DATA
ARCHITECTURE
The Q'Zure business goal is to define the best architecture to enable its client to use information effectively. Specifically identifying and building the appropriate computing architecture as well as the software that populates an organization's unique requirements for computing resources is the baseline we build upon. There are three different architectures to analyze and design within the business process of engineering:
1) Data architecture;
2) Application architecture;
3) Technology infrastructure.
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Data architecture provides a framework for the building blocks for objects that are to be used by a business. An object
contains the attributes that define aspect, quality, characteristics or descriptors of the data. Once the object is defined,
the relationship to the application architecture needs to be built for transforming those objects in a way that a client can
interact with the data. Finally, the technology infrastructure is the foundation for the hardware and software specifications
for the client to succeed with their business within their industry. This includes computers, servers, operating systems,
telecommunication storage and other technologies.
A warehouse is a separate data environment that is not directly integrated with day-to-day applications but encompasses all data used by a business or client. It is a large independent database that has access to disparate databases that serve the set of applications required by a business for analytics and utilization beyond the simple collection of information.
A warehouse is a separate data environment that is not directly integrated with day-to-day applications but encompasses all data used by a business or client. It is a large independent database that has access to disparate databases that serve the set of applications required by a business for analytics and utilization beyond the simple collection of information.