Online Systems are online versions of data systems, which are described as "the process of storing, organizing, utilizing, and compiling data and communications in an organization" and "the tools for doing so." Tools for carrying out messages and maintaining data in a corporation are examples of information systems "(g1galileoetech, 2017).
WHAT EXACTLY IS A WEB PAGE?
Ø A web page is a document written in the HyperText Markup Language (HTML) and accessed over the Internet or another network via an Internet browser.
Ø A URL address is used to access a web page, which may contain text, images, and links to other web pages and files. A web page like the one you're reading right now is an example of it.
What is web/platform 1.0?
· An outdated internet that only allows users to read from it.
· The first level involves connecting web pages and hyperlinks all over the world.
· The internet is seen as a "knowledge hub."
· It includes a table to organize and place elements on a page.
What about web 2.0?
· It's a website that allows people to manage their personal information.
· The read-write platform and user-generated content are the concepts here.
· Everyone has the ability to create content.
WEB 2.0 Characteristics
Ø Folksonomy – enables users to organize and classifying the data using keywords of their choice (e.g., tagging). Tags that begin with the pound sign (#) are used on popular social media platforms like Twitter, Instagram, and Facebook. This is also known as a hashtag.
Ø Content is dynamic and sensitive to user feedback, resulting in a rich user experience. A website that displays local content is an example. When you log in to a social media site, your account is used to alter what you see on their page.
Ø User Participation – the website's owner isn't the only one who can add material. Others may contribute their own content in the form of comments, feedback, and evaluations. Some websites allow readers to leave comments on articles, vote in polls, or leave product reviews (e.g., Amazon.com, online stores).
Ø Long Tail services are those that are available on demand rather than as a one-time order. In some cases, time-based pricing is preferable to file-based pricing, and vice versa. Subscribing to a data plan that charges you for the amount of time you spend on the Internet, or a data plan that charges you for the amount of bandwidth you use, is equivalent to this.
Ø Software as a Service (SaaS) – rather than buying software, users can subscribe to it as necessary. If you don't need to use software all of the time, this is a less expensive choice. Google Docs, for example, is a free web-based application that enables users to build and edit word processing and spreadsheet documents while on the go. When you need software, such as a word processor, you can buy it once and keep it forever by paying a large one-time fee and installing it on your computer. Software as a service (SaaS) enables you to “rent” software for a low monthly price.
Ø Participation by a large number of people – diverse knowledge sharing via universal web access. Web 2.0 content is dependent on people from different cultures and most users can access the internet.
Example of web 1.0 and 2.0
In web 1.0 are:
Shopping Carts and MP3.com
In web 2.0 are:
Blog/wikis, social media site, Yahoo, Youtube
What WEB 3.0 mean?
· The New York Times' John Markoff suggested this name for the web's third generation.
· Both web and mobile applications will be updated with more features in this generation.
· It uses the same two-way interaction theory as WEB 2.0.
· With semantic Web technology, distributed databases, natural language processing, machine learning, machine thinking, and autonomous agents, Web 3.0 would be more interactive, accessible, and intelligent.
The Top 10 Most Common Technologies
The only constant in this world is change. This is also true of the personal life. Upskilling is a must nowadays, for one basic reason: technology evolves at a breakneck pace. We must recognize the Top 10 Trending Technologies that will draw a large market in 2021 and devote our time to them.
While Brain-Machine Interfaces, Intelligent Robots, and DNA Computing may sound like something out of a Hollywood blockbuster, we expect these emerging technologies to have a significant impact on our daily lives. As a response, these are the list of the Top 10 Trending Technologies for 2021.
Ø 5G is a new generation of wireless technology
The fifth generation of cellular networks and systems is known as 5G. It is projected to have at least 20 gigabits per second downlink and 10 gigabits per second uplink, making the 5G network at least 40 times faster than existing 4G LTE networks. Telecom providers will be able to provide new services, network activities, and customer experiences as a result of this. Switzerland currently leads the industry, closely followed by South Korea and the United States.
Samsung, Huawei, Intel, Deloitte, Nokia, Ericsson, and Qualcomm are among the companies investing in 5G.
Ø Internet of Behaviours (IoB)
The Internet of Behaviors is the collection and use of data to drive behavior (IoB). Industrial sites, for example, have used computer vision to decide whether workers were following mask protocol and then collecting this behavioral data to be studied by companies in order to persuade people to follow government protocols at work.
IoB can collect, integrate, and process information from a variety of sources, including:
· Data from citizens is collected by public-sector agencies.
· Data on commercial customers
· Governmental organizations
· Use of social media
· Location monitoring in the public domain.
· This trend has been aided by the growing sophistication of the technology that processes this data.
AWS, Cisco, SAP, Microsoft, HP, IBM, Dell, and Cloudera are among the companies investing in IoB.
Ø DevSecOps is an acronym for "development security operations.”
Development, security, and operations are referred to as DevSecOps. Its aim is to enforce security on the same scale and at the same pace as construction and operations, rather than just for the sake of it. DevSecOps seems to be gaining traction in our DevOps industry as Microservices become more widely adopted.
That's not everything, though. For companies to succeed in this economy, they will need a model that allows them to operate everywhere. This operations model, at its heart, enables a company to be accessed, distributed, and enabled from anywhere. This format is now branching out to include topics like GitOps, DataOps, and NoOps.
Amazon, NASA, Capgemini, Dell, and Oracle are among the companies investing in DevSecOps.
Ø Intelligent Process Automation
The theory behind robotic process automation is that "anything that can be automated should be automated." We've learned something much more intriguing this year: Intelligent Process Automation. In a nutshell, IPA enables bots to benefit from AI, Big Data, and Machine Learning capabilities, allowing them to learn and evolve over time. This aids the evolution of these intelligent bots from the "If this, then that" rule. Investment in IPA is projected to hit $232 billion by 2025, as automation adoption grows.
KPMG, AWS, and Microsoft are among the companies that have invested in IPA.
Ø Tactile Virtual Reality
AR and VR are examples of innovative technologies that have more immersive experiences. Virtual Reality immerses the user in a virtual environment, while Augmented Reality is a technology layer on top of the real world. According to Cisco, AR-VR traffic will increase 12-fold in all fields of entertainment by 2022.
Touch allows us to have a better understanding of something that we can't completely perceive through our eyes or ears. Tactile Virtual Reality is a solution to this issue. It integrates many types of technology, such as sensors and advanced optics, into a single interface that allows you to overlay augmented digital content in your real-time environment. The touch barrier can now be scaled thanks to advancements in Tactile/Haptic technology.
Oculus, Virtuix, and Cisco are among the companies investing in Tactile VR.
Ø Big Data Analytics
For quite some time, Big Data Analytics has been available on the market. It is being adopted by an increasing number of companies to go beyond conventional data storage and processing methods.
New trends like X-Analytics are being used to solve problems like climate change, disease prevention, and wildlife conservation.
Decision Intelligence is a tool that helps data engineers design, model, implement, and track decision models and processes in the context of business outcomes and behavior. In reality, by 2023, more than 33% of large organizations will employ decision intelligence analysts.
Amazon, Netflix, Starbucks, Spotify, Google, and Adobe are among the companies that are investing in Big Data Analytics.
Ø Human Augmentation
Humans have always played with technology in order to improve life as we know it. This fascination has now expanded to include Human Augmentation, which entails using technology such as Artificial Intelligence and the Internet of Things to not only improve our everyday lives but also to push human intelligence to new heights.
Currently, research is focused on using bionics and prosthetic augmentation to assist people with disabilities, as well as experimenting with genes to cure disease. However, the promise is to eliminate current physical conditions or to avoid accidents from occurring in the first place.
It can also be used for other types of creative functions. Companies like Neuralink, for example, plan to create a super-powerful brain-machine interface capable of processing massive quantities of data.
Neuralink, Google, Samsung, and Ekso are among the companies involved in human enhancement.
Ø Everything-as-a-Service (EaaS) is a term that refers to (XaaS)
Everything-as-a-Service (XaaS) is a cloud computing concept for the wide range of resources and software that are becoming available for consumers to access on-demand over the Internet rather than on-premises. It gives you the freedom to configure your computing
environments on-demand to create the experiences you want. XaaS has grown to provide a variety of programs, including:
· Function-as-a-Service (Fast-as-a-Service)
· IT-as-a-Service
· Infrastructure-as-a-Service (IaaS) is a service that allows you to rent
· Security-as-a-Service (Database-as-a-Service)
As these applications become more portable, real-time computing cycles become easier to procure, data integration platforms streamline networking, and vendors shape cross-platform alliances, the multi-cloud trend can soon morph into an Omni-cloud trend.
HPC, RedHat, VMWare, AWS, Google Cloud, and Microsoft Azure are among the companies investing in XaaS.
Ø Cybersecurity is a term used to describe the protection provided by computers.
With so many companies experiencing massive digital transformations, consciousness of the impending threat of cyberattacks is growing – not just among large corporations, but also among small businesses. Cybersecurity is not a new concept, but its patterns are!
VDN is a novel approach to cryptography in which a signal is transmitted in quick bursts or quantum packets that can't be interpreted covertly without upsetting their material. In essence, no one can intercept data sent to you without adding noise to it.
By centralizing orchestration and spreading enforcement, Blockchain Cybersecurity is a more flexible, sensitive protection solution.
Companies are beginning to realize that having a strong cybersecurity policy is no longer a privilege, but a requirement.
CISCO, RedHat, and IBM are among the companies investing in cybersecurity.
Ø Artificial Intelligence
A well-designed Artificial Intelligence implementation can improve efficiency, scalability, and reliability while also providing a full return on investment. However, AI ventures often encounter problems, making them a challenge for most businesses. However, new ideas have been developed to address these issues.
Artificial Intelligence Engineering aims to integrate AI into the DevOps process as a whole, rather than as a set of specialized and independent projects. Maintainability, scalability, and governance problems are all addressed.
Tiny AI aims to develop algorithms that will allow current deep-learning models to be shrunk without losing their functionality, allowing more computing power to be packed into smaller physical spaces while using much less energy.
This groundbreaking technology is poised to usher in a new era, and as a result, it has been added to our list of trending technologies.
Google, Apple, Amazon, and IBM are among the companies investing in AI.
So great