Developing a BI-Modal Logical Data Warehouse Architecture
Using Data Virtualization
The Expiration Date of the Traditional Data Warehouse Architecture - Every technology, every architecture, and every design technique has an expiration date. And this is very true for the world of information technology. It would be inconceivable if assembler languages, hierarchical databases, and waterfall design techniques would still be used to develop the complex systems of today. No exception applies for business intelligence.
The heart of most current BI systems is formed by a traditional data warehouse architecture initially designed to support classic forms of reporting. For such systems, aspects such as improved governance, high-quality data, and stability play a key role. To offer such qualities, BI systems are accompanied by a rigid development, operation, and management process.
This architecture has had a great run for twenty-five years and has served countless organizations well. But for many organizations it has passed its expiration date. Due to its rigid architecture, many new BI requirements are hard to implement with the existing BI systems. For example, BI systems have to support new forms of reporting and analytics, such as self-service BI; investigative analytics; data science; external users, such as online customers, partners, and suppliers; new storage technologies, such as Hadoop and NoSQL; external data sources, such as social media data and open data; and large quantities of data. In addition, reports must be developed faster.
Please find more information about the Operationalizing and Embedding Analytics for Action in this TDWI Best Practices Report.