The Data Roundtable
A community of data management experts![A new season for SAS Event Stream Processing A new season for SAS Event Stream Processing represented by baseball](https://blogs.sas.com/content/datamanagement/files/2017/03/98917235-702x336.jpg)
Batters assess the game before hitting the ball. Similarly, Todd Wright says businesses can make faster, better decisions by understanding events in motion.
![Event stream processing, data quality and risk mitigation smart car represents event stream processing, data quality, risk and ethics](https://blogs.sas.com/content/datamanagement/files/2017/03/552129189-702x336.jpg)
David Loshin extends his exploration of ethical issues surrounding automated systems and event stream processing to encompass data quality and risk considerations.
![Which industries are early adopters of streaming data technologies, and why? businesswoman considering new applications for data streaming](https://blogs.sas.com/content/datamanagement/files/2017/03/606348705-702x336.jpg)
Unless you’ve been living under a rock, you've surely noticed the increasing numbers of headlines about big data, Hadoop, internet of things (IoT) and, of course, data streaming. For many companies, this next generation of data management is clearly marked "to play with later." That's because adopting the next wave
![Data compliance: Will you be able to measure the effectiveness of your efforts? Measuring exercise effectiveness is compared to measuring effectiveness of data compliance efforts](https://blogs.sas.com/content/datamanagement/files/2017/03/499783455-702x336.jpg)
Like getting into good shape, Jim Harris says we must carefully measure adherence to regulatory compliance – using both internal and external measures.
![Event stream processing: Ethical considerations passengers in railway station reflect ethical considerations of event stream processing](https://blogs.sas.com/content/datamanagement/files/2017/03/557351379-702x336.jpg)
The real questions revolve around approaches to ESP system implementations, predictive models and quality of information being streamed, says David Loshin.
![Event stream data: When motive meets opportunity Business man considering streaming data motive meeting opportunity](https://blogs.sas.com/content/datamanagement/files/2017/03/467580835-702x336.jpg)
.@philsimon sees these two colliding sooner rather than later.