Data and information layers are interconnected in my opinion. According to Platt (2002), and as mentioned in one of my course readings " the information layer describes data that the organization needs to run its business processes and applications", in other words, without data information layer cant exists, and vice versa.
While we are working on streamlining data architecture within the information layer, it is important to take into consideration, and something that a data architect should keep in mind;
A great blog that I ran across on IBM, layers the interaction of data in the BI (Business Intelligence world), data repositories, data warehouse architecture, http://www.ibm.com/developerworks/data/library/techarticle/dm-0505cullen/
One of the diagrams that really caught my eye is where the analytics layer that provides the business analytic applications and their underlying capabilities and services, adding value to all areas in the enterprise.
While we are working on streamlining data architecture within the information layer, it is important to take into consideration, and something that a data architect should keep in mind;
- data recovery
- data modeling and analytics related to the organization
- data handling
- big data usage and how it can be used within the enterprise
- data security, when the data is being used from outside the organization
- data storage, whether its physical servers or cloud.
- easy data accessibility and availability
A great blog that I ran across on IBM, layers the interaction of data in the BI (Business Intelligence world), data repositories, data warehouse architecture, http://www.ibm.com/developerworks/data/library/techarticle/dm-0505cullen/
One of the diagrams that really caught my eye is where the analytics layer that provides the business analytic applications and their underlying capabilities and services, adding value to all areas in the enterprise.
Referencing http://www.ibm.com/developerworks/data/library/techarticle/dm-0505cullen/part4image3.gif |
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