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...
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...
In simple terms, a Data Vault is an agile system of business intelligence built to solve inadequacies in the Data Warehouse. Data Vault is one of the most popular methodologies when it comes to developing and maintaining a Data Warehouse. What is Data Vault Modeling?...
Welcome to WhereScape STAR WhereScape, the global leader in data warehouse automation, has introduced a new offering to benefit data analysts in organizations that are using Microsoft products for business analysis: WhereScape STAR. Business leaders ask for...
A data warehouse architecture defines the overall architecture of data communication. From processing the data to presenting it for end-clients computing, each data warehouse is characterized by some vital components within the enterprise. Data warehouse applications...
Welcome to the WhereScape Metadata Integration, Model Test Automation, and Enablement Pack Release! Hot on the heels of our December “DevOps” release, we are delighted to announce the General Availability of WhereScape 3D 8.6.6. This includes new Metadata...
The Data warehouse and data lake are the two leading solutions for enterprise data management. While data warehouses and data lakes might share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design...
Gartner’s paper, Data Hubs, Data Lakes and Data Warehouses: How They Are Different and Why They Are Better Together, serves as much as a cautionary piece as an informative one. Based on inquiries made to the analyst firm over the past few years, is it apparent...