Data governance is on everyone's mind as we move from a static model of data to a dynamic, living, breathing data architecture. As many brilliant people have already said, data — and knowledge in general — is full of "ghosts," or implicit knowledge existing within any...
As enterprises modernize their data architecture, they have to make challenging decisions about legacy systems. Not all organizations are ready to offload their ETL pipelines. Unless decision-makers are also tech experts, they may not realize that ETL pipelines...
Enterprises today have lots of data. This includes legacy data, partner data, transactional data, third-party data, and more. Most enterprises purchase many point solutions trying to create a complete and flexible data ecosystem. The problem is that the demands for...
The past few decades have seen an explosion in the number of applications designed to help organizations manage data. It has become common knowledge that data is valuable—each shiny new data application promises to solve a problem, and if organizations are lucky,...
