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.
In the previous two articles of this series, we discussed how to use Python and SQLAlchemy to perform the ETL process. Today we’ll do the same, but this time using Python and SQL Alchemy without SQL commands in textual format. This will enable us to use SQLAlchemy regardless of the database engine we’re connected to. So, let’s start. Today we’ll discuss how to perform the ETL process using Python and SQLAlchemy.
SQLAlchemy helps you work with databases in Python. In this post, we tell you everything you need to know to get started with this module. In the previous article, we talked about how to use Python in the ETL process. We focused on getting the job done by executing stored procedures and SQL queries. In this article and the next, we’ll use a different approach. Instead of writing SQL code, we’ll use the SQLAlchemy toolkit.
Python is very popular these days. Since Python is a general-purpose programming language, it can also be used to perform the Extract, Transform, Load (ETL) process. Different ETL modules are available, but today we’ll stick with the combination of Python and MySQL. We’ll use Python to invoke stored procedures and prepare and execute SQL statements. We’ll use two similar-but-different approaches. First, we’ll invoke stored procedures that will do the whole job, and after that we’ll analyze how we could do the same process without stored procedures by using MySQL code in Python.
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.