E-learning (or online learning) offers people a flexible and cost-effective way to pick up new skills. What’s behind these popular portals? Online learning has become an attractive way for busy people to expand their educational and technical horizons. Being able to learn what you need, at your own pace, and on your own schedule is appealing. Plus, these courses are priced much lower than their traditional counterparts. Since there are no classrooms, no full-time instructors, and a high reusability factor (once a course is produced, it can be accessed by many learners), online courses are very cost-effective.

Are you excited when you get an instant discount on an online purchase? Do you always look for a better deal before you place an order? This article explains how online stores manage product prices and discounts. Everyone loves a deal, no matter how big or little it is. Would you rather pay full price for an item or apply a coupon code and save a few bucks? Offering price discounts is one major way retailers attract customers and increase sales.

Looking for a way to keep tabs on tennis? Shantanu Kher demonstrates a data model that manages information about players, tournaments, and results. Roger Federer recently won his fifth Australian Open title, picking up a record 18th Grand Slam. Like many people, I’ve followed his play and tennis tournaments in general for a long time. What does it take to organize such events? Let’s dive into a data model designed to keep track of tennis tournaments and players.

Ever use Craigslist or some other online classified ad website to sell or buy something? Did you wonder how it worked? In this article, we talk about how an online classifieds data model can be designed using a relational database. Online classified ads (such as Craigslist) offer a place to buy or sell new or used products, advertise services, and connect with various people. In this article, we’ll see how to design an optimized, performance-friendly database model for such a platform.

Booking a doctor’s appointment using an online app is an innovation that simplifies the entire process. Let’s dive into the data model behind an appointment booking app. Why use an app? It makes it easier for people to find the doctors of their choice, letting them see the doctor’s professional records and patient reviews. When someone finds a doctor they like, they can book an appointment with them without leaving the app.

Being healthy and fit is a lifestyle, not a fad. People who realize the value of health make it a priority, keeping records of all their fitness-related facts. In this article, we’ll examine the design of the database behind a health and fitness application. There are many applications which let users log their health and fitness information. A couple of big players like Apple, Google, and Microsoft have launched their own development APIs specifically for this market.

In this era of tough competition, job portals are not just platforms for publishing and finding jobs. They are leveraging advanced services and features to keep their customers engaged. Let’s dive into some advanced features and build a data model that can handle them. I explained the basic features needed for a job portal website in a previous article. The model is shown below. We’ll consider this model as a base, which we will change to meet the new requirements.

Across the globe, the job portal site is a well-known feature of the Internet landscape. Big players like Indeed and Monster have turned job hunting and recruiting into a veritable online industry. Let’s dive into the elementary features leveraged by job portals and build a data model that can support them. People love saving time by using technological innovations; the online job portal is another version of working smarter, not harder.

A recurring event, by definition, is an event that recurs at an interval; it’s also called a periodic event. There are many applications which allow their users to setup recurring events. How does a database system manage recurring events? In this article, we’ll explore one way that they are handled. Recurrence is not easy for applications to deal with. It can become a hurricane task, especially when it comes to covering every possible recurring scenario – including creating bi-weekly or quarterly events or allowing the rescheduling of all future event instances.

Everyone planning to move to a new location looks for good accommodations. In the Internet era, the very first place they tend to look at sites dedicated to listing rental properties. According to a poll by one well-known agency, 76% of people looking to rent turn to the internet first; this figure rises to 88% for those aged 25–34. Let’s dive into a full-fledged data model that supports such sites and their underlying features.