{"id":3386,"date":"2020-01-09T06:22:27","date_gmt":"2020-01-09T11:22:27","guid":{"rendered":"http:\/\/www.dcamportal.org\/?p=3386"},"modified":"2021-09-27T09:02:38","modified_gmt":"2021-09-27T13:02:38","slug":"dcam-framework-4-data-technology-architecture","status":"publish","type":"post","link":"https:\/\/staging.dcamportal.org\/fr_ca\/dcam-framework-4-data-technology-architecture\/","title":{"rendered":"DCAM Framework – 4.0 Data & Technology Architecture"},"content":{"rendered":"
\r\n\r\n
X<\/a><\/div>\r\n\r\n
\r\n\r\n
Search<\/div>\r\n\r\n
\r\n\r\n
\r\n\r\n
\r\n Search this component:<\/span>\r\n \r\n <\/div>\r\n\r\n
\r\n\r\n
\r\n Search options:<\/span>\r\n
\r\n <\/div> \r\n\r\n \r\n\r\n
\r\n\r\n \r\n \r\n Search<\/span> <\/span> <\/span> ↓\r\n <\/span>\r\n \r\n\r\n\r\n
\r\n
\r\n separate word search\r\n
\r\n <\/div> \r\n\r\n <\/div> \r\n\r\n <\/div> \r\n\r\n <\/div> \r\n\r\n <\/div> \r\n\r\n\r\n<\/div> \r\n\r\n\r\n
\r\n\r\n
\r\n\r\n
\r\n\r\n\r\n
\r\n\r\n
\r\n\r\n
\r\n\r\n
\r\n Go to comments<\/a>\r\n <\/div>\r\n\r\n <\/div> \r\n\r\n <\/div>\r\n\r\n <\/div> \r\n\r\n \r\n\r\n

\"Component<\/p>\r\n\r\n\r\n\r\n

\r\n\r\n\r\n
\r\n <\/i>\r\n <\/i>\r\n

Upper Matter<\/h2>\r\n <\/div>\r\n\r\n
\r\n \r\n
\r\n\r\n\r\n

Introduction<\/h3>\r\n\r\n

The requirements for data as well as for data management (DM), are interpreted through data architecture<\/span>. This interpretation defines the requirements to design the physical data consumed, produced and provisioned by the business process<\/span>. Data architecture<\/span> is a bridge between the requirements for data of the business process<\/span> and the physical execution of that data in technology infrastructure.<\/p>\r\n\r\n

The efficient and effective movement of data is critical to business operations. Technology architecture<\/span> determines how data, tools and platforms operate in collaboration to satisfy business requirements. The proper alignment of these components dictates application efficiency and system processing speed. This enables organizations to control costs and achieve infrastructure scalability and elasticity which are characteristic of an organization that is designed for long-term implementation success. <\/p>\r\n\r\n

The roadmaps to achieve architecture integration across business, data and technology need to be aligned on a path to the target-state. The roadmaps define the governance and controls that are needed to ensure compliance across the organization.<\/p>\r\n\r\n

Definition<\/h3>\r\n\r\n

The Data & Technology Architecture<\/span> (TA)<\/b> component is a set of capabilities to align the architectural requirements of the business, data, and technology across the organization to support the desired business process<\/span> outcomes. These outcomes include the DM processes and required technology infrastructure.<\/p>\r\n\r\n

Scope<\/h3>\r\n\r\n