to announce the general availability of WhereScape RED 10.0.0.0. This release is the culmination of man-years of effort. It confirms WhereScape’s commitment to continuing to develop new technologies and tools and its commitment to delivering the...
As we journey deeper into the digital age, the importance of data modeling within the broader landscape of artificial intelligence (AI) has become more pronounced than ever. The success of AI-driven initiatives is tightly woven with the quality and structure of the...
Data Vault 2.0 Data Vault 2.0 is a database modeling method published in 2013. It was designed to overcome many of the shortcomings of data warehouses created using relational modeling (3NF) or star schemas (dimensional modeling). Speci fically, it was designed to be...
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...
Data Vault Modeling Implementing a data vault as your Data Modeling approach has many advantages, such as flexibility, scalability, and efficiency. But along with that, one must be aware of the challenges that come along with that. Data vault modeling leads to a...
The Pivotal Role of Data Modeling In the rapidly evolving digital age, artificial intelligence (AI) has emerged as a game-changer, deeply impacting the business landscape. Its ability to automate operations, refine decision-making processes, and significantly enhance...
Unlocking Your Business Potential: Understanding and Enhancing Information Management Maturity In a recent report by Gartner, they emphasize the crucial role of information in the current business environment, stating, "Through 2025, organizations that are data-driven...
In modern times, organizations are daily generating huge volumes of data. Appreciating the significance of data, companies are storing data from different departments which can be analyzed to gather insights to help the organization in better decision-making. This...