Imagine the power and impact of shopper-like services for analysts seeking data. Finding the right data quickly is essential in the age of self-service analytics.
This webinar addresses the essential capabilities required to build a successful enterprise-scale data lake that accelerates data delivery to business users and expands analytic insights and agility across the organization.
In this recorded webinar, Paul Barth discusses how a leading pharmaceutical company is accelerating delivery of analytic data to their marketing analysts by migrating their data from a data warehouse appliance to a hosted Hadoop data lake.
Why the “Build It Here” approach to Data as a Service deployment might take longer and cost WAY more.
This interactive discussion will explore in detail what it takes to make a data lake that is truly enterprise ready.
Many early generation data lakes fail to progress from being unproven Hadoop experiments to enterprise-grade, business-ready analytic platforms.