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Author: Classic Content Dev

Hot and Trending Web Development Technologies 2018

Hot and Trending Web Development Technologies 2018

The digitisation has hiked the web development and there are, now, several ways to design a website. It is also possible to retrofit a website with several customised apps that use a mix of web technologies. However, it is important to note that not all web technologies are a good fit for everyone. The best thing to do is to go through the software documentation for each and every coding environment, APIs, and framework. But, this is a time-consuming feat. That’s when this summary of the top eight hot and trending web development technologies comes to the rescue.

MEAN Stack

MEAN.js is a software conglomerate that encompasses MongoDB, Express, Angular JS, and Node JS. Using the respective capabilities of all these programming languages and the collective capabilities of their libraries, developers can quickly undertake lengthy projects. Compatible with MacOS, Windows, and Linux alike, MEAN stack provides a uniform coding experience that is bolstered by a very powerful DBMS in MongoDB. This means faster apps, rock steady performance, and support for the MVC architecture as well. Because of JSON, MEAN stack has been running very well with digital product agencies and enterprises alike.



Source: SimilarTech

Laravel is a PHP framework that has a lot of great features. Everything is configured very conveniently in Laravel from the Object-Oriented Libraries including the Authentication Library that makes security very easy to track and tweak. It also comes with its own built-in command-line called Artisan that makes the development part quite simple. The built-in Bcrypt and SQL statements make SQL injection tactics invalid. It also comes with a template engine called Blade and database migration that makes it quite simple for almost any developer to get started. Also, it is fully equipped to respond in both JSON and AJAX as needed. Fundable under Startups uses Laravel to great effect.



Source: Stackoverflow

React JS is an open source JavaScript Library developed by Facebook that can also be converted into a framework. React avoids major DOM operations by creating a virtual DOM and uses native APIs very effectively to make it usable across several platforms very easily. It also has a syntax called JSX that combines React with HTML to create stunning websites. The best part is that the virtual DOM returns a regular webpage, which makes it quite SEO friendly with regards to other JS libraries. Since it is focused on the user interface, it is extremely easy to use for developers with all kinds of resources. Instagram, Yahoo Mail and Facebook (partially) are all built using React JS.

PHP 7 & LAMP Stack

LAMP stack stands for Linux, Apache, MySQL, PHP and with the inclusion of PHP 7, this is the preferred choice for many developers. Linux is a perfect environment for Apache, MySQL, and PHP. Apache has several inbuilt modules including mod_security, mod_deflate, mod_cache, and mod_rewrite that make the web server very easy to handle. MySQL is a simple but powerful SQL that allows lightning fast database connections and operations. PHP 7 with its JIT compiler makes script compilation and execution extremely fast. Also, PHP 7 throws an exception when it runs into an error instead of throwing a white screen of death. Scalability is a huge bonus with LAMP stack and PHP 7. So, it can be used effectively by mobile and desktop developers alike. WordPress uses LAMP stack with PHP 7 for great results.

WordPress 4.9

Popularly known as ‘Tipton’, WordPress 4.9 brings some major changes to the entire WordPress environment. Ideal for small businesses to extremely large enterprises, WordPress 4.9 includes a compiler that flags syntax errors, enhanced menu customiser UX, and improved theme switching. The new Gallery widget makes it unnecessary to install a separate plugin for the same and the link previews are really nice. There are probably millions of websites running on WordPress. TechCrunch, BBC America, and The Walt Disney Company are some of the most prominent examples.


Source: BuiltWithTrends

ASP.NET coupled with MS SQL is lightning-fast and using MS WebMatrix, it becomes very simple to design small web pages. Using ASP.NET and MS SQL is perfect for small businesses as the .NET framework offers unparalleled support for Windows OS and MVC architecture. Also, ADO.NET is perfect for data management with the .NET framework and is a part of ASP.NET. Some of the most popular websites developed using ASP.NET MVC are GoDaddy, Microsoft, Ancestry, and StackOverflow.

Magento 2

Magento statistics

Source: Creative Minds

Magento 2 eliminates the slow and cluttered feel of Magento 1 by including full caching of the web pages. This automatically reduces load time and with the new mobile-friendly themes, SEO is a lot easier. The admin interface has also been upgraded to include a drag-and-drop visual builder so that non-coders can create a beautiful website as well. There are lots of security upgrades as well, including the key integrations of PayPal, Worldpay, and Cybersource for better payment modules. Magento is perfect for building any type of e-commerce website quick and easy. Graze, Big Bus Tours, Seat Norway, and S’well have all used Magento 2 to great success.

Drupal 8

Drupal has been as popular a CMS as WordPress or Magento but the new Drupal 8 integrates a lot of new features that make it easier for content management. This includes the integrated WYSIWYG editor that makes it possible to navigate to each page and edit them separately. The mobile-friendly themes have made SEO a much easier task as it is built for the ‘mobile-first’ ideology. Drupal 8 also comes with several other integrations such as official webmail, analytics, market automation, and other plugins. Some of the most popular websites running on Drupal 8 include Arsenal FC and InStyle.

The Afterthought

It is a well-known fact that backends are usually meant for specific designs, but there are some limitations to the frontend development as well. In a world where developers get new tools and frameworks every day and the capabilities of each framework are also updated daily, there is no excuse for amateurish work. There is no one technology that is better than the rest and it is best to stick to whatever feels comfortable for development.


Author: Classic Informatics

Internet of Things (IoT): One Step Further into the Future

Internet of Things (IoT): One Step Further into the Future

AI, BI, IoT. Such abbreviations have become a to-go for the tech-savvy population. In fact, even if you aren’t a tech-enthusiast, chances of you stumbling over them is pretty high. Afterall, we all use smartphones, laptops, television and hundreds of other advanced devices.

The ‘IoT’ mentioned here is a short form for the ‘Internet of Things’. A network of connected things (and people), to be precise. This technology is tagging along with us in our day-to-day activities, thanks to the popularization of high-speed 4G or 5G broadband internet. The cost of connecting devices has gone down to several folds, more and more devices are being custom fitted with machine-readable identification tags and sensors to avail wifi facilities, and smartphones are no longer a new thing for the most of the population.

These factors have most definitely contributed to the ‘IoT’ storm we witness nowadays.

According to a study by Gartner, currently a total of 8.4 billion connected devices are in use and this number is estimated to reach a whopping 26 billion by 2020.

Three folds in three years!

Honestly, the rate with which the technology scenario is changing, this development is nothing surprising. We won’t bat an eyelash if this number surpasses 50 billion or even 100 billion.

All these numbers mean that nothing is impossible in the near future, at least on the technology front, not even a cyborg attack. But we don’t need to go there, for now.

Your smartphone is most likely to tell you if you are short of a grocery item at home, while you sit comfortably on your office desk. Or even reorder the supply from the nearby supermarket. The millions of possibilities lying ahead connected with IoT are surely mind-boggling!

Let’s delve deep into the advantages and the future prospects of this amazing technology feature!

Internet of Things: The Definition

Technopedia defines IoT as ‘a computing concept that describes the idea of everyday physical objects being connected to the internet and being able to identify themselves to other devices. The term is closely identified with RFID as the method of communication, although it also may include other sensor technologies, wireless technologies or QR codes.’

It further explains that the digitalised object here is no longer a simple ‘lone’ device. It now is associated with a number of surrounding objects and database data, apart from its user, showing ‘ambient intelligence.’

Thanks to this technology we now can save most of our precious time and space at home, in the office or anywhere else. Need a warm and comfy home? Automated heating might help you achieve that in seconds, no matter how far you’re from your apartment. They may even alert you if your medicines have expired or if your home has converted into a blazing inferno. In the case of the latter, they might direct a call to the fire department even before you get the alert message.

It is like having a loyal caretaker who looks after your health and habits, just they aren’t limited to the confinements of your home.

Key Features of the Internet of Things (IoT)

Now when we know the possibilities that come along with this glorious technology, let’s learn about its key features and how different industries can avail them for their benefit!

  • Its quick alert feature can help almost every industry with their stock (and resources) keeping, maintaining and replenishing, individual tracking, inventory control, and logistics.
  • IoT is known to deliver fast with maximum accuracy and minimum utilization of energy, a plus for all the industries.
  • Healthcare industry utilizes IoT for patient monitoring. A series of sensors are placed on the patient’s body that helps deliver accurate vitals and details to the doctor-in-charge so they take an apt action without risking the patient’s life.
  • IoT is a vital part of the home and office security devices, of course. Whether you talk about security alarms, surveillance cameras, door locks or sensors, they all form a part of the IoT network.
  • GPS technology is also a great example of IoT. Know where exactly your goods are with their help.
  • Undoubtedly, the greatest achievement of IoT would be its impact on the marketing field. It has successfully helped us tackle the massive data and information wave, getting us the handful of well-processed sensitive information. You now are free to come up with thousands of different ways to promote your business and thus bringing in more clients. The valuable data extracted helps improve the effectiveness of the advertising practice in action involving sending them directly to you on smartphones and computers.
  • IoT has simplified the online shopping process too. It helps facilitate customer identification by fishing out the best products that meet your demand based on your previous clicks. It, thus, contributes to a better business process by helping the shop optimize their services based on the popular demands.

That’s just a small fraction of the millions of other things this advanced technology has made possible in today’s time. Stay put, there is a lot to come from IoT in the near future!


Author: Classic Content Dev

AI & Machine Learning- Changing The Face of BI and Big Data

AI & Machine Learning- Changing The Face of BI and Big Data

The Terminator, Transcendence, Her, Wall-E; these movies are most definitely a treat for sci-fi lovers like us. Remember the use of animation, cool special effects, stunts, and that jaw-dropping plot-line?

There is another thing that is common amongst the stated movies- Human bots!

Yeah, Artificial Intelligence be wrecking us since 1984; the first Terminator movie!

Machine learning is no different. They have been here for some time and are going to be here forever, subtly embedded in our daily activities.

What makes your facebook or google search a lot easier? Who doesn’t let you feel alone on SNS by recommending ‘people to follow’? What makes you love Netflix so much? Yup, machine learning!

But, they aren’t here just for entertainment purposes per se. They have been a major part of the critical technology and business challenge-solving saga since they were first introduced. Including BI and Big Data!

We’ll be coming to that, but first, let’s know what AI and machine learning actually are and how they differ from each other!

Artificial Intelligence (AI) and Machine Learning- A Tale of Two Brothers


AI and machine learning; these two buzzwords have taken the whole tech world by storm. About a million of the world’s population searches for this specific keyword monthly, according to Google AdWords.

That’s a good amount of traffic, honestly.

Both the concepts look similar, talk about being ahead-of-the-time, are most definitely heavy. So it’s quite common for us to get them mixed.

We’re here to solve it for you. To begin:

Artificial Intelligence (AI): Is the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings (1).


Machine Learning: A subset of Artificial Intelligence (AI) concerning with the implementation of computer software that can learn autonomously (2).

So to conclude, Machine learning is the more logical and algorithm-based subset of AI that uses predictive analytics to present AI out to the world. It finds patterns and comes up with the best suitable answers using prescriptive, cognitive and automated computational techniques. Face recognition, speech recognition, Google answers- they all use machine learning!

Now when you know them, scroll down to get acquainted with AI and Machine learning’s game-changing effect on BI and Big Data!

How AI and Machine Learning Are Changing The Face of BI and Big Data


Gone are days when you could survive with your old-school business intelligence tools. Legacy BI platforms are good, but not good enough to compete with the digitally advanced and automated world.

Thus, we need to embed a bit of future into our past tools. Enter Artificial Intelligence and Machine Learning!

Thanks to them, data is now analysed a hundred times faster with accuracy and automation helps reduce human error to a great extent- an ultimate recipe to increase the organisation’s profits.

The best part, AI and Machine learning aren’t limited to a specific field. Whether you are from machining industry or a hospital, a school or are crucial cloud service providers- they work for all!

The predictive and the detailed nature of AI and machine learning could help businesses improve their performance and cyber security by providing top-class services on:

  • Facial Recognition and Image Classification
  • Real-time Fraud Detection
  • Image Tagging
  • Pattern Detection
  • Network Intrusion Detection
  • Computer Server Monitoring

Other than this, leveraging AI and machine learning could give you a competitive advantage when human resources aren’t available (like with stars and planets discovery), or when you don’t know what lies ahead of you (GPS traffic details, for example), or to get different solutions for different individuals (medical cases are never the same).

These were only a few examples, AI and machine learning is actually making a lot more things possible with its future-assessing capabilities.

Integrating Artificial Intelligence with Business Intelligence


In a BI platform, visualisation dashboards are the best place to embed AI techniques. This comes in the form of real-time powered alerts like basic threshold alerts (Absolute value alerts, relative value alerts), pattern recognition alerts, and highly advanced neutral network alerts.

Let’s crack them one by one.

Threshold Alerts: Users are immediately notified when the values go outside the predefined threshold.

Absolute Value Alerts: A type of threshold alert wherein the users are notified when an observed value falls below or exceeds a predefined absolute value.

Relative Value Alerts: Another type of threshold alerts that works when the percentage difference between the observed value and previous value goes beyond or falls below the range defined.
Pattern Recognition Alerts: A specific algorithm- based alert that can help enhance dashboard experience and security.

Neutral Network Alerts: Triggers when any intrusion is detected and automatically activates -anti-malware functions on a network to kill the problem.

Engaging these alerts could help scale and smoothen your business process by defining key factors and alerting you as soon as any disruption occurs.
AI and machine learning are most definitely paving a way for an advanced BI and Big data practices. But, as AI scientists predict, this is just the beginning. We are yet to discover much more things that AI and machine learning are capable of!



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