For the purpose of this illustration, let's consider a database for an airline that employs "snapshot isolation." There is a possibility that Airline will agree to a non-serializable execution if doing so would result in improved overall performance.

Let's say there is only room for one student in a course, and two people are seeking to sign up. What property of a database system makes it impossible for both students to be placed in the last open seat?

Experiment with all of the possible data request scenarios in a distributed database system.

Suppose we have a database for an university. The requirements are as follows: • Professors have an SSN, a name, an age, a rank, and a research specialty. • Projects have a project number, a sponsor name (e.g., NSF), a starting date, an ending date, and a budget. • Graduate students have an SSN, a name, an age, and a degree program (e.g., M.S. or Ph.D.). • Each project is managed by one professor (known as the project’s principal investigator). • Each project is worked on by one or more professors (known as the project’s co-investigators). • Professors can manage and/or work on multiple projects. • Each project is worked on by one or more graduate students (known as the project’s research assistants). • When graduate students work on a project, a professor must supervise their work on the project. Graduate students can work on multiple projects, in which case they will have a (potentially different) supervisor for each one.   The FDs for the above requirements are given as, • PSSN →…

"Snapshot isolation" may demonstrate airline database building. If airlines improve, a non-serializable approach may be acceptable.

Let's look at an airline database to see how snapshot isolation is used in practice. The airline, for instance, could agree to a nonserializable execution if it means better long-term outcomes.

Think of a database for an airline as an example. A non-serializable approach could be acceptable if airlines can achieve higher overall performance.

Consider the idea of "snapshot isolation" in the context of creating a database for an airline. Should airlines, if they can increase their overall performance, go with a strategy that doesn't lend itself to serialization?

A taxi company would like to provide an online service for customers to book a trip and for taxi drivers to check their upcoming trips. A database needs to be created to store customer data (name, address, email, telephone number) and trip information (pick up and drop off address and pick up time and date). Furthermore, your database should contain driver information (name and license plate). Each trip must be assigned to exactly one driver (and trips for a driver must not overlap). Customers who are not registered yet need to register (providing their address, phone number, email address, and credit card information). A registered customer should be able to book a trip, i.e. provide the pick-up address and time as well as the drop-off address via a graphical user interface. Customers should also be able to view their trips and cancel them if needed. All these operations are only possible after a customer signs in (which means they must be registered). Each new trip must be confirmed…

Let's say there is only room for one student in a course, and two people are seeking to sign up. What property of a database system makes it impossible for both students to be placed in the last open seat?