The Data Roundtable
A community of data management experts![When privacy and compliance collide with the need for speedy access to data online shopper expecting privacy, security and speed](https://blogs.sas.com/content/datamanagement/files/2017/02/457207683.jpg)
.@philsimon says that, once again, there's quite a bit to learn from Amazon.
![Balancing privacy concerns for analytics design man considers how to balance privacy concerns with analytics design](https://blogs.sas.com/content/datamanagement/files/2017/01/531722129.jpg)
I've been working on a pilot project recently with a client to test out some new NoSQL database frameworks (graph databases in particular). Our goal is to see how a different storage model, representation and presentation can enhance the usability and ease of integration for master data indexes and entity
![Governing data acquisition woman working late to govern data acquisition](https://blogs.sas.com/content/datamanagement/files/2017/01/109726475.jpg)
As the application stack supporting big data has matured, it has demonstrated the feasibility of ingesting, persisting and analyzing potentially massive data sets that originate both within and outside of conventional enterprise boundaries. But what does this mean from a data governance perspective?
![Trucking along to a streaming future trucking along to a streaming future](https://blogs.sas.com/content/datamanagement/files/2017/01/113858226.jpg)
We've all seen it before – a truck on the side of the road with the hood up and the driver desperate to figure out what’s wrong. In this situation, not only is a customer not receiving goods on time, but the problem is exacerbated by the fact that most
![Where challenge and opportunity collide: Big data meets data governance big data and big data governance](https://blogs.sas.com/content/datamanagement/files/2017/01/495952164.jpg)
.@philsimon looks at the challenges and opportunities that big data pose for data governance.
![Streaming to better data quality businesswoman happy about streaming to better data quality](https://blogs.sas.com/content/datamanagement/files/2017/01/523763112.jpg)
Streaming technologies have been around for years, but as Felix Liao recently blogged, the numbers and types of use cases that can take advantage of these technologies have now increased exponentially. I've blogged about why streaming is the most effective way to handle the volume, variety and velocity of big data. That's