Integrated transport is something we often hear about on the internet or in the news. While it’s not something new, it’s definitely an ongoing process, with constant changes being implemented. Today, we’ll take a look at a data model that could handle zone, passenger, and ticket info. Let’s dig right into our integrated transport data model, starting with the idea behind it all. Idea Integrating transportation is necessary to maximize its efficiency and, for customers, its easy use.

Calling an emergency number like 911 or 112 is not something we’re looking forward to, but we’re glad to have it when we need it! On the other end of the line, it’s a stressful job, and there’s little room for mistakes. Everything needs to work perfectly. Today, we’ll take a look at the data model an emergency service could use to process and respond to incoming calls.

How does all that public opinion data get stored? We check out an opinion poll data model. Everyone wants to know what the public thinks, from politicians and companies to individuals who want to know what others think on a certain topic. This kind of job is usually performed by agencies that specialize in that type of research. Today, we’ll take a look at a data model such an agency could use to store all relevant poll data, from questions and predefined answers to the actual feedback.

Cameras, revolving doors, elevators, temperature sensors, alarms – all of these devices produce a large number of interconnected signals that are related to events happening around us. Now imagine you’re the person who needs to track statuses, produce real-time reports, and make predictions based on all this signal data. To do this, you’d first need to store that data. A data model that supports such signal processing is the topic of today’s article.

Everybody books into a hotel at some point. In this article, we’ll look at a data model that could power a hotel reservations system and channel manager. Faster, cheaper transportation options allow us to travel across the world in a matter of hours. And people have more disposable income than ever before. Is it any surprise that tourism is growing rapidly? In addition to traditional hotel booking channels, we also have newer options – like Airbnb and Booking.

SaaS (Software as a Service) is one of the three main components of Cloud computing. Usually, SaaS applications are web-based and can handle many different users at one time. Subscription-based solutions are very popular SaaS offerings. Some well-known SaaS products include Microsoft Office 365, Amazon Web Services (AWS), Slack, Jira, Stripe, and (of course) Vertabelo! Today we’ll take a look at a data model that would allow us to manage SaaS subscriptions.

Are you forgetting something? A data model to help you remember important dates – before they happen. Have you ever forgotten an important date – your mom’s birthday or your anniversary? Or that you’re giving a lecture? Yup, things like that happen in real life. Maybe not to all of us, but to some of us (including me), they certainly do. To prevent such disasters, we’ll create a data model you could use as the background for an application that will notify you right on time.

Producing a great wine is a really complex process, one that takes many years to master. Offering and selling wines to customers is another complicated process. There are many stores specializing in only one product. If you want that product, you’ll go to that store. Wine stores are an example of what I’m talking about. What would be the data background of a wine store? Let’s find out. In many ways, a wine store is like any other store.

Running an automobile/car repair shop is a really complex business. You’ll need to make appointments while some customers will drive in and you don’t want to have them wait for hours. Also, you’ll need to organize employees, track repairs, materials, charge customers, etc. You’ll definitely need an IT solution and, of course, a data model in the background. Today we’ll talk about one such model. The Idea I’ve already mentioned that this business model is really complex.

Smart homes used to be strictly in the future; now they are a reality. Most of us have heard about them, but they are not so widespread as they will be in the near future. Managing your home the ‘smart’ way will definitely produce a lot of data. Today, we’ll analyze a data model we could use to store smart home data. The Data Model When you think of a smart home, you probably think of remotely locking and unlocking your home, activating alarms, lights, or cameras from your phone, having thermometers that automatically manage your heating and cooling, etc.