Data Modeling is an analytical method by which architects, planners, analysts and or engineers associate data attributes with business entities. It results in documents, diagrams and other artifacts that are used for a variety of activities necessary to accurately define effective, high-level system requirements and design.
Data Modeling is the foundation for Database Design & Development.
Database Design & Development
Database Design & Development refers to the implementation of tools, processes and techniques that deliver a structured database customized to meet a particular set of requested parameters.
Database Design & Development, based on the quality of its design and development, can make the difference between a system that’s known for down time and data loss, and a system that’s known for seamless operation and versatility.
Query Optimization refers to efficiencies achieved by refining the method and process by which a database accesses and retrieves data.
Query Optimization improves database speed and performance which, in turn, supports improvements in the speed and performance of enterprise functions served by the database.
Performance Tuning is the application of to methods and processes that reveal inefficiencies system performance that reduce performance and productivity. It includes practices that diagnose, identify and resolve database issues, bugs and risks.
Performance Tuning identifies and resolves issues and risks in advance of system interruption, data loss or other negative performance.
Data warehousing is the storage of data collected from a wide range of sources and formats; transformation of diverse data to a common format; and establishment of the data in a common repository.
Data Warehousing enables an enterprise to collect analyze and manipulate data from as many different sources as are available to the enterprise. It is used to support processes such as business intelligence, enterprise planning and business strategy.
Data hardening is the execution of strategies and practices that ensure error-free data storage.
Data hardening enhances security. It takes a “defense in depth” approach to protecting data storage through a range of refinements to multiple aspects of data, such as data format, user privileges and backup methodologies.
Data Transport & Transformation
Data Transport & Transformation is the ability to transfer data between databases, regardless of database location or data format.
Data Transport & Transformation enables data exchange that transcends boundaries such as the type of database server, operating system or language. It includes the ability to transfer databases and ingest databases.
Disaster Recovery is the ability to recover crucial data quickly after a disaster.
Disaster Recovery capabilities are analogous to life insurance for a business, but the capability is only as effective as the strategies, practices and administration of it. The good news is the easy availability of tools and resources that enable these strategies and practices.
Database Administration implements the technical competencies, processes and functions that manage, control, and protect the data in a database.
Database Administration is the 24 hour watch over the data upon which an enterprise operates and succeeds. Technology in the field Data services is advancing in a manner that supports better database administration, reliability and protection, and at a better return on investment.