Don’t be Duped: Hadoop Roll-out can be Pain Free & Easy

How 3 Organizations Achieved Operational Efficiency and Business Transformation!

Get ahead of the curve in harnessing the power of data analytics. Don’t hinder your organizations competitive edge due to Hadoop hurdles, jump over them!

Hadoop and it’s Data Analytics capabilities offer tremendous potential for deriving business insights from ever increasing stores of data, but many organizations struggle with lack of in-house skills and time to work on Hadoop design, architecture, networking and configurations. Is your organization one of them?

Available:
On Demand
Duration:
1h 00min

Attend this webinar so you can:

  • Understand the key issues hindering successful deployment of Hadoop Data Analytics
  • Learn how by unlocking all of your data, business transformation becomes possible
  • Hear about three organizations, their issues, use cases and how they got the help they needed to succeed

Attend this webinar to discover how you can quickly get started on your journey towards Hadoop Data Analytics deployment success!

Featured Speakers

  • Armando  Acosta
    Armando Acosta
    Hadoop Product Manager
    Dell EMC

    Armando Acosta has been involved in the IT Industry over the last 17 years with experience in architecting IT solutions and product sales, marketing, management, planning, and strategy. Armando’s latest role has been focused on Big Data/Hadoop solutions; addressing solutions that evolve new capabilities for emerging customer needs and assisting with the roadmap for new products and features. Armando graduated from the University of Texas at Austin and resides in Austin, TX.

  • Mark  Orth
    Mark Orth
    Portfolio Solutions Marketing Manager
    Dell EMC

    Mark Orth is an IT industry veteran having held numerous sales and marketing roles with Intel, Microsoft and Hitachi Data Systems prior to joining EMC. He’s now a Portfolio Solutions Marketing Manager with Dell EMC Converged Platforms and Solutions Division focused on Hadoop and Data Analytics.

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