Join us at Cloudera Sessions as like-minded data innovators from around Minneapolis come together for a comprehensive day of exploring the different stages of the data journey.

Whether you are trying to increase operational efficiencies, discover and automate analytics, or transform your industry through unique data applications, we will walk you through our first hand experience of helping organizations build a modern architecture in order to make analytics pervasive across their organization.

Cloudera Sessions 2016
Minneapolis | 6.22.16

Hyatt Regency Minneapolis
1300 Nicollet Mall
Minneapolis, MN


8:00AM - Breakfast in the Partner Pavilion

9:00AM - Keynote: Big Value with Big Data

Data is transforming industries and creating massive value for businesses. It can help us better understand our world, build innovative products and services, and manage operational risk and compliance. Taking advantage of these opportunities, including the internet of things, requires a modern approach to working with data, and success takes more than just applying new technologies like Apache Hadoop. Join us to learn how to get started on your journey to a data strategy.

10:00AM - Partner Pavilion

10:30AM - Customer panel

  • Dan Bennett, VP, Head of Data Services, Thomson Reuters
  • Shane Christensen, Senior Architect, Boston Scientific
  • Wayde Fleener, Senior Manager Big Data, General Mills
  • Al Jackson, VP, Information Management & System Performance, Surescripts
  • Pete Schwartzbauer, Senior Manager EDW, BI, Big Data, SuperValu

11:30AM - Panel: How Do I Get Started?

12:00PM - Lunch

1:00PM - Breakouts

Hadoop and Spark Essentials

New to Hadoop and Spark or still need to sharpen your understanding? Trying to figure out what Sqoop, Flume or Hive are and what they can be used for? If so, you're not alone. Hands on Hadoop and Spark is the ultimate guide to help you take your understanding to the next level. Join Cloudera as we take you through the origins of Hadoop, discuss existing and new projects, what they are used for, and how you can apply Hadoop and Spark to modernize your data architecture.

Architecture Modernization -Kafka and Spark 101

As organizations become dependent on bringing in more data for analysis new demands are placed on the systems that process and ingest data.  Slow performance and data format restrictions can cause delays in delivering insights to the business or prohibit data from even being captured.  Cloudera Enterprise offers a modern solution for ingesting and processing data quickly and securely.  Users are leveraging our tools to build end-to-end pipelines to power their business.  Learn in-depth about how Kafka and Spark's operate in accelerating data delivery.   


3:00PM - Happy Hour reception


  • Rryan Bosshart

    Senior Sales Engineer

  • Mike Moreno

    Senior Partner Marketing Manager, Cloudera

  • Ryan Wieber

    Sales Engineer

  • Joe Toth

    Account Executive

  • Al Jackson

    VP, Information Management & System Performance, Surescripts

  • Dan Bennett

    VP, Head of Enterprise Data Services, Thomson Reuters

  • Wayde Fleener

    Senior Manager, Big Data, General Mills

  • Shane Christenson

    Sr Architect,
    Boston Scientific



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