Database Development

We take pride in building, supporting, and integrating quality relational information management solutions. Our database development and consulting team will study your existing information infrastructure as well as your objectives to work with you on a development plan that meets your needs. Only then do we build your web based database solution, working closely with you every step along the way.

Whether you need a resource management, financial administration, project administration, sales/marketing support, product management, e-commerce, or other type of database development solution, we can help you get from where you are now to where you need to be in the future.

We provide our database technical and business expertise so that you can accomplish your business goals.

  • Database Design – We create high-quality database structures following standard best practice design methodologies
  • Documentation – We generate high-quality, detailed documentation of existing database structures
  • Database Redesign – If necessary, we take existing databases, re-design the model, and generate the new design SQL
  • Database Migration – We transform out-dated database structures to new optimised database structures and technology

Do you have a project in mind? Contact us about your database needs by phone or email to set up a meeting.

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Database Design

The term database design can be used to describe many different parts of the design of an overall database system. Principally, and most correctly, it can be thought of as the logical design of the base data structures used to store the data. In the relational model these are the tables and views. In an object database the entities and relationships map directly to object classes and named relationships.

However, the term database design could also be used to apply to the overall process of designing, not just the base data structures, but also the forms and queries used as part of the overall database application within the database management system (DBMS).

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Data Mining

Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years,[1] data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery.

While data mining can be used to uncover patterns in data samples, it is important to be aware that the use of non-representative samples of data may produce results that are not indicative of the domain. Similarly, data mining will not find patterns that may be present in the domain, if those patterns are not present in the sample being "mined".

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Data Mashups

Data mashups combine similar types of media and information from multiple sources into a single representation. An example is the Havaria Information Services' AlertMap, which combines data from over 200 sources related to severe weather conditions, biohazard threats, and seismic information, and displays them on a map of the world or Chicago Crime Map, which indicating the crime rate and location of crime in Chicago.

Business mashups focus data into a single presentation and allow for collaborative action among businesses and developers. This works well for an Agile development project, which requires collaboration between the Developers and Customer proxy for defining and implementing the business requirements.

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