- Force.com Enterprise Architecture(Second Edition)
- Andrew Fawcett
- 293字
- 2021-07-09 18:31:06
Mapping out end user storage requirements
During the initial requirements and design phase of your application, the best practice is to create user categorizations known as personas. Personas consider the users' typical skills, needs, and objectives. From this information, you should also start to extrapolate their data requirements, such as the data they are responsible for creating (either directly or indirectly, by running processes), and what data they need to consume (reporting). Once you have done this, try to provide an estimate of the number of records that they will create and/or consume per month.
Tip
Share these personas and their data requirements with your executive sponsors, your market researchers, early adopters, and finally the whole development team, so that they can keep them in mind and test against them as the application is developed.
For example, in our FormulaForce application, it is likely that managers will create and consume data, whereas race strategists will mostly consume a lot of data. Administrators will also want to manage your application's configuration data. Finally, there will likely be a background process in the application, generating a lot of data, such as the process that records race data from the cars and drivers during the qualification stages and the race itself, such as sector (a designated portion of the track) times.
Tip
You may want to capture your conclusions regarding personas and data requirements in a spreadsheet along with some formulas that help predict data storage requirements (discussed later in this chapter). This will help in the future as you discuss your application with Salesforce during the AppExchange listing process, and will be a useful tool during the Sales cycle as prospective customers wish to know how to budget their storage costs with your application installed.
- PPT,要你好看
- Google Cloud Platform Cookbook
- Verilog HDL數字系統設計入門與應用實例
- 一本書玩轉數據分析(雙色圖解版)
- Visual FoxPro 6.0數據庫與程序設計
- Maya 2012從入門到精通
- 大數據時代
- Linux Shell Scripting Cookbook(Third Edition)
- 傳感器原理及實用技術
- Windows 7來了
- Generative Adversarial Networks Projects
- Mastering SQL Server 2014 Data Mining
- 數據結構與算法(C++語言版)
- 深度剖析:硬盤固件級數據恢復
- Practical Internet of Things with JavaScript