Data Modeling & Analysis provides the roadmap into your valuable information assets to provide data accessibility, and correlation of data for the decision-making process. Data models associated with information systems are generally unique by design, being tailored to support specific business operations. System inefficiencies may result with overly complex and/or under-designed data models, which can adversely affect the interfaces and systems they support. Knowing how to effectively design and implement data models and their interfaces are key factors to enable growth of an organization's data infrastructure, while minimizing related costs in the future.
Data modeling may utilize techniques such as an Entity Relationship Diagram (ERD) to explore and visualize data structures and relationships within a database environment, as well as how those concepts relate with one anather across the organization's information systems. On the other hand, data analysis evaluates the data itself. This is typically done with creating reports, running queries, merging data to get a better understanding of the "full-story" that the data is telling. This type of investigation requires some expertise, and the demand for these types of services continues to grow withi the IT Industry.
A logical database schema describes the data structures for a given scope of a data model, and generally consists of tables, data fields, and their associated relationships. Whereas, a physical database schema describes the means to store and access the data, such as partitions, tablespaces, indexes, and the like. Both schemas (logical and physical) should be designed for flexibility, and be able to support change without adversely affecting the other. Data is a valuable asset, and being able to more-fully utilize it in a secure manner, within a managed environment, can provide a means to make better-informed decisions.
Data architects help to organize and structure your data to take greater control and advantage of your business data. Their disciplines are concerned with designing, creating, deploying and managing an organization's data architecture. "Hands-on" expertise with schema designs, database implementations, and data management are invaluable, and can help ensure success of a database solution.
Database administration is at the helm of controlling and overseeing data availability for applications and/or interfaces dependent on the data. Data is a major asset for an organization, and having an effective means to manage, deliver, and utilize the data is essential for realizing the value of these assets. A well-designed and managed database system can turn 'pockets' of business data into a treasure chest of information, enabling organizations to more-effectively react to changing business needs through use of their corporate data.
The role of a database administrator (DBA) is usually a dedicated role in the IT department for large organizations, but in smaller companies the role of the DBA may be outsourced or contracted with a specialized vendor. Regardless, because data is one of the most valuable assets a business has, the roles and tasks a DBA handles are critically important to an organization, and the demand for qualified and experienced DBAs continues to grow.
Data services may encompass a wide-range of data support services including; database extensions and migrations, data aggregation and/or segregation, as well as a variety of analytics for large and/or correlated data sets. Additionally, data services can support real-time data, automated transformations, data in-transit, as well as the storage of data, including backup and recovery strategies. Data services can also provide the capabilities to maintain consistent data within and across data repositories. With such a wide-range of data services available, having an orchestrated and managed solution can provide valuable support for growing IT organizations today.
As database technologies continue to mature, many more solutions to support both small and large organizations are available. Understanding the complexities associated with data interactions, orchestration, as well as various delivery mechanisms, enables us to provide practical solutions to support your data service needs and requirements.
Providing a flexible architectural framework to support varying business needs across an organization's environment.
Enabling security awareness in the database solution to more-fully control and protect your business data assets.
Supporting governance of solutions when needed to manage corporate and/or industry compliance requirements.
Supporting practical database solutions that fit into your specific IT infrastructure and business environment.
Providing legacy support if needed to interact with your existing business applications, systems, and data.
Addressing the technology, application, data integration, and organizational needs across a business IT infrastructure.
Enabling monitoring and control of business data and/or transactions across the organization's information systems.
Providing user login administration, roles, and controls to manage security across the IT business infrastructure.