How to Build Modern Data Architectures Both On Premises and in the Cloud

July 20, 2017
Enterprises are beginning to consider the deployment of data science and data warehouse platforms on hybrid (public cloud, private cloud, and on premises) infrastructure. This delivers the flexibility and freedom of choice to deploy your analytics anywhere you need it and to create an adaptable and agile analytics platform. But the market is conspiring against customer desire for innovation... Leading public cloud vendors are interested in pushing their new, but proprietary, analytic stacks, locking customers into subpar Analytics as a Service (AaaS) for years to come. In tandem, Legacy Data Warehouse vendors are trying to extend the lifecycle of their costly and aging appliances with new features of marginal value, simply imitating the same limiting models of public cloud vendors. New vendors are coming up with interesting ideas, but these ideas are often lacking critical features that don’t provide support for hybrid solutions, limiting the immediate value to users. It is 2017—you can, in fact, have your analytics cake and eat it too! Solve your short term costs and capabilities challenges, and establish a long term hybrid data strategy by running the same open source analytics platform on your infrastructure as it exists today. In this webinar you will learn how Pivotal can help you build a modern analytical architecture able to run on your public, private cloud, or on-premises platform of your choice, while fully leveraging proven open source technologies and supporting the needs of diverse analytical users. Let’s have a productive discussion about how to deploy a solid cloud analytics strategy. Presenter : Jacque Istok, Head of Data Technical Field for Pivotal https://content.pivotal.io/webinars/jul-20-how-to-build-modern-data-architectures-both-on-premises-and-in-the-cloud
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