Low-code development can be used for managing big data. Here’s how to make it work for your organization.
Low-code development tools are aimed at reducing application development time to market. They do this by using graphical user interfaces with point-and-click tools to cobble together applications, making it easy for end user “citizen developers” with no knowledge of programming to develop apps. Low-code tools also allow IT technical staff to insert custom code to endow the apps with functionality that the low-code tools can’t generate on their own.
SEE: Everything you need to know about using low-code platforms (free PDF) (TechRepublic)
Low-code development tools are gaining popularity in companies because users see them as ways to get around IT logjams that prevent them from getting things done.
The market concurs. By 2024, Gartner predicts that 65% of all application development will be done with low-code platforms, and that 66% of large companies will use at least four different low-code application building platforms.
Yet, low code has its limits. For example, low code is designed to work with transactional data in fixed record lengths. This makes low code a non-starter when it comes to working with unstructured big data—or