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Whenever a discussion arises about the best runtime environments, the name Node.js always stands on a higher pedestal. It is one of the most well-known and largely used runtime environments globally.
Hence, one of many use cases of Node.js is its compatibility with Big Data and Power BI services. So, analytical companies are also using Node.js to create advanced power bi data analysis and ETL solutions.
In the past two decades, Node.js has seen exponential growth in its demand and popularity. And the number is expected to break all expectations in the future. Till now, Node.js has been used by 1.2% of all websites on the internet, almost 20 million total sites across the internet, according to a report by W3Techs.
Moreover, Node.js has already surpassed the 1 billion dollar mark, and the prediction goes nowhere but up.
Now, as we know what is node.js, we will discuss some basic features of node.js given below:
Move aside java, Node.js is not only a Cross-Platform but when developed with the correct structure, it can be packaged into an executable containing all its own dependencies.
All the APIs in Node are Asynchronous, which means they are non-blocking, which also introduces the fact that the Node.js server never waits for an API to return data.
A very important feature is that Node.js applications never buffer any data. The application simply returns the data in chunks and prevents any data loss or processing lag.
This makes Node.js an ideal language for big data analytics. Companies like Kockpit Analytics are using the full potential of Node.js programming for best-in-class data visualization, data warehousing, Power BI services, and dashboarding experience.
Node.js has a vast community with an enormous and huge number of permissive and open source projects that are available to help you save time. The advantage of having a larger community is that developers can seek help from community members to get responses to their queries instantly.
The Node.Js community actively interacts on platforms such as GitHub, StackOverflow, and Reddit. The community has also played a vital role in developing excelling frameworks like Derby, Meteor, Express.js, Koa.js, and Sails.js.
As we know, most of the web is based on the system of request and response, which means if we ask for a page, then the server sends us a page. Sockets allow a server to broadcast messages to all clients connected to a specific group. If one of the users changes some data, all the other users can also be updated in a few milliseconds.
While other languages have socket libraries, Node.js has an advantage because of its event-driven, non-blocking architecture, which also makes it ideally suited to handle sockets. Node.js was the first to do it well and still does it better than any other framework.
Below is an image that tells Node.js users that is when and how Node.js Should be used.
As shown in the figure, Node.js is used widely in almost every vertical, or we can say Node.js is the future from Data Streaming to Rest API it is used widely.
To leave you with a thought, Node.js provides great options for real-time development programs. It can be used for a variety of different applications, including building big data analytics and power bi analytics solutions.
Kockpit Analytics is one of the best data analytics companies in Delhi NCR, using Node.js and other technologies to deliver user-friendly, fast, and simple big data analytics services and ETL solutions.
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