Four reasons to adopt a data warehouse for private cloud

Digital Marketing, IBM Analytics, IBM

Is your world all about “more, more, more”—that is, more data, more analytics applications and more users? For IT pros, this is the stuff of everyday reality. Analytics must be delivered quickly for decision making, and new requests proliferate. Accordingly, now is the time to modernize your data architecture and its response capabilities so that your business can become data-driven. Here are four reasons why you should consider data warehousing on a private cloud: Make flexibility central to your data warehousing

Container technology focuses on heightening flexibility through the packaging of a preconfigured solution, such as a data warehouse in a container. Deploy it where you need it—on a private cloud or as a software-defined infrastructure in your own data center. As needs arise, you’ll have a ready-to-go solution: just install a configured data warehouse, load the data and connect the business intelligence and analytics tools of your choice.

2. Deliver self-service

Do you really want deep exploration sandboxes on your highly tuned appliance? Perhaps not: after all, data privacy needs or other mandates might well require that data stay on-premises. If so, then look to a private cloud to fulfill your needs. Both you and your power users will be happy when they have access to the insights they want when they want them—and your data governance people will be happy, too.

3. Add value while easing administration burdens

When a preconfigured data warehouse in a container is delivered to your server “doorstep,” that’s just the beginning. It can also auto-manage allocated resources across analytics workloads—so if you have a set of resources (compute and storage) assigned to your data warehouse, you can easily throttle them to meet peak workloads using scale-out and scale-up capabilities. By scaling in, you avoid locking these resources for longer than needed. Your data warehouse adapts so that you don’t have to—all while making good, cost-effective use of your existing resources.

4. Support your cloud strategy

Many companies are moving workloads of varying types to the cloud. If you have an existing virtual private cloud, then data warehousing in a container helps you take advantage of your platform. When using supported container technology, you’ll need only install the data warehouse—and then off you go.

Private and virtual private clouds bring together the best of both worlds by offering cloudlike simplicity along with heightened levels of control over data and applications. If the idea of a private cloud appeals to you as the ideal solution for your modern data warehousing needs, then test out the new IBM dashDB Local data warehouse solution and free trial, which packages dashDB technology in a Docker container for deployment to the infrastructure of your choice.