Tap Model
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The TAP Model is a reference model that describes distinct zones for data placement and storage functionality across an entire information infrastructure. It aims to deliver improved service levels, higher data quality, and more cost-effective utilization of assets for modern applications. The TAP Model separates data into production data, transient data, and archival data zones and simplifies and integrates the management of data and storage assets. It addresses challenges around data access and quality for information-intensive applications.
Tap Model
- 1. Introducing the TAP Model Data-centric Infrastructure for Information Intensive Applications
- 2. Why TAP? Storage infrastructure has become an island unto itself. Storage & data management are independent to a fault. Operational complexity thwarts the optimal use of data & storage assets. Business apps suffer from data quality & access complexity issues.
- 3. What is the TAP Model? A reference model describing distinct zones for data placement and storage functionality for an entire information infrastructure that delivers improved levels of service, higher levels of data quality and cost effective utilization of assets for contemporary applications.
- 4. Distributed Data: Simplistic View Sales & Order Entry Processes SFA AR CRM ECM ERP Portal
- 5. Distributed Data: Application View Huge Diverse Portfolio: Legacy Applications, Application Suites, New Applications App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App App
- 6. Data: The Heart of Infrastructure Source: Breakaway Information Group, 2007 Server Systems Server Systems Server Systems Archival Data Production Data Transient Data Boundary Processes SOA Apps GRID Apps Multi-tier Apps Distributed Apps
- 7. TAP Model Benefits TAP demystifies the means to implement vendor-driven product concepts. ILM, DLM, IIM, DPM, Utility Storage & GRID. The TAP Model enables organizations to: Simplify and integrate the management of data & storage assets, Address the challenges of serving data to information-intensive applications, Identify points of transparency between applications and storage, Define expanded uses for storage and data management tools, and Enhance the value of legacy systems.