The term 'Big Data' has been around for quite some time, but what exactly is this concept and why is it so important today? Put simply, Big Data refers to voluminous raw data sets produced by businesses and consumers every day. Big Data can be collected through surveys, transactions, sales and financial records. It can then be stored and processed to produce analytics, which can be examined to find beneficial insights. While Big Data is incredibly valuable to businesses, it is often difficult to analyze. Previously developed spreadsheets and database management software have proven to not be quite as efficient anymore and businesses are increasingly looking for better ways to collect, store and analyze data. Many are now opting for scalable server environments, such as Node.js. Node.js has become highly favored in recent years, and to hire Node.js developer, to create platforms for business data has become increasingly popular.
One of the most important roles Big Data plays is that of describing valuable customers. These are customers who open your website links, who click-through on advertisements and who make purchases. Businesses can use this data for marketing purposes, for process changes, to predict trends and to achieve growth. Let's look at how Node.js can assist in producing an environment where this data can be stored and processed:
About Node.js and Its Role in Big Data
Node.js is an open-source environment created on JavaScript runtime. It is used for building scalable network applications. Node.js makes use of event-driven, non-blocking input and output (IO) to stay efficient and lightweight, which make it ideal for data-intensive applications. Node.js can also be tailored to suit certain requirements, so if you need a customizable, fast and high-performance environment to handle really large data sets, it is an effective option.
Source: https://www.freecodecamp.org/news/what-are-the-advantages-of-node-js/
With the increase in Big Data's popularity, the need for Node.js experts, such as Node.js developers, is also growing. A Node.js developer can create a tailored platform for a business' Big Data. This is highly valuable when a company no longer finds conventional data analytics platforms useful and is looking for an efficient and effective platform customized to their needs.
Many websites now advertise Node.js developers for hire, which includes listings around their skills, experience and the average Node.js developer salary, to make it easy to recruit a suitable candidate. If you're looking to hire a Node.js developer a quick online search will produce plenty of results.
Node.js offers many benefits, which include high speeds, versatility and scalability and there are several ways businesses can use it. A Node.js developer can design and build an entirely new platform or can use it to improve existing code to use Big Data. Let's look at a few techniques that can be used with Big Data:
Different Techniques Used to Work With Big Data in Node.js
Node.js provides plenty of useful tools to process large data sets. The most popular techniques include:
Reading the whole data file
This the most straightforward technique used to process data with Node.js. With this solution (fs.readFile()), the entire file is read into memory. From there, Node reads it and it is then acted upon. This is ideal for smaller files.
Using Streams
With Node's stream solution (fs.createReadStream()), you can move data from one place to another with ease, similar to Python and Java, while its stream library helps you to stream data reliably and to easily manipulate data.
Simply put, data is received, stored in the buffer, processed and passed on:
Source: https://www.wikitechy.com/tutorials/node-js/node-js-streams
These techniques can be used to process millions of records and then store the results in a database. It may seem complex, but a Node.js expert can effectively develop such an environment or integrate it into your existing code.
Final Takeaway
Big Data is highly valuable to any business in the modern world. Its analytics can allow businesses to grow by predicting future trends, to make important changes and to give them a competitive edge. Conventional techniques may no longer be sufficient to process data efficiently. Therefore, it is beneficial to invest in Node.js solutions. An experienced and skilled Node.js developer will be able to develop a customized solution for your business's data needs. Once you are able to process and read your data effectively, you can use it to scale and grow your business.
