Architecture, Infrastructure, and Tools in VS .NET

Drawing QR Code in VS .NET Architecture, Infrastructure, and Tools
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Architecture, Infrastructure, and Tools
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adjustments appropriately In this example, almost all adjustments ow through within two weeks, so 30 days accommodates the business need 5 Who will be able to use the data here Access to the data in the ETL data stores is limited to the programs and utilities that comprise the ETL system The sole purpose of the ETL system is to prepare the data for reporting and analysis No business users are allowed to access and query this environment This allows pre-processing of data, tuning for batch processes, and eliminates the need for user security The entire focus is on ef cient preparation of the data 6 What type of data access will they have Access is through programs or utilities to run the ETL system itself Both the bottom-up and top-down approaches utilize ETL data stores to ef ciently and accurately process the data However, the top-down approach also includes a physical data store here, called the data warehouse
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Publish the Data: The Presentation Server
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The purpose of the presentation server is to deliver the data to the business user or analyst Following are the primary considerations: 1 What data will be stored here (reference and/or transaction data) All of the transaction detail data will be stored here This is needed to support the business Core reference data will be stored as dimensions here All data that has potential business value should ow from the source system through the ETL system and be loaded here 2 What is the primary purpose of keeping the data here The data is to be used for business analysis and reporting This includes basic querying, reporting, scorecards, dashboards, business intelligence, and analytical modeling 3 How will the data be structured The data is to be organized in dimensional structures These may be star schemas in a relational database technology or inherent in a multidimensional cube technology The dimensions are to be conformed to enable integration at query time across the enterprise 4 What is the persistence of the data or how much history will be stored All data needed to support the business requirements will be stored in these dimensional structures, including atomic transaction detail 5 Who will be able to use the data here Data in the presentation servers is organized to support many business users for their reporting and analytical needs The data is intended to be accessed with interactive queries by the business community Appropriate security measures must be put in place based upon business requirements to ensure that only authorized users are able to access the data
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Part IV
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Building the Project
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6 What type of data access will they have Most business users will have interactive query capabilities Some may be recipients of more structured, static reports Again, this is driven by the business requirements The primary data storage for the bottom-up approach is here, in the presentation servers These are architected using conformed dimensions as a foundation for this approach The top-down approach may also physically store data in a similar manner, called data marts Conformed dimensions are not required with the top-down approach, but they are highly recommended If this part of the top-down approach is implemented with conformed dimensions, then this layer is quite similar to the bottom-up approach With the top-down approach, this part of the architecture may also be implemented with a semantic layer on the data warehouse itself, rather than physically storing the data
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Use the Data: Business Intelligence Applications
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Technologies used to access data today often include some mechanism to store data as part of how the tool works The data architecture for using the data is dictated by how the organization s data access tool(s) function The organization must understand each tool, and which is being used, so that appropriate measures can be taken to ensure that the data continues to be handled in a consistent, reliable manner Both the bottom-up and top-down approaches have similar data architectures here, as it is driven by the data access technology The data architecture role here is to ensure that the organization has a clear understanding of what data is stored as part of the business intelligence application The goal is to have a structured, organized approach here too For a technology that requires the creation of a multi-dimensional cube of data, a new cube should not be created for every new report that is needed Rather, more robust cubes should be created to support a variety of reporting needs These application-speci c data stores must also have planned maintenance, including updates, corrections, and additions to the data The data architecture must also recognize the need for backup and recovery of these data stores Now that the basic data architecture of the bottom-up approach has been discussed, it is time to take a similar look at the top-down approach
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