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Make Data Work
Oct 15–17, 2014 • New York, NY

Strata + Hadoop World 2014 Call for Proposals

Call closed 11:59pm 04/30/2014 EDT.

Making Data Work

Do you have a talk waiting to be heard? A big idea to share? A skill to teach? Submit your proposal by April 30.

Since launching three years ago, Strata + Hadoop World has become the gathering place for those who work with and consume data to chart a course towards better decision-making and navigating a connected, always-on world. Strata showcases cutting-edge science and how that science helps organizations rethink business fundamentals.

Strata has sold out every year – largely due to the caliber and variety of speakers: data scientists, analysts, and executives with deep, hard-won knowledge from some of the world’s largest and most creative organizations.

Does that sound like you?

We’d love to put your ideas, case studies, best practices, and technical knowledge in front of an intelligent, engaged audience and help you make your mark.

Suggested Topics

These are just guidelines and suggestions—but we love to be surprised. If you want to submit a great proposal, see our tips on how to submit a proposal. The deadline for submissions is April 30, 2014.

Big Data in Action

  • Deep dives, integration tricks, practical lessons, and predictions
  • Stories of failure, and battle scars from the frontlines of big data deployment.
  • Unboxing the architecture behind top big data deployments
  • Case studies, particularly new and unexpected stories from fashion and tastemaking; leisure and travel; logistics and supply chains; weather, farming, and marine science; Insurance, risk, and legal; journalism; defense and intelligence; government and digital democracy; energy and utilities; banking and finance; retail and merchandising; and advertising technology.
  • Data distribution and markets
  • Data science best practice
  • Predictive analytics
  • Search
  • Machine learning, AI
  • Cloud platforms and infrastructure
  • Domain specific data, e.g. geodata, social data, time-series
  • Internet of things
  • Data security
  • Alternative approaches to big data
  • Convergence of big data with linked data

Business and Industry

  • Improving business decision-making
  • Monetizing data exhaust and analytics
  • Investing in the big data industry
  • Becoming a data-driven organization
  • Business metrics and analytics

Connected World

  • The impact of data technology on society
  • Privacy, confidentiality, and data protection
  • Open, public, and government data

Data Engineering

  • Big data platforms and architectures (Hadoop, Spark, Accumulo, Cassandra, Kafka, Storm, etc.)
  • Scaling, query performance, availability, compute cost, automation, encryption
  • Prepping, cleaning, organizing and augmenting data for analysis
  • Threat mitigation, security, adaptive attackers and data warfare

Data Science

  • Statistics, algorithms, and machine learning
  • Data analysis workflow, exploration, collaboration, peer review, documented reproducibility and data provenance
  • Using techniques from design and social science to create better experiments and ask the right questions
  • Data structures and layouts (tables, graphs, time series, unstructured text)
  • Fraud detection, adversarial analytics, game theory


  • Analytics and reporting
  • Design, interactivity, interfaces and visualization
  • User experience and data-driven design

Machine Data

  • Machine, sensor, crowd, and mobile data collection
  • Analysis and the Internet of Things

Organizational Changes

  • Helping organizations and analysts embrace new data tools
  • Moving to a numerate, data-driven culture
  • Managing data science teams
  • Moving from reporting and business intelligence to data science – democratizing access to data
  • Turning DBAs into data engineers


Tutorial submissions must be broadly applicable to the audience, and impart practical skills and insight. Tutorials are 3 hours long, and are invited on the following topics:

  • Hadoop, HBase and associated technologies
  • Cassandra, MongoDB or other broadly adopted NoSQL databases
  • R, Python
  • Core data science skills
  • Data journalism skills
  • Visualization and communication
  • Sensors, robotics and data collection

Required Information

  • Proposed title
  • Overview and extended descriptions of the presentation: main idea, subtopics, conclusion
  • Suggested tags
  • Suggested track
  • Speaker(s): expertise and summary biography

Presentation Types

  • 40-minute Session
  • 3-hour Tutorials

Limited speaking opportunities are also available through conference sponsorship. Contact Susan Stewart at (707) 827-7148 or for more information.

Helpful Resources for Proposals:

Tips for Submitting a Proposal

Help us understand why your presentation is the right one for Strata.

Please keep in mind that this event is by and for professionals. Our participants expect that all presentations and supporting materials will be respectful, inclusive, and "safe for work."

  • Be authentic! Your peers need original presentation ideas that focus real-world scenarios, relevant examples, and knowledge transfer
  • Give your proposal a simple and straightforward title. Clever or inappropriate titles make it harder for people to figure out what you’re really talking about
  • Include as much detail about the planned presentation as possible. The longer the talk you’re proposing, the more detail you should provide
  • If you are proposing a panel, tell us who else would be on it
  • Keep proposals free of marketing and sales
  • If you are not the speaker, provide the contact information of the person you’re suggesting. We tend to ignore proposals submitted by PR agencies unless we can reach the suggested participant directly. Improve the proposal’s chances of being accepted by working closely with the presenter(s) to write a jargon-free proposal that contains clear value for attendees
  • Keep the audience in mind: they’re professional, and already pretty smart
  • Context is important. If your presentation is about something truly ground-breaking, it will be helpful to the reviewers if you describe it in terms of things that attendees might already know of
  • Limit the scope of the talk: in 40 minutes, you won’t be able to cover Everything about Framework X. Instead, pick a useful aspect, or a particular technique, or walk through a simple program
  • Explain why people will want to attend: is your topic gaining traction? Is it critical to modern business? Will attendees learn how to use it, program it, or just what it is?
  • Repeated talks from the conference circuit are less likely to be appealing. The conference has a limited number of slots, and if attendees can see the same talk somewhere else, why should they come see you at this one? If you speak at a lot of events, be sure to note why this presentation is different
  • Don’t assume that your company’s name buys you credibility. If you’re talking about something important that you have specific knowledge of because of what your company does, spell that out in the description
  • Let us know in your proposal notes whether you can give all the talks you submitted proposals for
  • Does your presentation have the participation of a woman, person of color, or member of another group often underrepresented at tech conferences? Diversity is one of the factors we seriously consider when reviewing proposals as we seek to broaden our speaker roster
  • We welcome sessions for attendees with a variety of skill levels. Consider proposing a number of different skill-level sessions, and please indicate the experience and knowledge level of the audience that you are targeting: novice, intermediate, or expert.

Important Dates

  • Call for Proposals ends April 30, 2014
  • Proposers notified in June 2014
  • Registration opens in June 2014

Code of Conduct

We expect all participants, including speakers, to support our Code of Conduct, the core of which is this: an O’Reilly conference should be a safe and productive environment for everyone. Read more »

Submit a Proposal