Analyst Video (Featuring Gartner): Big Data Management and Best Fit Engineering

As enterprises add platforms to serve rising business user demands, architectures can become complex and costly to manage.  Their CIO, CDO or CTO might understand the value of Hadoop or the Cloud, but still struggle to apply it effectively to their workloads and data environment.  Management complexity and cost burdens make it critical for enterprise CxOs to correctly adopt common and best practices as they add platforms to their architectures.  In the end, they must be able to place the right data in front of the right user at the right time. In this video webinar, Mark Beyer, VP and Distinguished Analyst at Gartner, and Attunity’s Kevin Petrie will explore these enterprise challenges and explain how the concept of “best fit engineering” can guide CxOs’ best and common practices.

Watch to learn:

  • What makes ready data access and data integration so critical to information strategy and architecture
  • How to measure the success of your data architecture
  • How “best fit engineering” can be applied to enterprise data ecosystems and data management
  • What best practices enable IT organizations to meet increasingly stringent business SLAs
  • What innovative data management solutions help you realize the benefits of best fit engineering

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