Traditional methods including manual creation of scripts, scrubbing the data, and later loading it into a data warehouse or ETL, (extract-transform-load) was used to integrate data from different sources. These methods were adopted in the era of resource constraints and have now become very time-intensive, expensive, and error-prone, says Yash Mehta, an IoT and big

In the fast-paced, technology-driven world, businesses must promptly cater to their customers, and business needs to be a market front-runner. Thus, many businesses have changed the way they work by adopting the Internet of Things (IoT), whether its business-to-consumer (B2C) or business-to-business (B2B) to achieve decision promptness. IoT technologies can transform customers’ personal and social aspects of life and answer critical business problems with

There is no doubt that poor requirement gathering leads to bad quality of products. If this holds true for a normal software project, imagine the importance of a critical space like the Internet of Things (IoT) that is a combination of multiple disciplines.

The concept of private networks has been there for quite some time. Private networks are usually preferred by businesses and various types of private organisations to protect the data and information that they store and handle.

The amount of data generated and consumed are just massive. The advancement of technology makes sure that the amount of data that we deal with will only keep increasing in the upcoming years, says Yash Mehta, an IoT and Big Data Science specialist.