Efficient Big Data Capabilities Help Cerner Drive Needed Improvements into Healt
Nov 6, 2013 ·
14m 44s
Subscribe to the podcast on iTunes. Read a full transcript or download a copy. Sponsor: HP. The next edition of the HP Discover Podcast Series delves into how a healthcare...
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Subscribe to the podcast on iTunes. Read a full transcript or download a copy. Sponsor: HP.
The next edition of the HP Discover Podcast Series delves into how a healthcare solutions provider leverages big-data capabilities. We’ll see how Cerner has deployed the HP Vertica Analytics platform to help their customers better understand healthcare trends, as well as to help them better run their own systems.
To learn more about how high-performing and cost-effective big data processing forms a foundational element to improving healthcare quality and efficiency, join Dan Woicke, Director of Enterprise Systems Management at Cerner Corp. based in Kansas City, Missouri.
The discussion, which took place at the recent HP Vertica Big Data Conference in Boston, is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.
Subscribe to the podcast on iTunes. Read a full transcript or download a copy. Sponsor: HP.
show less
The next edition of the HP Discover Podcast Series delves into how a healthcare solutions provider leverages big-data capabilities. We’ll see how Cerner has deployed the HP Vertica Analytics platform to help their customers better understand healthcare trends, as well as to help them better run their own systems.
To learn more about how high-performing and cost-effective big data processing forms a foundational element to improving healthcare quality and efficiency, join Dan Woicke, Director of Enterprise Systems Management at Cerner Corp. based in Kansas City, Missouri.
The discussion, which took place at the recent HP Vertica Big Data Conference in Boston, is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.
Subscribe to the podcast on iTunes. Read a full transcript or download a copy. Sponsor: HP.
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