In this post we will be developing a full-blown CRUD application using Spring Boot, AngularJS, Spring Data, JPA/Hibernate and MySQL, learning the concepts in details along the way. This application can as well serve as a base/starting point for your own application. In addition, we will also use the notion of profiles to deploy the application into two different databases [H2 & MySQL] to emulate the local and production environment, to be more realistic. Let’s get going. Following technologies stack being used: Let’s Begin. 2. Dependency Management [pom.xml] spring-boot-starter-parent : In most of the cases[unless imported], your maven project POM will simply inherit from the spring-boot-starter-parent project. The spring-boot-starter-parent provides useful Maven defaults, provides dependency-management section so that you can omit version tags for dependencies you would need for your own project. Once inherited from spring-boot-starter-parent, you would declare dependencies to one or more “Starters” jars. spring-boot-starter-web : Provides typical WEB MVC + Embedded container support. spring-boot-starter-freemarker : Provides freemarker template support. We will be using freemarker in this example. spring-boot-starter-data-jpa : Provides spring-data setup using JPA abstraction. Since we are talking about fast-development using spring-boot, spring-data would certainly save time compare to traditional DAO/Creteria/Query manual setup. HikariCP : Provides Hikari connection pooling support. We could have as well used Tomcat datapooling. Common DBCP is usually not recommended for performance reasons. h2: Provides H2 database support. Please note that it is used here just to demonstrate the real-life scenarios where your local setup uses one database while the one on production might be altogether a different database.Additionally, we are deliberately using a different version of h2, just to demonstrate...
By Andrew Pavliv, Tetiana Boichenko, Max Nechepurenko, Ihar Rubanau • July 05, 2018 Machine learning in finance may work magic, even though there is no magic behind it (well, maybe just a little bit). Still, the success of machine learning project depends more on building efficient infrastructure, collecting suitable datasets, and applying the right algorithms. Machine learning is making significant inroads in the financial services industry. Let’s see why financial companies should care, what solutions they can implement with AI and machine learning, and how exactly they can apply this technology. We can define machine learning (ML) as a subset of data science that uses statistical models to draw insights and make predictions. The chart below explains how AI, data science, and machine learning are related. For the sake of simplicity, we focus on machine learning in this post. The magic about machine learning solutions is that they learn from experience without being explicitly programmed. To put it simply, you need to select the models and feed them with data. The model then automatically adjusts its parameters to improve outcomes. Data scientists train machine learning models with existing datasets and then apply well-trained models to real-life situations. The model runs as a background process and provides results automatically based on how it was trained. Data scientists can retrain models as frequently as required to keep them up-to-date and effective. For instance, our client Mercanto retrains machine learning models every day. In general, the more data you feed, the more accurate are the results. Coincidentally, enormous datasets are very common in the financial services industry. There are petabytes of data on transactions, customers, bills, money transfers, and so on. That is a perfect fit for machine...
Simple and Complete Module-based Laravel API Dec 3 I’m a big fan of writing module-based software, but I’m not so fond of relying on third-party packages for trivial things as they could always prevent you from upgrading. For the two years I have been writing module-based software with Laravel and I’m very happy with the result. The deciding factor that drives me towards module-based software is the possibility for continuous improvement. Imagine you setup a project structure and 6 months later you decide that you made a lot of mistakes. It’s usually not easy to just improve the architecture without affecting the 6 months of existing code. There are two major points that I’ve noticed while analyzing this subject: you either have a standard in your whole project and stick with it or you modularize it and improve module by module. Some people prefer to work with standards at all costs, even if that means being stuck with a standard that you no longer enjoy. Personally, I prefer continuous improvement. If the 20th module that I wrote is 100% different than the 1st one, I don’t mind. If I ever need to go back to Module 1 for a bugfix or refactoring, I can improve it towards the new standards being used by the latest modules. If, like me, you would like to work on a module-based Laravel Application and avoid adding unnecessary third-party dependency to your project, here is how I did it. 1- Route Service Provider Laravel Router system is kind of the entrypoint for the application. The first thing that requires changing is the default RouteServiceProvider.php that should...
Virtually every industry is tapping into the mobile market to bring new and innovative solutions for users, and the healthcare industry is no different. In fact, more and more people have come to rely on the remote services healthcare apps are offering during this COVID-19 reality we’re living in. In this article, we’re going to take a look at how far healthcare mobile app development has come, what kind of technology new apps are leveraging, and how you can develop your own health app. Chapter #1: How Mobile Apps Are Transforming Healthcare In today’s digital era, we’re embracing smartphone technology as a way of solving our problems. It’s become an integral part of our lives which is constantly evolving as new technologies emerge. The healthcare mobile app industry in particular has seen steady growth over the years by offering a wealth of convenient services for both patients and health care physicians. In fact, the mobile health market is expected to exceed $300 billion by 2025. And due to the pandemic, health apps have seen a download increase of 25%. In short, if you’re looking to tap into the mobile health market, you’re in a good place. 1.1 Technology in Healthcare Apps So what can the technology in mobile health do? Health apps can do quite a bit nowadays. Health management apps can record, track, and collect data, like blood pressure, glucose levels, our physical activity, heart rate, and so much more. Mobile technology is being used as a diagnostic tool. We can use our mobile devices to test for certain infections or diseases. General health and wellness apps can...
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