The entire Apache Spark platform was designed to address several problems that had previously plagued the data storage industry. General inefficiencies, high costs, counter-intuitive user interfaces, and other widespread issues all demanded a need for change. Since its initial release, Apache Spark has been considered an optimal data storage solution. The so-called “stable release” of Apache Spark, which occurred in April 2023, helped grow the popularity of this particular data integration solution even further.
The benefits of Apache Spark are numerous and well-documented. But since the original launch of this platform, users have become increasingly curious about how they can maximize their efficiency while using Apache Spark. As countless case studies have helped reveal, one of the best ways to maximize efficiency is through the use of low-code technologies, such as Visual Flow.
Generally speaking, the term low-code development platform (LCDP) can be used to describe any system that enables users to change the code associated with a specific page or platform using a graphic or otherwise simplified interface. This means that instead of having to manually enter any coding changes—which used to be the universal norm—users can simply click and drag certain components of data, as needed.
As you’d probably expect, switching to a low-code platform provides an astounding number of benefits. These include:
- Streamlined Development Process: without low-code technology, most enterprises will end up finding themselves significantly hindered. The alternative—sometimes referred to as “high code”—usually involves significant delays in structuring the data storage process, as well as various other inefficiencies. In most cases, these inefficiencies are entirely unnecessary; there are very few processes and tasks that cannot be achieved with a modern low-code alternative, meaning that most traditional systems have simply proven themselves to be outdated.
- Faster Time-to-Market: as a result of the streamlined development process, using a low-code ETL can help ambitious firms deliver their products, platforms, and systems much faster to the broader market. This is especially important for enterprises that are in the startup phase and are likely competing with other enterprises trying to launch similar systems. In some cases, using a low-code system can potentially reduce the estimated time-to-market by weeks, or even months. When an enterprise is operating at scale, that can make a huge difference.
- Improved Collaboration Between Developers and Non-Developers: prior to the introduction of low-code technology, essentially any team member who hoped to make changes to a platform or make changes to how data is stored would need to have at least coding experience. In most cases, especially for more sophisticated firms operating at a higher level, they would need to have formal training as a developer. But with low-code tech, the way that data is extracted, transformed, and loaded can be managed by just about anyone. This makes it significantly easier to collaborate within a team and for firms to achieve their goals.
- Easier Maintenance and Updates: even if your enterprise is confident in the original data storage system, you know that system will—eventually—need to be updated, maintained, and otherwise modified over time. Using a system that takes too long to make necessary changes can end up costing the enterprise thousands or even millions of dollars. But by leveraging a low-code system, firms can operate in a much more dynamic way and make all changes or adaptations whenever needed.
These are just a few of the reasons why a lot of data-dependent enterprises choose to utilize a low-code alternative every year. Not only are these systems much more affordable than their traditional counterparts, but they also provide a tremendous range of operational benefits, whether you are utilizing Apache Spark for ETL or any comparable platform.