Four reasons to adopt a data warehouse for private cloud

2 min read

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:

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.

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.

 

Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.