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Building a Modern Data Architecture

June 26, 2017

The desire to compete on analytics is driving the adoption of big data and cloud technologies that enable enterprises to inexpensively store and process large volumes of data. From NoSQL and in-memory databases, to Hadoop and Spark, these technologies offer new and distinct capabilities to the world of enterprise data management. The growing challenge of delivering information where and when it is needed requires a modern data architecture with governance, security, speed, and flexibility.

- Bruce Sandell, Senior Sales Engineer, Alliances at Looker
- Danny Sandwell, Senior Product Manager at erwin, Inc.
- Mark Van de Wiel, CTO at HVR

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As businesses grow, the tools and technologies they rely on must either evolve with them or be replaced. To...

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Understanding the customer is a long-standing goal of BI and Analytics, but striving toward that 360 degree...

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