The Data Roundtable
A community of data management experts![Agility in external data ingestion Hands on globe, like teamwork](https://blogs.sas.com/content/datamanagement/files/2015/12/100932797.jpg)
In two previous posts (Part 1 and Part 2), I explored some of the challenges of managing data beyond enterprise boundaries. These posts focused on issues around managing and governing extra-enterprise data. Let’s focus a bit on one specific challenge now – satisfying the need for business users to rapidly ingest new data sources. Sophisticated business
![Beyond the boundaries of structured data: Part one Business people taking selfie](https://blogs.sas.com/content/datamanagement/files/2015/12/42-62394119.jpg)
Most people have logged on to a social media site, maybe to look up an old friend, acquaintance or family member. Some people play games, or post funny pictures or other information they want to share with everyone. Do you ever ask yourself what happens with this information? What if your business wanted to purchase this information and
![Regulatory requirements drove new data quality projects in 2015 pill bottle](https://blogs.sas.com/content/datamanagement/files/2015/12/4084058.jpg)
In 2014, big data was on everyone’s mind. So in 2015, I expected to see data quality initiatives make a major shift toward big data. But I was surprised by a completely new requirement for data quality, which proves that the world is not all about big data – not
![Will Hadoop replace the data warehouse? server room](https://blogs.sas.com/content/datamanagement/files/2015/12/42-61740927.jpg)
Twenty-five years ago (when I was 12 years old), we realized that data, across the corporation, was not integrated. Nor did our data let us predict the future by looking at the past. So we started creating these stores of historical data soon to be called “data warehouse.” Here are
![How to communicate the role of data governance Business men having discussion](https://blogs.sas.com/content/datamanagement/files/2015/12/169075522.jpg)
Confusion is one of the big challenges companies experience when defining the data governance function – particularly among the technical community. I recently came across a profile on LinkedIn for a senior data governance practitioner at an insurance firm. His profile typified this challenge. He cited his duties as: Responsible for the collection
![Extra-enterprise data management social media abstract image](https://blogs.sas.com/content/datamanagement/files/2015/12/181178018.jpg)
In a recent post, we discussed a number of factors that have expanded the reach of organizations' data management functions beyond the traditional scope of an in-house data center. Increased use of external data sources coupled with growing dependence on cloud computing have created an emerging need to exercise some level