Technology led to streaming analytics

The convergence of many types of technology helped propel the development of streaming analytics. From cheaper bandwidth to smarter software to the IoT, technology in other arenas has made it possible for streaming analytics to blossom. And it’s only going to move faster.

The potential to use streaming analytics touches many industries, not just the ones that enabled it — and this includes industries in which the IoT is just beginning to find its way into processes. For example, Zoomdata have machines that are so heavily instrumented that they basically have a huge amount of data coming in split second time, and the idea in manufacturing is that the one thing you really want to avoid is unplanned downtime. And the idea is that if you can monitor all this data in real time as it’s happening and perform these, you can start to basically nip symptoms in the bud.

Then, of course, there’s the connected car. Data-oriented vehicles are common today; in the near future, however, they’ll deliver a lot more data. This will happen as more vehicles become connected through wireless networks. These vehicles will send data back to car dealerships and manufacturers and link to smart city grids for streetlights and traffic pattern monitoring. For all of this to work seamlessly, streaming analytics will be necessary.

Streaming analytics’ impact doesn’t just end with physical machines. Cybersecurity can stop hackers and fraudsters before online transactions are completed. The type of real-time data delivery and analysis offered by streaming analytics could end denial-of-service attacks, phishing, identity theft, and other cybercrimes. Hands-on industries like healthcare could also use streaming analytics to improve patient monitoring. Stream processing can assist online capital markets, trading systems, and algorithmic trading. The applications, for now, appear endless.