The Data Roundtable
A community of data management experts![Pushing event analytics to the edge White paper cover for Understanding Data Streams in IoT](https://blogs.sas.com/content/datamanagement/files/2015/05/Understanding-Data-Streams-in-IoT-e1432814889596.png)
In my last post, we examined the growing importance of event stream processing to predictive and prescriptive analytics. In the example we discussed, we looked at how all the event streams from point-of-sale systems from multiple retail locations are absorbed at a centralized point for analysis. Yet the beneficiaries of those
![Let us be smarter with the Internet of Things Considering how to be smarter with the Internet of Things](https://blogs.sas.com/content/datamanagement/files/2015/05/612491256-702x336.jpg)
As we enter the era of “everything connected,” we cannot forget that gathering data is not enough. We need to process that data to gain new knowledge and build our competitive advantage. The Internet of Things is not just a consumer thing – it also makes our businesses more intelligent. Whenever
.@philsimon says that you shouldn't bring a knife to a gun fight.
(Otherwise known as Truncate – Load – Analyze – Repeat!) After you’ve prepared data for analysis and then analyzed it, how do you complete this process again? And again? And again? Most analytical applications are created to truncate the prior data, load new data for analysis, analyze it and repeat
![Event stream processing and/or real-time processing Using cellphone and considering event stream processing versus real-time processing](https://blogs.sas.com/content/datamanagement/files/2015/05/493694506-702x336.jpg)
Event stream processing (ESP) and real-time processing (RTP) so often come up in the same conversation that it begs the question if they are one and the same. The short answer is yes and/or no. But since I don’t need the other kind of ESP to know that you won’t
![Event stream processing: Think "rapid" White paper cover for Understanding Data Streamsin IoT](https://blogs.sas.com/content/datamanagement/files/2015/05/Understanding-Data-Streams-in-IOT.png)
What sends a data management product to the top of the “hot” list? In a word – speed. Especially when that speed can gracefully accommodate the huge world of streaming data from the Internet of Things. One of SAS’ hottest (and recently enhanced) products, SAS Event Stream Processing is an