In my last post, I wrote about what Chief Data Officers tell us are the most pressing challenges they face at the bottom of the Big Data stack —mainly creating a hybrid data architecture that can accommodate modern and legacy data sources. Once that architecture is in place and we move up the stack, CDOs encounter another set of challenges.
At Attivio, we work with some of the world's largest banks and manufacturing companies. As they invest more in Hadoop, they also require more from it. They recognize its value in dealing with extremely large and diverse data sets. But they're also looking for enterprise features, and data governance is often at the top of the list.
When we and a number of our customers joined Atlas—the Hortonworks data governance initiative—we brought our unique capabilities around data discovery and dealing with unstructured data. Many companies have chosen Hadoop as their new data platform and need a way to integrate their legacy data sources. We can connect the Hadoop ecosystem with external legacy systems.
