Database Analysis Before Software Development

Written by: Perfiles Tecnológicos

Currently, there is an infinity of technologies and design styles focused on the storage and management of information, which facilitate the creation of databases. Therefore, talking about which is the best technology or the best design will depend on several factors, among them professional and personal opinions.

However, it can be stated that when designing a database, the information is grouped considering how to provide the customer with a quick and efficient access to the system, while protecting its integrity and security.

But, why is it important to make an analysis of how to build a database before starting the development, instead of designing it along the way? To answer that question, this process may be compared to building a house. It all starts with the foundations that support all the structure, giving it stability and making it safe. Now, what if these were poorly built? Well, they could be repaired, which would imply a high cost, most probably it would be necessary to rebuild or reinforce some walls, or in the worst-case scenario, invest a lot and still end up with a crooked house.  Following the same line, databases are like the foundations of systems or applications. When they have a bad design, it will probably result in performance issues, high maintenance and redesign costs, or well, the need to create a new system entirely.

This does not imply it is impossible to make any changes to a database while the system is under development, or once it is in use. However, it is important to clarify that said changes will have a high impact on the time and cost of the system, since the most advanced it is at the time of the modification, the bigger the overwork and redesign will be. And it can all be avoided.

Previously, we answered: why is it important to have a good design? But we have not yet responded why not developing the database at the same time the application is being developed? Retaking the comparison with the construction of a house, what would happen if, while someone builds the foundations, another person begins to build the walls? It is possible that the walls will not not fit properly or that the wall-builder will have to wait for the section of the foundations to be over, to finish their job. Similarly, it is possible that, when designing the database together with the system, developers run into dependencies that make them pause their tasks while finishing the development of the segment that needs attention before they can continue with their task. Another possibility is duplications or a bad application of normal forms, once the system is finished, which would require the redesign of some functionalities or modules to solve these problems. 

It is true that the most advanced teams are capable of developing under assumptions that in the future there will be a place for storing the information, or creating the structure of the database at the same time they are developing. However, we cannot confuse this working style with lack of planning, since, to perform this kind of work, a team needs millimetric planning.

To give it more perspective, let us imagine that someone hired a construction company that provides a plane and diagrams before starting with the structure, in a way that all builders know where everything will be before starting. This is known as an analysis and planning phase, which is the same for development teams.

In other words, we can develop the application at the same time that we create the structure of the database, as long as we have all the resources that are necessary to manage the project and, at the same time, keep them constantly updated each time there is a change in the system.

In conclusion, when analyzing and planning databases or any other project before having started, the team members will be capable of managing work at their best by foreseeing possible inconveniences and avoiding unnecessary expenses, in addition to allowing a better adaptability to the changes that will mostly reflect in the early stages of the development, proving the team with a better adaptability and no need to overwork.

It is important to remember that the bigger the workload in early stages of the project, the fewer complications there will be at the end, and the result of the project will be better as well.

“Setting a target is not the most important. Deciding what you will do to achieve it and adhere to the plan, is”- Tom Landry

React Native Companies

This tool is one of the most popular for creating applications and that is why many companies see it as their best solution. Before going through some examples of which companies have opted for React Native, let’s first see what it is and what it can do.

It is a JavaScript framework to create real native applications for Android, iOS and it’s based on the JavaScript React library for the creation of visual components, changing the main mission of the same so that, instead of being developed in browser, runs directly on native mobile platforms. That is, instead of developing a hybrid or HTML5 web application, you will end up with a real native application, indistinguishable from the one you could develop with your Objective-C/Swift or Java code.

Well that’s what is in the books, but this is what React Native really does:

React Native uses the same fundamental UI block building paradigm (which are the visual components the user interacts with) as the real native Android and iOS applications, but manages the interaction between them using JavaScript and React capabilities.

These are the different functionalities this tool offers: instant updates, native functionality, cross-platform compatibility, simple learning curve and positive experience for the developer.

Talking about examples and the React Native companies that bet on this tool, we find the following:


The developers of this famous social network managed to push forward the application with React Native, despite the difficulties they faced. Still, the decision was the perfect solution to update the existing application due to code reuse. The engineers faced various problems in the development process, but managed to avoid numerous expenses since React Native was only used to integrate some functions in the native application.


React Native started when the Facebook hackathon project was developed in response to the needs of the company. Facebook wanted to provide all the benefits of web development, like fast iterations and having a single team to develop the entire product, for mobile devices. This is how React Native came to life and was leveraged on the development of mobile apps for iOS and Android.


Bloomberg’s new mobile consumer app for iOS and Android offers customers a streamlined and interactive experience with easily accessible personalized content, videos and live streams featured in the Bloomberg media.

A team of engineers at Bloomberg’s New York City headquarters produced the application using React Native technology, the core tool that truly delivers on the promise of cross-platform native application development.


Walmart had already played with innovations and one of its first bets was with Node.JS. Now, its mobile app also works with React Native.

With this move, Walmart has a better performance of its application, both on Android and iOS. This is because fewer resources are used and in a shorter period of time. The code base, about 96%, was shared across all platforms, while other benefits such as developer experience and skills were leveraged across the company.

Discovery VR

Discovery VR brings adventure to an app through VR or 360 videos. The app also hosts exclusive content from shows like Deadliest Catch, SharkWeek, etc. The app’s user interface is written in React Native and offers a perfect virtual reality experience for users.

As a conclusion, the shared examples make it clear that React Native has the potential to develop mobile applications, at any scale, idea and type of content. The use of this technology is growing rapidly due to the wide range of possibilities it offers when developing Mobile Applications.

Posted in ITO

Python: Versatile and Mature Programming Language

It is an old programming language presented in a large number of applications and operating systems. It is very easy to find on servers, in iOS, Android, Linux, Windows or Mac applications. All this is due to a moderate learning curve and it emphasizes giving you a readable code syntax.

Python is a versatile multi-platform and multi-paradigm programming language that stands out for its clean and readable code. One of the reasons for its success is that it has an open source license that allows its use in any scenario. This makes it one of the first languages a lot of programmers get taught in schools and universities all around the world. In addition to this, there is a large amount of companies that make this an intensive use. Such is the case of Google, Facebook or YouTube, since it allows, among other features, the automation of processes and task execution in both client and server environments.

In summary, these are the main advantages of programming with Python:

• Simplified and fast: this language greatly simplifies programming, it is a great scripting language.

• Elegant and flexible: The language offers many facilities to the programmer as it is easily readable and interpretable.

• Healthy and productive programming: it is easy to learn, with a moderate learning curve. It is very easy to start programming and boost productivity.

• Neat and clean: it is very legible and its modules are well organized.

• Portable: it is a very portable language. We can use it in practically any system today.

• Community: it has a large number of users. Your community is actively involved in language development. Python is an excellent choice to work with a large amount of data, thanks to it being a multi platform language that facilitates data extraction and processing.

For this reason, big data companies will always look for a Python Company. Below are some examples:


It was 2016, when the Instagram engineering team claimed they were running the world’s largest implementation of the Django web framework, which is written entirely in Python. Since then, the Instagram engineering team has invested time and resources to keep their Python implementation viable on a massive scale.


According to a 2016 Facebook post, Python is currently responsible for multiple infrastructure management services. These include using TORconfig to handle network switch configuration and imaging, FBOSS for white box switch CLI, and using Dapper to schedule and run maintenance tasks.


Netflix uses Python to power its data analysis on the server side. However, it doesn’t just stop there. Netflix allows its software engineers to choose the language in which to code and they have noticed a huge increase in the number of Python applications.

In conclusion, we can say that, besides the 3 decades that Python already has, it is a mature language that is in a continuous evolution process. Simplicity, versatility, and its power have made it an off-road programming language that can help boost digital literacy for broad sectors of the population, making programming accessible to people and professionals of all kinds.

Do You Know Microsoft 365 Security?

Our partner Microsoft has a good variety of technological solutions. One of the most well known is its tool Microsoft 365, which incorporates portals that assist with the management and measurement of security in its platform from a central point, through what IT admins know as administration centers.

Microsoft 365 is a solution made up by two types of categories, Microsoft 365 Enterprise and Microsoft 365 Business; the first one focused on big companies and the latter on companies that do not go over 300 employees; however, there may be particular needs from an organization that cause the usage of this solution to vary regardless of the amount of users. The security aspects are inalienable, since the entire organization requires peace of mind when performing their operations. Because of this, Microsoft 365, through one of its applications Microsoft Threat Protection, applies techniques for prevention, research of and automatic response to attacks in protection of identity, email, and apps. On the other hand, and when it comes to security against advanced threats in company networks, it is complemented with ATP by Microsoft Defender (mjcaparas, s/f), and even more specifically, it can also add up a solution called Microsoft Office 365 Advanced Threat Protection (ATP), which filters email and helps protect the organization against viruses and malware from day 0, as well as protecting from ill-intentioned links in real time.

These tools may give really valuable reports for companies to have an idea of what happens in its platforms, and apply controls according to real data, therefore applying the security budget properly to continue with its operations confidently.

Written by Perfiles Tecnológicos

Node js development services

NodeJS is a technology for the development of applications with a universal purpose. It basically consists of a Javascript execution platform, which is known as a “runtime”, on which all types of programs can be executed.

To explain it in a more practical and understandable way, NodeJS is the Javascript language taken from the browser context. Those who set out to invent it knew how to assess the power of the Javascript language and used the “V8” engine (the open source Javascript engine of the Chrome browser) to create an execution platform capable of taking advantage of the popular language to undertake a wide variety of Projects.

With NodeJS you can build traditional web applications, such as websites. In fact, there are several CMS projects based on Node. However, the most common use of NodeJS is the development of web services that return data in JSON format, which we usually call a REST API. Also with Node we can build multiplatform desktop applications, which have a capacity compatible with Windows, Linux and Mac, as well as console programs. Many day-to-day developer tools are made using NodeJS, from publishers such as Atom or VSCode, to task automaters such as Gulp or asset packers such as Webpack or Rollup.

One of the main characteristics of NodeJS is to undertake many tasks with low resource consumption, which makes it especially interesting for the development of high concurrency services.

Among the main advantages of Node JS are: Speed (runs on Google’s JS engine), I/O paradigm without blocking, data transmission (HTTP requests and responses as a single event), same language (javascript), both on the client and on the server, unified database queries (JSON format), easy and fast coding, good package management thanks to NPM (and Yarn), proxy server capacity, fast development cycles and business logic in the server.

But in case you are still not convinced of the importance of Node JS and its service development, here are some of the companies that use it:

1. Uber: The platform for sharing trips. Uber, is one of the best examples of Node.js applications. The company has doubled in size every 6 months in the last two years. Why? Node.js is ideal for distributed systems that carry out many network requests in order to quickly process large amounts of information. It also has a very intuitive error analysis and rapid code deployment and has constant technological improvement due to the open source community.

2. Ebay: the American e-commerce giant has huge traffic and wanted to work with proven technology. Finally, they chose Node.js, still quite immature at that time, because of the need to make the Ebay application in real time as possible. In addition, they wanted me to maintain an active connection with the servers since, their main objective was to organize a large number of specific eBay services that displayed information on the page, for example, the management of operations linked to I/O.

3. Netflix: The renowned streaming television company chose Node.js for three reasons: the ease with which JS developers learn it, the fact that it eliminated the need to write code twice and high performance. Also with Node.js they reduced compilation times and enabled user customization. As a result, the Netflix team has improved the application loading speed by 70%.

Written by Kambda

Python Web Development

Web development evolved rapidly. One of the latest bets on the market, with a huge implementation among the community of American developers, is the Python programming language, which allows projects to be carried out in an agile and versatile way. The syntax, written in the late 80’s by Guido Van Rossum – already for version 3.5.0a4. – has become one of the essentials if you are a software developer.

If your idea is to learn python web development, one of the first questions you will have, almost certainly, will be related to what and in what it can be used. Well, the answer is as complicated as the question, because Python can be used for many applications, but if you have to be more specific, we can say that there are applications that are the most popular: data science including machine learning, data analysis and visualization; Web development and Scripting. Let’s see what each one is about.

Data science: Machine learning normally implements an algorithm that automatically detects a pattern at the given input. For example, you can give 1,000 images of a dog and 1,000 images of a table to a machine learning algorithm. Then, you will learn the difference between a dog and a table. When you give it a new image of a dog or a table, you can recognize which one it is.

You can apply the same idea to recommendation systems (think of YouTube, Amazon and Netflix), Face recognition or voice recognition among other applications.

Popular machine learning algorithms that you may have heard about include neural networks, deep learning, support vector machines, random forest … any of these algorithms can be used to solve the dog’s image tag problem and table.

Python for machine learning

There are known machine learning libraries and frameworks for Python. Two of the most popular are scikit-learn and TensorFlow.

Scikit-learn comes with some of the most popular machine learning algorithms incorporated.

TensorFlow is more a low-level library that allows you to create custom machine learning algorithms. If you are starting with a machine learning project, it is recommended that you start with scikit-learn. If you start to find efficiency problems, then you would start researching on TensorFlow.

Web Development: Django and Flash, for example, are Python-based web frameworks. These frameworks help create server code (backend code) in Python. That is the code that runs on your server, unlike users’ devices and browsers (front-end code). Here it is necessary to explain that a web framework is needed because it facilitates the creation of a common back-end logic. This includes correlating different URLs with Python code snippets, dealing with databases and generating HTML files that users see in their browsers. Django and Flask are two of the most popular Python web frameworks, more if you’re just starting.

Scripting: this refers to writing small programs that are normally designed to automate less complex tasks. Python is suitable for these types of tasks, mainly because it has a relatively simple syntax and is easy to write. It’s also quick to write something small with it and try it.

Written by Kambda