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Java IoT Authors: Pat Romanski, Elizabeth White, Yeshim Deniz, Carmen Gonzalez, Liz McMillan

Related Topics: @CloudExpo, Microservices Expo, Open Source Cloud, Containers Expo Blog, Apache, @BigDataExpo

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Big Data Expo 2013 New York Call for Papers Now Open

Join the world-class faculty exploring how to use enterprise data – processed in the cloud – most effectively to drive value

There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. Get a jump on that rapidly evolving trend at Big Data Expo 2013 New York, co-located with 12th Cloud Expo - being held June 10 - 13, 2013, at the Javits Center in New York, NY.

As advanced data storage, access and analytics technologies aimed at handling high-volume and/or fast moving data all move center stage, aided by the cloud computing boom, Big Data Expo is the single most effective event for you to learn how to use you own enterprise data - processed in the cloud - most effectively to drive value for your business.

A recent Gartner report predicts that the volume of enterprise data overall will increase by a phenomenal 650% over the next five years. Help plant your flag in the fast-expanding business opportunity that is Big Data: submit your speaking proposal today!

Submit Your Speaking Proposal Here - Call for Papers: Open Through March 15, 2013

Topics will include:

  • Big Data Analytics
  • Scaling Big Data
  • Avoiding Big Data Silos
  • Data Warehousing
  • Big Data & Cloud Computing
  • Big Data Economics
  • HaaS: Hadoop as a Service
  • Cloudsourcing
  • Grid Software
  • Cloud-Delivered Testing
  • Predictive Analytics
  • Crunching Big Data with Java
  • Object Storage for Big Unstructured Data
  • High-Performance Computing (HPC)
  • Federal Big Data
  • Big Data Tools Landscape
  • Next-Gen IO & Architecture for Big Data
  • Base Data Stores
  • Big Data & Virtualization
  • Big Data in Academia
  • Scientific Big Data
  • Big Data & Security
  • Big Data & Cloud Governance
  • The Rise of Database Sharding
  • Big Data PaaS

The submission process is 100% online and the submissions URL is here.

More Stories By Liz McMillan

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