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People are making the move to the cloud and there are many reasons why: agility, speed of deployment, elastic growth, lack of skills to configure and manage the full stack themselves on-premises, etc. In short, the complexity involved in building and managing systems makes public cloud deployments very attractive. However, some organizations aren't ready to make the move yet. Needing to keep data close for performance reasons, regulatory requirements around data locality, or just general distrust of somebody else managing their systems are some of the reasons often given for this. But that doesn't mean that they can't benefit from a cloud model behind their own firewall. Enter the private cloud. In this session you will learn about how Db2 can be deployed in a private cloud model. For example, Db2 is increasingly becoming available as Docker container images, making the deployment of transactional or warehouse database environments in your own private cloud much faster and easier. Private cloud platforms are also a great way to run your own private clouds on top of which Db2 and other software can be deployed. For example, IBM Cloud Private (which includes a Kubernetes-based container platform) turns a cluster of servers into your own private cloud. Or use a platform which includes a hypervisor that virtualizes compute and storage resources – such as IBM's Hyperconverged Systems powered by Nutanix. Spinning up infrastructure and/or software on-demand provides the speed and agility that you don't get with the traditional IT model. And of course, it's never an either/or discussion – Db2 is a great fit for both private and public clouds, giving you the foundation for true hybrid solutions.

We have had some very significant announcements in the Hybrid Data Management area including updates to Db2, updates to Big SQL, a new offering for event processing, a new set of private cloud offerings and much more.  Join us for an overall update on the important role Db2 is playing in the hybrid data management space and the Common SQL Engine based offerings.