Data streaming is sometimes referred to as streaming data or event stream processing. In any case, data streaming refers to the continuous transmission of data (a “stream”) in real-time. Any time-sensitive applications involving data processing in some way employ data streaming.
Technologies powered by data streaming include location-based applications, such as ride-sharing apps (Uber, Lyft), dating apps, sportsbooks, and countless others. Data streaming is also a key component of multiplayer gaming, in which the shared experience in real-time is an essential feature.
Data streaming can also be applied to business interests, providing business intelligence as the data funnels in at incredible speeds.
Despite data streaming’s value in the business landscape, implementation can prove challenging. Fortunately, streamlining the process is as simple as utilizing the right tools. Consider Striim Data Streaming as a Service to take on the burden of implementing and supporting data streaming technology.
What makes data streaming different
The alternative to processing data continuously is, as you might expect, processing a selected interval at a time, formally known as batch processing. Batch processing is capable of taking large quantities of data at a time and performing complex operations on it.
While batch processing certainly has its advantages, it is much slower than data streaming, which performs simple operations on small amounts of data at once.
How businesses benefit from streaming data
Responsiveness is a critical factor for any business. When wielding data streaming as a secret weapon, a company has a distinct advantage over competitors using batch processing only. Why? Because the former will be aware of trends or events sooner and will therefore be better poised to react appropriately.
Continuous business intelligence is a “great driver for long-term viability and competitive advantage,” as Forbes reported in November 2021. It’s simply not enough to stick with traditional batch processing when so much data requires manipulation.
How you can benefit from streaming data as an individual
On the other hand, you can also greatly benefit when data streaming is available to you as part of an application’s technology. You most likely already do, without knowing that data streaming is such a widely applicable technology.
Nowadays, gamers are able to stream their games to a live audience through services like Twitch. You can even stream on Twitch using your iPhone, which is a remarkable feat of technological advancement when you think about it.
Perhaps a less entertaining but no less important application of data streaming is found in your antivirus program. As long as you follow recommendations for preventing malware infection, like keeping up with updates and leaving the security program enabled at all times, your antivirus can protect you from viruses because it operates in real-time.
The program needs to both monitor your activity and stay updated on its malware identification data, and neither is manageable through batch processing.
Conclusion
Data streaming takes many names and many forms, but it is clear that it is not going away anytime soon. The benefits of real-time responsiveness range far and wide, from informing business decisions to keeping you entertained.