Analyzing streaming data—think Internet of Things (IoT), sensor data, log files, retail purchases, social media content, or any other continuously generated data—can give your business unprecedented visibility into trends, trouble spots and opportunities as they emerge. Real-time data is also the fuel that drives better outcomes from applications such as fraud detection, cybersecurity, machine learning, supply chain optimization, and more.
The challenge for IT teams is how to incorporate these new data sources and streaming technologies into existing analytic environments to make them quickly and easily accessible to the business. When automation supports streaming data, it minimizes the learning curve for IT teams and reduces the complexity of managing a hybrid of streaming and traditional batch-based data. With automation, you can deliver real-time data at the speed of the business.
– Matt Aslett, Research Director, 451 Research
Easily ingest and process real-time data streams into your company’s data infrastructure alongside—or enriched with—traditional, batch-based data sources using automation.
– Gadi Glogowski, Product Line Manager, Clever Devices