Apache Spark Maker Community Event

In-Person Event | June 6, 2016 at 5:30 PM PT, Galvanize San Francisco – Soma, 44 Tehama St, San Francisco, CA 94105

The cognitive era demands data to support all decisions, anytime, anywhere. To support the establishment of the cognitive era AMPLab, Databricks, Lightbend, and IBM are helping organizations work with a full range of data to build more intelligent business applications faster. Join us to learn how you can make Apache Spark business applications a reality for your company:

  • What’s hot: Be among the first to experience new  Apache Spark applications Skills: : Lean how to bring together open technologies like  R, Python, Hadoop, Spark and more to transform data into usable business applications
  • Data Science Tools: Work with a wide range of data, programming languages and modeling tools in a simplified way
  • Jobs: Match your talent with employers’ needs.

When you attend, bring your data and your toughest questions to some of the leading minds in data science. After you hear from these featured data experts, you’ll have the opportunity to go in depth with your peers:

  • 5:30 PM PT–6:30 PM PT: Registration at Galvanize
  • 6:30 PM PT–7:00 PM PT: Keynote and Special Announcements
    • Dr. Seth Dobrin, Director of Digital Strategies, Monsanto - "The Business Value of Spark"  
  • 7:00 PM PT–7:45 PM PT: Listen to a panel of data science leaders discuss how to make Apache Spark business applications:
    • Ritika Gunnar, vice president of offering management, IBM Analytics - Moderator
      • Ritika Gunnar has worked in development and pre-sales enablement and currently leads offering management for IBM Analytics. Ritika strongly believes in the power of education for today's youth and spends a lot of time advocating and mentoring young women interested in science and engineering. She is a native of Austin and has an MBA and a BS in Computer Science from the University of Texas at Austin.
    • John Akred, chief technology officer, Silicon Valley Data Science
      • With over 15 years in advanced analytical applications and architecture, John is dedicated to helping organizations become more data-driven. He combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership.
    • Todd Holloway, director of content science and algorithms, Netflix
      • Todd Holloway is a Big Data expert whose career has oscillated between two equally interesting areas—artificial intelligence and data visualization. His AI work has spanned projects with Amazon, AT&T, TheFind, Trulia, and Netflix. His visualization work has been featured in a number of exhibits and publications. He is a lecturer at the Berkley School of Information.
    • Matthew Conley, data scientist, Tesla Motors
      • Matthew Conley has years of hands on experience with scalable data technologies such as Spark, AWS, and MapReduce. He worked on PinStack, a knowledge recommendation engine for Data Science topics in Stack Exchange. Before Tesla Motors, he worked at Boeing.
    • Nick Pentreath, Spark Committer and STC Engineer, IBM
      • Nick Pentreath is a member of the Apache Spark Project Management Committee. He has has a background in financial markets, machine learning, and software development, including experience as a research scientist at the online ad targeting start-up Cognitive Match Limited in London and leading the Data Science and Analytics team at Mxit, Africa's largest social network. He is also one of the cofounders of Graphflow, a big data and machine learning company focused on user-centric recommendations and customer intelligence. He now works at the Spark Technology Center.
  • 7:45 PM PT–8:00 PM PT: Apache Spark Maker Honorees
  • 8:00 PM PT–9:30 PM PT: Food, drink and data during the Apache Spark Maker Demonstrations

Click here to register to attend in person.

Also, for those who can’t attend in person, we’ll be live streaming this event to a computer screen near you! Register for the live stream, and we’ll send you a calendar update and the login link. While you wait, visit the Spark Technology Center site to explore online Spark courses and discover relevant meetups, hackathons and conferences in your neighborhood.