Back

Overcoming Cloud Data Integration Challenges

Thought Leadership - 2:30 pm - 2:55 pm

As enterprise applications becoming increasingly distributed as a result of broader cloud adoption, so too will enterprise data stores become increasingly distributed. While this presents general data management issues, of particular importance is the challenge of data integration in the cloud. The siloed nature of cloud application deployments radically increases the number of transactions required to consistently aggregate and integrate enterprise data. Add to this the fact that most existing tools are optimized to work between relational databases, while many cloud solutions are based on NoSQL structures and may be required to migrate data through intermediary staging platforms. As transaction volume increases exponentially, so does bandwidth usage and bandwidth cost and so CDO's need to work hard to control this spiral while facilitated clean integration. 

 Takeaways: 
  1.  While latency is a big problem for cloud application integration, it is far less of an issue for cloud data integration 
  2.  Existing data integration tools and processes will continue to work in the short term in a cloud focused world, but transaction volume ultimately will erode savings 
  3.  As platform diversity increases data integration can become increasingly complex and so alternate tools and techniques will be required to tie everything together