Graph Technologies are one of the trending technologies nowadays to help analyze vast amounts of information. To understand why this is so, it may be useful to first understand what a graph is? A graph (or more commonly known as a network diagram) is simply a set of objects called nodes with interconnections called edges. And, why would one want/care to study graphs? Because they are everywhere. From a company’s internal email/chat data to complicated stock market trends, from social networks to information networks or even biological networks, graphs are ubiquitous. This is why gaining expertise in graph technology can set your company apart from competition.

 What Is Metaverse?

 Metaverse is not a single technology, solution, or platform. Instead, participating in the metaverse is all about using web 3.0 technologies to create an immersive experience for the audience. For businesses, investing in the metaverse is implementing newer internet technologies such as Extended Reality (XR), Virtual reality (VR), Mixed Reality (MR), Internet of Things (IoT), Augmented Reality (AR), and mirror worlds with digital twins to provide an interactive environment for the end user similar to the real-life interactions.

It is a technology concept of mixing the physical and virtual worlds of the customers. The crux of the technology is to improve engagement through immersion. Currently, the video game industry is growing leaps and bounds with VR headsets and unimaginably realistic graphics. The introduction of Non-Fungible Tokens (NFTs) has also increased the popularity of the metaverse, where users can create, buy and sell NFTs. These portable digital assets continue to gain value and momentum, especially in the blockchain world. Users can use cryptocurrency to invest in NFTs.

All evolving and established companies nowadays pay high salaries for graph analytics practitioners to help with their businesses and their clients. Graph technologies have different business aspects/challenges considered each time, making them a much sought field of expertise. Discerning relationships and interconnections we thought never existed now can be studied using graph technologies. Covid-19 proved that graph technologies to understand contact tracing were going to be very important to the future of technology. Digital marketers are breaking ground into behavioural analytics by studying the types of websites one visits in a given day through graphs. It is probably safe to surmise graph technology, while still in its nascent stages, can be guaranteed to be one of the top analysing techniques in the upcoming decades.

Graph Technologies and all you need to know about them.

Graph Technology is one of the most up-and-coming analytical technologies. It is often noticed that traditional graph analytics are not able to comprehend or discern patterns as the complexity and scale of today’s networks grows rapidly. Hence, the emergence of advanced graph technologies. Graphs aid in the visualization of data and maximize the understanding of the network relationships concepts. Since networks are easy to visually comprehend, the empirical observations of relationships or interconnections becomes straight forward.

Graph Technology helps organizations with a new and effective way of processing, managing, and storing enormous amounts of data. It is an innovative approach leading to timely insights helping grow businesses. For ex: Think of studying a network of people you get emails from and ones to respond to in a given day. Extrapolating the idea across the organization, can help HR discern who the power centers are or who the next (hidden) leaders are in an organization. Imagine doing a similar study if you work in the travel desk of the organization. Understanding patterns in business travel with graph technology can save an organization millions of dollars every year. For deeper understanding, graph technologies can be divided into three sections. They are – graph theory, graph analytics, and graph databases.