Real-Time Analytics

Real-time analytics is a widely used IT term that can mean different things to different people. To some, it means extremely fast query response times, even if the data being queried resides in a data warehouse that hasn’t been updated in days. To others, it can mean embedding a monthly BI report into a workflow so that the user has relevant and sufficiently current information needed to complete a business process.

When we talk about real-time analytics in context of how HVR customers are using it, we apply a more literal meaning. Our customers are using HVR data replication software to analyze continuously changing data being generated by transactional systems, machines, sensors, mobile devices, and websites. The latency of the data is typically measured seconds or even sub-seconds.

 

For example, Lufthansa uses HVR to deliver real-time flight planning services to national and international airlines around the word. Airline operations teams and pilots receive up-to-the-second information pertaining to routes, flight paths, air traffic, flight restrictions, weather conditions and more so that they can to adjust schedules, routes, and flight patterns in real time.

Similar applications can be found in telecommunications, health care, law enforcement and public safety, energy and utilities, financial services, and many other industries. New applications are being driven in large part by recent innovations in big data, the internet of things, and mobile computing.

 

  • Different Approaches to Implementing a Real-time Analytics Solution

There are several different approaches to implementing a real-time analytics solution. The most common include query federation, event and trigger-based replication, and log-based change data capture (CDC). Our experience working with customers around the world spanning a broad cross section of industries has proven that for the vast majority of use cases, log-based CDC is by far the most practical, efficient, and cost-effective approach. It is easy to implement and maintain, reliable, minimizes network traffic, and is completely non-invasive to source and target systems.

If you are interested in learning more about how organizations are applying real-time analytics, the pros and cons of various architectural approaches, and how HVR works in various scenarios, check out our solution brief on the topic.

For more general inquiries, feel free to contact us.

About Mark

Mark Van de Wiel is the CTO for HVR. He has a strong background in data replication as well as real-time Business Intelligence and analytics.

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