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Database examples
Database examples











database examples

The article " A Public Opinion Agency Data Model" deals with the entities required to store information associated with polls, like questions, answers, and results. However, it is easily adapted to any kind of retail company. The article " A Data Model for a Wine Store" is a basic design for wine stores. The article " 911/112: An Emergency Call Service Data Model" may be referenced for managing a multi-city emergency call service, storing each call with the associated responses and alerts to multiple emergency services. The article " Payroll Data Model" includes a complete data model to manage employees and payroll you can easily adapt to your specific needs. The article " Integrated Transport Data Model" is a simple starting point for integrated transport data, covering multiple means of transportation, companies, and cities. Most articles contain step-by-step instructions that help you create your designs using Vertabelo Data Modeler. If you are planning to design a solution to solve a particular business requirement, you may search here for samples designed for a similar business.Įach of these articles includes business-oriented database diagram examples, along with an explanation of the business problem for which they are designed, the entities included, and the relationships among the entities. They are created with Vertabelo Data Modeler, a powerful web-based database modeling tool that is very easy to use. This blog has many articles that include online database diagrams.

database examples

The Vertabelo Blog: Articles Oriented Around Specific Types of Business Or use them to identify enhancements and add-ons not considered in the analysis phase.īelow, I discuss several ways to search for database model examples. Use them as a reference to confirm you are not missing any key component or feature in your model. It is a good idea to use existing database model examples as a starting point, rather than to try to reinvent the wheel. This is true whether you are starting your career in database design or consider yourself a seasoned database professional.

database examples

Having a variety of database diagram examples on hand is very useful. They can connect applications directly to their database.This article discusses various sources of database model examples you can use as a starting point for your data models. Users no longer have to deploy the dependent middleware to deliver database requests anywhere in the world. Database-as-a-service can replicate and distribute immediately and offer near real-time access to data worldwide.Ĭloud databases can collect, deliver, replicate, and push to the edge all your data using the new hybrid cloud concept. If a customer in Singapore has to wait more than 4 seconds for their mobile application data to be retrieved from a database in New Jersey, that customer is not likely to use that application again. This data is then distributed to the database as a service and replicated to geographic regions across the world. They can break up their data, distribute it, and move it closer to their users.įor example, financial organizations are embracing the hybrid concept by using the database as a central repository for all their disparate data sources, and then delivering this financial data in JSON format. Organizations can continuously optimize the data layer for cost, performance, security, and reach. This is the path to hybrid cloud that accommodates growing data management needs, not infrastructure needs.

  • Mix and match cloud providers to optimize geographic reach, service level agreements (SLAs), pricing and regulatory requirements.
  • Manage your cloud yourself, or let a provider manage it for you.
  • Clusters can span multiple data centers.
  • Hybrid databases create a distributed hybrid data cloud for increased performance, reach, uptime, mobility, and cost savings: This can result in performance bottlenecks and also prevent applications from running if the connection to the master database is unavailable.Ī cloud database such as IBM Cloudant ® enables you to push database access to the farthest edge of the network, such as mobile devices, remote facilities, sensors, and Internet-enabled goods, so you can scale bigger and enable applications to continue running while offline. The problem is that most databases require updates to occur in a central “master” database. Managing engagement and application data for massive networks of mobile users or remote devices can be a scalability and availability nightmare.













    Database examples