Just having data, even a lot of data, does not guarantee success. Data can be an asset but simply having more data is not enough, having only the right technology is not enough, and having only the right analysts is not enough. A growing number of enterprises are recognizing that turning data into information, knowledge, and insights requires a data culture. Data culture encompasses values, behaviors, and attitudes of executives and employees that promote and enable use of relevant data as the driving force of decision making.

For a long time most people wrote on ASP.NET, then there was the frontend on AngularJS. In October 2016, there was a switch to Angular and Typescript. And here it is! Typing in the frontend, you can do complex things quite easily! Before that (development on nestjs) on node, developing only for fun, and somehow there was even an attempt to introduce good practices and typescript into the popular Koa. But NestJS is still a little different.

Two of the most popular data visualization tools - Tableau and Qlikview-are the most widely used tools when it comes to interpreting complex datasets. An outstanding combination of animated graphics, graphics processing tools, and BI capabilities for interactive analytics, text, and interactive dashboards, both of which have unusual features that make them stand out from each other. Tableau and Qlik have always captured a coveted spot in the Gartner magic quadrant. Let's try to understand how these two tools differ from each other.

Data has changed the way the business world works. But with so many data sources, it can be hard to know where to start. Our team of experts has broken down the similarities and differences between Tableau and Microsoft Power BI to help you make the right decision for your company.

Modern technologies have long and firmly changed our lives. On the one hand, we made many things easier and more convenient, on the other hand, with the advent of the Internet, the world began to change rapidly: new specialties appeared, and some professions, on the contrary, disappeared, new tools for solving everyday tasks appeared. But at the same time, there is still not enough time to complete these tasks.

The Vue philosophy.js is about providing the simplest possible API for creating a real-time two-way data binding between a view (HTML template) and a model (JavaScript object).

One of the most famous "must-have" tools for developers of software solutions in JavaScript is the Node.js platform. It is very simple and intuitive, even for novice coders. At the same time, Node.js allows you to work with server technologies, to implement interactive work using the computer power of users. Among other things, this platform allows you to run code from the command line of any of the common operating systems.

In the last part, we have set up our RN project, iOS certs, and profiles and the fastlane deployment. Now we can use all of this in the Bitrise panel!

When I have started development in React I thought: “Wow, what’s nice technology, everything is quite simple and easy to implement”. After 2 years of development with React, I have decided to start development with React Native. I considered it a great idea and it was! The same thoughts came to my mind about the simplicity and coolness of this solution: “One codebase for 2 platforms, this is awesome. I can’t wait how much time I will save for project implementations”.

In React Native, everything is native, so forget about full cross-platform compatibility. The platforms are different, so the components are different. They have different logic and mechanics of interaction. You can write everything in JS and throw out the concept of native, but you don’t want that. Native is your advantage!

Do you want to learn about React, but you still don’t get the chance to learn It? Or maybe you’ve already tried to master React, but couldn’t really understand it? Or maybe you have figured out the basics, but you want to put your knowledge in order? This article is written specifically for those who have answered at least one of these questions positively. Today we will create a simple music player, revealing the basic concepts of React as we move towards the goal.

Welive in an exciting time of accelerated innovation, increased global competition, and unprecedented opportunity to disrupt and reinvent. The exponential growth of digital technology, ubiquitous internet connectivity, and proliferation of smart devices — all of which create a deluge of data that holds a competitive advantage for anyone that can quickly and accurately understand it — is enabling a fourth industrial revolution.

Welive in a period of the global expansion of technologies that are slowly changing our way of life on the scale of human life, but at lightning speed on the scale of world history. Real estate, which is quite conservative in nature, is also influenced by various technological trends. Along with the already established “FINTECH”, we are increasingly hearing the term “proptech”, which is a derivative of two English words: property (real estate) and technologies (technologies). Proptech literally means technology in real estate. In fact, it is both an industry and a set of innovations designed to change the way we explore, rent, buy, and use real estate.

Tableau Software as data visualization tool for non-dev users. Advantages and disadvantages.

According to the WHO, around 15% of people all over the world live with some kind of disability. There are four main categories of disabilities, and each of them require specific technologies, tools and programs for the disabled person to be able to take full advantage of the benefits of the Internet.

Learning data science from the basics is pretty similar. I can tell you because I was in this situation before. I dived into data science a few years ago, having no idea what exactly it is for and how to learn it. What I knew was that data science is about solving problems and it was going to be ‘the sexiest job of the 21st century’. I was young and naive so I went for it. Afterward I must admit that I don’t regret it. Anyway, this text is not about why you should become a data scientist but how to become one. If you were told similar things and you wonder how the hell to start doing this ‘sexy data science stuff’ and how to find your first job, I’ll try to help you a bit.