React vs Angular – What professionals choose in 2023 | KoderShop

React vs Angular – What professionals choose in 2023 | KoderShop

Angular vs React

Angular vs. React. Is react better than Angular?

Picking the right JavaScript structures is a genuine disarray. Particularly when you have a great deal of choices that are ingenious and equipped for working with the undertaking necessities. However, picking the one for the right arrangement of ventures requests information on a few basic viewpoints. A lot of people start by asking is React better than Angular? I belive that we should dive a little bit more in depth so that we can come to a sensible conclusion because each of them has it own uniqueness.

We will take care of a portion of the fundamental places here by making a fair examination of Angular vs React.

What is Angular?

Angular is an improvement stage based on the typescript. It is a part-based structure for building versatile web applications. It has an assortment of very much incorporated libraries and highlights like client-server correspondence, directing, and the sky is the limit from there. Angular is a full-fledged MVC framework so once you learn it well, you won’t need other solutions. Besides, it’s continually refreshed innovation with its most recent advancements drove by the Angular group at Google.

What is React?

React is an open-source JavaScript library utilized for frontend improvement. It is utilized for building UI or UI parts. Its part based and revelatory characteristics let designers make intuitive and complex UIs without any problem. Designers can assemble quick and versatile applications for all stages because of its “advance once compose anyplace” rule. React is overseen by Facebook and a local area of individual engineers and networks.

Angular vs React : Which JS Framework your Project Requires?

I have an affection and “hate” relationship with all the frontend framework structures. It is very entertaining or rather ridiculous on the grounds that a lotof times, I have been getting everything rolling with the new framework, making a web application, I get stuck. For a really long time.

At one point, making the least complex of the highlights work appears to be a major battle. It stretches out to where you at last lose confidence in your picked system. The battle is genuine!

Choosing between the two frontend stages like Angular vs React for the undertakings involves banter. The justification for why we call it a discussion is on the grounds that we need to limit the disarray. Having said that, a lot of our clients request that we recommend the best frontend framework.

Be that as it may, we can’t characterize best, however we can most likely track down the contrast among angular and react and furthermore examine which is better in which circumstances. In this blog, we will examine the two most adored frontend structures. All in all, Angular or React? Let’s have a look at it.

Angular vs React Comparison

Angular is a JavaScript structure fabricated utilizing Typescript, while ReactJS is a JavaScript library and constructed utilizing JSX. Precise is generally used to construct complex venture level applications like single-page applications and moderate web applications, while React is utilized to fabricate UI parts in any application with often factor information. Angular’s expectation to learn and adapt is more extreme because of its an excessive number of in-fabricated functionalities while React more modest bundle size.

These and a few other unmistakable qualities make Angular and React on a very basic level unique, and thus, we really want to lay the shared belief over which we can look at these two. How about we comprehend the specialized determinations first with the assistance of the diagram given beneath.

Among its fundamental distinctions are:

  • Angular was delivered in 2009 and React in 2013
  • Angular is great for making intelligent and high client commitment applications, while React is ideally suited for huge applications where information changes regularly.
  • Angular works with a genuine DOM, while React utilizes a virtual DOM
  • In size, the two advances are little and high in execution.
  • Angular permits UI plan attached to the level item or property level, while React interfaces straightforwardly to the UI configuration state.
  • In information restricting, Angular is one way, and React is two way.
  • Angular expectation to absorb information is steep, being one of the most convoluted systems for engineers to deal with, while React is one of the simplest to learn.
  • In cost, both are open source technologies.
ReactJS versus Angular

React vs Angular features:

React Features


  • Virtual DOM: a programming concept where an ideal, or “virtual”, representation of a UI is kept in memory and synced with the “real” DOM by a library such as ReactDOM, it allows fast application development
  • JSX : it is a syntax extension to JavaScript that helps convert HTML tags into React components. To put it in another way it allows us to insert and combine HTM: with custom tags directly in JavaScript code.
  • One-Way Data Binding: ReactJS uses one-way data binding feature. In other words the data flow is unidirectional, which allows developers to have more control over mobile and web applications.
  • Declarative UI: The declarative approach is when you describe the final state of the desired UI.

Why use ReactJS?

For starters ReactJS is easy to learn. You can get the grasp of it in a very short time. The use of simple JavaScript component-based approach. React can be also used to make mobile applications. So we can create applications on IOS, Android and Web. Lastly the testing part is easy, React view can also be treated as fuctions of state so that we can manipulate them with the state we pass to ReactJS and have a look on the outputs and trigger action, event, fuctions etc.

Angular Features


  • MVC Architecture: Model-View-Controller or MVC, is s an architectural pattern that separates an application into three main logical components: the model, the view, and the controller.
    The Model component administers the application data, while the View component monitors and ménages your data display. On the other hand the Controller component makes the connection between the model and the view layers.
  • Two-Way Data Binding: Two-way binding gives components in your application a way to share data. Use two-way binding to listen for events and update values simultaneously between parent and child components.
  • TypeScript: TypeScript defines a set of types to JavaScript, which helps users write JavaScript code that is easier to understand.
  • DOM (Document Object Model): treats an XML or HTML document as a tree structure in which each node represents a part of the document. Consider that ten updates are made on the same HTML page. Instead of updating the ones that were already updated, Angular will update the entire tree structure of HTML Tags.

Angular Benefits:


Angular benefits

When do we use Angular?

Use Angular once you have to be compelled to style web applications for every kind of environments, especially when:

– Dynamic web applications: wherever the content and a few elements area unit displayed in line with the user World Health Organization is accessing and also the shopper (web or mobile) that’s overwhelming.
– Business-level net apps: due to matter, you’ll be able to style applications by reusing elements and completely different modules. Also, with the big variety of libraries, you’ll be able to save loads of labor throughout the project.
– Single-page apps/progressive net apps (SPA/PWA): If you wish to style minimalist however extremely dynamic apps, Angular is that the answer.


React vs Angular Popularity

The notoriety of a specific Javascript structure or web innovation can be an incredible wellspring of data and bits of knowledge. Taking a gander at these details will assist you with get-together responses to questions like:


  • Is this technology something serious?
  • Is there (and will be) interest for this technology?
  • Will it be not difficult to track down and recruit designers?
  • How enormous is the local area?
  • What sort of assist with canning I anticipate from the local area?
Angular React downloads
Source: Stackoverflow 2020 survey As we can observe in the above chart, React has more downloads than Angular. The number continues to grow, contrarily to Angular, which tends to remain mostly on the same levels. According to the Stack Overflow survey I’ve just mentioned, more developers said they choose React over Angular: 31.3% of React.js vs. 30.7% Angular. Another survey from JetBrains shows that:
  • 54% use React
  • 23% use Angular 2
Result: React is popular and hightly regarder and each year more developers choose React over Angular

Performance: React vs Angular

Potential performance concerns arise from Angular’s use of a Regular DOM, especially when a lot of UI elements and web page data are present.

In summary, due to more effective state change and Virtual Tree updating, React’s Virtual DOM is recognized as being significantly faster than Angular’s Regular DOM.

All in all : Angular or React?

Eventually, we’d like to urge to the place wherever we are able to opt for anyone innovation. may we? ReactjJS could be a go-to selection for one cluster since they might have to be compelled to develope AN application out of a bit expectation to find out and adapt. whereas building AN enterprise grade application with huge flip of events, teams will choose Angular since the larger expectation to soak up info is not any bar for them.

All things thought-about, ReactJS is to a point selecting simple} technique for taking care of business since it hasn’t tons of to try to to with checking out markup language but rather has the foremost straightforward ways in which of reusing the UI elements. whereas Angular is separated from everybody else equipped for taking care of varied things on their own while not relying upon any additional help, on these lines, it’d seem to be attention-grabbing directly. Be that because it might, the benefits predict the additional broadened plan and overweigh the time contributed.

10 Mins to Grasp Requirements: Function vs Non Function – KoderShop

10 Mins to Grasp Requirements: Function vs Non Function – KoderShop

System Integration

Lay the Foundation Right: Functional and Non Functional Requirements


Imagine a trivial developing process: a simple idea, simple implementation. The developer evaluates the requirements of the customer and declares that he will cope with the task in such and such a time frame with such and such a budget … and gets to work. But suddenly things don’t go according to plan. Deadlines are missed, budgets are wasted, both sides are nervous, and finally all this leads to the failure of the project. How did it happen?

Many projects fail even before they start, but both the developer and the customer may not even be aware of this. It’s all about the wrong writing of functional requirements and non functional requirements This is what causes most development project failures (60-70% according to sundry sources). Below we talk about what exactly they are in practice, what’s the main difference between functional and non functional requirements (with examples and also learn how to word them correctly in order to avoid unforeseen waste of time and money.

The Concept of Functional and Non Functional Requirements

By functional requirements, we mean the actual functions of the software product. That is those features of the software or its individual components that are necessary for the user to complete the tasks. Any function of any program fits into a simple scheme: data input → system response → data output. This includes any calculations, starting or stopping business processes, interacting with users, automating management control systems, interface (response to pressing a certain button), and much more.

Simply put, functional requirements are WHAT the system must be able to do.

Non functional requirements definition is HOW the system should work in certain situations. For example, how fast the program processes data or how many users can simultaneously work in the system.

Non-functional requirements improve usability but do not define the capabilities of the software. At the same time, nonfunctional requirements may relate not only to the software system itself: some may relate to the technological process of creating software, and others contain a list of quality standards imposed on the development process. In addition, the non functional requirements template may state that system design should only be performed by certain CASE tools, and describe the design process to be followed.

Some argue that meeting non functional requirements is not necessary for the program to work correctly, but it is desirable. Based on this, it can be assumed that non functional requirements in software engineering are not as important as functional ones. This is true, but only if your software has no analogs at all. Otherwise, you will just look for a more convenient option. In addition, there is another reason to take a closer look at non functional requirements. And we will talk about it now.

The Blurred Line Between Functional and Non Functional Requirements?

So, we have already understood what is the difference between functional and non functional requirements. However, is it always so obvious? For example, you would most likely classify system security requirements as non functional because security is not a function of the software. However, to ensure security, the developer needs to prescribe the functionality of user authentication, assigning roles and access to them. All this will be implemented in the form of functions that users will have to work with.

Another example  is the interface, which we referred to as functional requirements above. You may have noticed the note in brackets, which says that the function itself is implemented here as a button, and the requirement is put forward for the program’s response to pressing it. At the same time, the external interface is often referred to as a non functional requirement, because in itself it is not a function, and only affects the usability of the program.

That is, the line between functional and non functional requirements is clear in some cases and blurred in others. This is the second reason why non functional requirements should be taken as seriously as possible.

To put an end to this issue, we propose to consider a generalized classification of function and non function in order to better understand their essence.

So, Types of Functional Requirements:


  • Business Requirements for software. These are the requirements that define the business goals and what functions the program should have in order to achieve these goals;
  • User Requirements. User requirements definition is the goals of specific users and a set of tools to achieve them when working with the program;
  • Functional Requirements. Define the very “system response” (the second step in the function scheme described above), the correctness of which will allow users to perform tasks using the developed program.

Non Functional Requirements List:


  • Business Rules are corporate policies, accounting practices, internal regulations, as well as any external rules, such as legislation, that the software must comply with;
  • External Interfaces are customary to refer to non functional requirements because the interface does not directly affect the functionality of the software;
  • Quality Attributes are requirements for the characteristics of a software product, which determine the possibility of porting, scalability, capacity, reliability, etc;
  • Constraints – a list of conditions aimed at reducing the number of program scenarios to optimize resource costs.

functional requirements

How to Prepare Functional and Non Functional Requirements?

Most often, the functional requirements of a system are submitted by the customer in the form of a text description, which describes in detail what and how the system should do under certain conditions and to achieve certain goals. However, this is far from the only and perhaps not the most demonstrative way to convey to the performer what you want from the software.


Usually, the form of diagrams and models is chosen. When forming the requirements for the project, you must be aware of the importance of their clarity for the contractor. Diagrams and models can often be more descriptive than long text descriptions. In addition, they allow you to quickly and simply explain how processes should work inside the system.

Use Cases

Use cases are one of the most common (after textual descriptions) ways to form requirements. Use cases can also be designed as text or infographics, but their main difference and feature are that the requirements are described from the point of view of the end user of the software product. This option is often used because it allows you to describe the requirement in detail without having special technical knowledge.


Use cases contain three required components:

  1. System user (Actor)
  2. The system and its “responses” under a certain scenario (System)
  3. The goal of the user working in the program (Goal).

    Use Stories

    A more complex version of use cases. These show not only what your software must do from a particular user’s point of view, but also specify the acceptance criteria. For example, when a system administrator sets up access rights for a new employee, that employee should receive an email.


    A kind of demo of the program or its components, which clearly demonstrates how certain program functions should work. A properly working prototype can later become an MVP (minimum viable product).

    Functional decomposition

    Also known as Work Breakdown Structure (WBS). It is a way of formulating requirements by breaking down a complex process into several simple functions. That is, to explain how this or that complex process should work, we consider its stages separately, and put them together like a puzzle to understand the big picture.

    On a Final Note: Requirement Documentation in Software Engineering

    Thus, the proper formulation of requirements can be the solid foundation on which a successful developing process will be built. The functional requirement analysis in software engineering is a really important stage. It is necessary to document the list of functional requirements and non functional requirements correctly, as this will allow you to clearly outline the scope of the budget and implementation deadlines, convey to the contractor all your wishes regarding the final result and carefully work out all the points before starting work, as well as minimize risks.
    It is also appropriate to clarify here that documentation is only one of the stages of working with requirements. It is preceded by the collection and analysis of requirements, for which special working groups are involved (they include users, developers, architects, testers, support engineers, and other employees of the customer and contractor involved in the development). However, in practice, these processes often go hand in hand.

    System Integration – Concepts, features and who are Integrators

    System Integration – Concepts, features and who are Integrators

    System Integration

    System integration. Moments that everyone should learn


    In this article, we want to talk about when the integration process will come in handy for you and how it will be useful. We wanted to help you identify your needs so that you could weigh all the pros and cons before the work begins.

    Over time, it is time for every enterprise to expand, and this applies not only to the number of workplaces but also when there is a need to integrate the technologies that were used. In other words, your business has outgrown your software. This is where System Integration comes in.

    Next, we will consider what are the solutions of System Integration, the steps and why it is needed in general.

    Definition of system integration and what result it gives

    System integration is the unification of all components and subsystems into a single system in such a way that the system will be able to provide common functionality.

    As a result, you receive:

    – Data reliability and accuracy will be ensured;

    – Better performance of all systems;

    – Instant analytical solutions;

    – A cheap option for performing works;


    Common integration services for various business areas

    Legacy system integration

    By an outdated system, we mean outdated computer or hardware that the company uses, but it no longer allows productivity growth. Applying this integration process, new, modern applications are added. For their part, they will help establish communication channels with newer systems. From this, the productivity of the company’s root will only increase.

    Enterprise application integration (EAI)

    Enterprise application integration is the technology that brings together multiple applications used in the same organization into a single process and implements data format conversion between them. As companies implement more and more applications for their activities, there is a need to combine them with each other. The applications themselves contain a large amount of information alone. With the help of integration, applications will enter into one system chain so that data is exchanged between them around the clock.

    Third-party system integration

    It’s easier here. Your company is planning to add a new product to the system, but there is a lack of time and money. Therefore, it borrows an existing system or application (usually by agreement with a third party, a development company) and integrates the novelty itself.

    B2B integration

    Thanks to the automation of the main business processes, this integration will give the flexibility to communicate with each other to several companies. That is, B2B is the direct integration of several businesses of different companies into one established data transfer mechanism.

    Step-by-step preparation for system integration

    Every company wants to modernize their systems and at the same time make the right investment. But you need to understand that sometimes you can’t do without the necessary tactics. Let’s take a closer look at the stages of preparation for integration or system migration.

    • Analysis of the planned project
    • Simulated architecture
    • System testing
    • Diagnostics


    These four stages are more or less familiar to us, but in addition let’s talk about the stages of Simulated architecture. Here are some possible models.


    Point-to-point integration, or P2P integration, involves using special code to connect two applications. Multiple technologies can be used to write code, which means your team can build a network of point-to-point integration using different programming languages.

    The hub and spoke model refers to a distribution method in which there is a centralized hub. Everything either comes into the center or is sent to the center for distribution to consumers. From the center, data are routed to smaller company-owned locations called “spokes” for next processing and distribution.

    An Enterprise Service Bus (ESB) is essentially an architecture. It is a set of rules and principles for integrating multiple applications together through a bus infrastructure. ESB products allow users to create this type of architecture, but differ in the way they do it and the capabilities they offer.

    Here we tried to explain how and which model works, but these models may not be the only solution to the problem. I would like to add two additional platform-related processes that you may encounter during integration.

    Additional options for how to integrate the system

    If these architectures (which we described above) did not suit you as a solution, for example, due to the complexity of your software. Let’s look at cloud platforms with two options for deploying integrations using them.


    Integration platforms (iPaaS) are created to support cloud solutions/systems. The iPaaS solution is designed to manage integration from cloud applications. Integration platforms (iPaaS) are created to support cloud systems. The iPaaS solution is designed to manage integration from cloud applications. That is, this platform combines information into a single service, and users get access through the main page/login. Applications can be scattered across cloud storage, and Ipaas will give them the flexibility to communicate with each other. The solution is suitable for applications that will work around the clock and also simultaneously includes various models of integration solutions. This integration platform provides a number of opportunities with the help of which you can build good complex solutions with minimal time costs. The only known downside is security due to public access to the cloud.

    Hybrid integration platform

    This platform is more convenient than the previous one because it allows local solutions to be easily and safely integrated with cloud applications. This enables companies to accelerate innovation, increase efficiency and reduce all risk factors during integration. Includes user support at various levels, automates routine processes. The platform also provides communication between legacy programs that run even on physical hardware. Communication between programs and databases in confidential clouds and systems operating in publicly available ones. Supports communication with any systems, even with normal configurations. There is a high level of security here, while the systems are outdated. This HIP will help you to combine local and cloud solutions in the company.


    Today, there are many global system integrators and companies that provide planning, design, implementation, and project management of solutions that meet the business and technology needs of their customers. And their main advantage is that they have a system integrator.

    What is a systems integrator?

    It can be not only a person but also a system integrator company. With the help of the services of such a person or company, you get a guarantee that all your systems will work smoothly during the integration. It can be a software integrator, a control system integrator, or even a remote system integrator, depending on your need. They can perform various tasks because they have the necessary experience and resources. You do not waste your time, but hire a qualified team that will control the entire process and performs the integration with the lowest risks. System integration is a long process for every company, so company integrators will familiarize you with the integration process in advance, conduct system integration testing, and also provide support at various levels while working with them.

    NET Core – What Is It? Full technology overview

    NET Core – What Is It? Full technology overview

    Net Core

    .NET Core Technology


    What is Net Core? Is a progressive application development technology. To analyze NET Core technology, you need to understand what this technology is needed to understand what it is and define it.

    Net Core Framework is a new branch in the development of the platform .Net which makes it possible to use applications in other operating systems originally developed for Windows. Nowadays, the concepts of Net Core are often not separated .Net Framework, these are synonyms. This technology solves one of the most difficult problems in terms of development: moving away from the dependence of the software part on the architecture, operating system, libraries, etc.

    Beginning of NET Core

    The first and most successful opportunity to unify the software environment in the Windows operating system family was the platform .Net the development of which was still carried out at the beginning of the XXI century. The main idea of this technology, as the foundation for Net Core, was to knead a certain layer between the operating system and the application, allowing you to adapt the requests of the operating system to the software and back, acting as a kind of unified translator.

    It is also necessary to clarify that this development has become not only successful but also open code, which contributed to making this product very popular and rapidly developing. In 2014, an independent organization was established: .NET Foundation, and all the platform code was posted publicly on Git. Since 2016, development has only been accelerating, at the moment more than 10 new versions have already been released.

    Net Core Architecture

    The fundamental parent of Net Core is the DotNet Framework, despite this, despite the fact that the functionality was inherited, it has been greatly improved. The main innovations in this system are the use of cloud technologies, additional functionality for modularity, and cross-platform. Modularity in this case plays a very important role in the decentralization of updates: each of the components is updated through a different manager, which in turn allows each module to be updated separately, without depending on other modules or on the platform as a whole.

    Current status of Net Core

    At the moment, Net Core has the ability to work in 3 major operating systems and in most of their heirs. This is Windows, Linux, and what is especially interesting: Mac OS.

    However, it should be had in mind that at the moment it has not been possible to get absolute compatibility. For example – the possibility of using Windows Forms has not yet been implemented. Also needs to be clarified that all platforms inherited from .Net Framework have the ability to use common code.



    All structured data is stored as text and numeric values. Usually, CVS and XML formats are used for this. The format is predefined in the data model.

    Unstructured data is presented in native formats. These are MP3, WAV, OGG, FLAC, etc. for audio, JPG, PNG, TIFF, etc. for images, PDF, DOCX, TXT for any writings and e-mails, post and comments and other formats.

    Structured vs Unstructured Data: features and gaps

    Structured vs Unstructured Data: features and gaps

    Complex might be simple: structured vs unstructured data


    In 2018, the global data set was about 33 zettabytes (ZB), and in 2025 this figure will grow to 175 ZB. Such a huge amount of by humans in just a couple of decades must impress. Most of this data (about ) is unstructured. In this article, we explain in simple terms what structured and unstructured data are, what their gaps are, and how they can be used in different areas of human activity. Get ready, it will be interesting!

    Structured Data

    Feautures of structured data

    Structured data is presented in tables. That is, they are part of relational databases and can easily penetrate the structure and algorithms of the RDBMSs. Thanks to this, they are easy to find, count, process and highlight the interconnections between them. Structured data can only be used for the intended purpose. For example, when ordering something on the Internet we always send some personal data to the database of an online store. After, the system brings all the information, which provides both efficiency and safety for the buyer. That’s why you don’t have to worry about potential risks when making a purchase.

    The analysis of structured data takes place in the data warehouses (DW). This is a storage that is used by an enterprise to analyze and process large amounts of data.


    To work with structured data effectively, IBM created the Structured Query programming Language (SQL). It was this programming language that formed the basis for the development of relational databases and DWs.

    Features of unstructured data

    Generally, the difference between both structured and unstructured data is the form of recording. While all structured data is covered in a single table, unstructured data interconnections are only covered within the native data format, be it an image, text, audio file, or whatever.

    The processing of unstructured data by classical methods is impossible because they are in their “raw”, original form.

    To work with it we use non-relational databases (NoSQL). The term “NoSQL” has been expanded to mean “Not only SQL”, which means support for potential SQL interfaces in every non-relational database engine. Application developers who use NoSQL solutions do not necessarily exclude relational databases, but instead, see the value of using each of the data stores correctly to solve the corresponding task.

    Based on the data in the raw form is a lot of space, special storage systems called data lakes are used to store them.

    Structured Data

    The Gap: structured versus unstructured

    Structured data appeared much earlier than unstructured data. As a result, we have enough tools for working with the first, while there are much fewer tools for analyzing unstructured data (many of them are just being developed). The most popular tools for working with structured data:

    • PostgreSQL. It is a free and open source database management system. The system supports SQL and JSON queries and all popular programming languages ​​(Python, Java, etc.).
    • MySQL. Possibly the most popular open source system running on a server.
    • SQLite. A lightweight system that “embeds” in the software product, so that it does not depend on the server.
    • Microsoft SQL Server. RDBMS developed by Microsoft. Allows you to store and work with structured data at the request of third-party software.
    • Oracle. System developed by Oracle Corporation. Its main feature is the multiverse of data, which allows you to manage parallel transactions.
    • OLAP-applications. The components of software products of the Business Intelligence class, OLAP-applications allow you to work with huge arrays of data, structured according to a multidimensional principle.


    Until recently, unstructured data management had to be manual which took a lot of effort and time. However, with the development of machine learning we’ve got tools for selecting, analyzing, and managing unstructured data. Let’s give some examples.

    • MongoDB is a classic example of NoSQL. It is a document-oriented system that does not require the description of table schemas. Uses JSON-like documents.
    • Apache Hadoop is another example of a platform for processing large amounts of unstructured data. Hadoop does not require a predefined structure of stored data and allows you to process large amounts of information and export it to relational databases, which means structuring unstructured data.
    • Microsoft Azure is the development of Microsoft for cloud computing in distributed data centers. The data itself is written to the Azure Cosmos DB NoSQL database.


    In addition to the tools used and the features of searching and processing data, there are some more differences that you need to understand:

    1. data formats;
    2. data models;
    3. storage methods;
    4. databases (SQL and NoSQL);
    5. the nature of the data.

    Data formats

    All structured data is stored as text and numeric values. Usually, CVS and XML formats are used for this. The format is predefined in the data model.

    Unstructured data is presented in native formats. These are MP3, WAV, OGG, FLAC, etc. for audio, JPG, PNG, TIFF, etc. for images, PDF, DOCX, TXT for any writings and e-mails, post and comments and other formats.

    Data models

    The structured data model is always organized as clearly as possible. It is presented in the form of fields of tables and data that should be stored in the tables (such and such data in such and such field and not otherwise). There are both advantage and a disadvantage here. On the one hand, such an organization of data simplifies their search and processing, but a schema violation can lead to numerous errors and even data loss.

    This does not work with unstructured data. Their model is flexible, because it allows you to store information in native formats, but this complicates working with data.

    Storage methods

    When it comes to structured data, data warehouses are where they are stored. These are repositories with a clear and understandable structure that is not subject to change. Tampering with the structure of the data warehouse can lead to data loss, the recovery of which will require a considerable resource.

    Unstructured data storage in native formats takes up much more space. Therefore, data lakes are used for this. These repositories allow you to store an almost unlimited number of raw files.

    It should be noted that both options involve cloud storage. There is also a hybrid architecture called data lakehouse that combines the features of both data warehouses and data lakes.

    Databases (SQL and NoSQL)

    Structured data in relational databases is stored as records in tables. In addition, each column of the table is marked with a label that indicates what type of data should be stored in this column. The logic of allocating data types to columns forms the schema of the table.

    In NoSQL databases, tables are replaced by data collections that contain documents (files in their original form). As long as the data is not ordered in a table, it is possible to store different data models. It is also important that there is no relationship between them. This makes it possible to increase the speed of queries and store large amounts of information, however, duplicate data often occurs in NoSQL databases.

    The nature of the data

    They also call structured data as quantitative data, meaning that there are always clear numbers and text, making it easy to count. The methods of working with such data are quite clear. These are classification based on common features, clustering, determining relationships between variables, etc.

    Unstructured data is considered to be qualitative. This means that the nature of this data is subjective, so the information you have cannot be processed by standard methods. For the analysis of unstructured data, we use artificial intelligence to identify patterns and summarize or divide data into certain types.

    Semi Structured Data

    Semi-structured data: happy medium or not?

    In the context of this article, we cannot ignore semi-structured data. This is a relatively new type of data, also known as schemaless, that involves partial hierarchization of data, but does not belong to a tabular model. Such a specific structure is used, for example, by XML and JSON, EDI messages, E-mails, etc. It is used widely in more modern databases such as MongoDB.

    There are some reasons to study and discover schemaless data:

    1. it’s helpful to refer to Web as it was a database, but Web cannot be tamped down into any particular schemes;
    2. it’s Iflexible, so might be used to organize an exchange between databases, no matter which;
    3. representing data as semi-structured can simplify the navigation.

    Working with structured or semi-structured data is much easier than managing unstructured data. It’s clear enough. However, we recall that at the moment, of all world`s data is made up exactly of unstructured data. That’s why today it’s not just desirable, but necessary to master and use all available technologies, and not be limited to anyone. This is the only way to achieve truly outstanding results.