Big Data TechCon
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Big Data TechCon San Francisco 2013
Call for Speakers is Now Open!

Are you an expert in managing, processing or analyzing Big Data? Do you have solid teaching experience and credentials?

Big Data TechCon is for technical practitioners – the data scientists, developers and analysts who actually make Big Data work at their companies or for their clients. Job titles may vary, but the attendees of Big Data TechCon will be relying on you to help get them up to speed – or increase their expertise – that will empower them to give their companies a competitive advantage.

What do these professionals all have in common? They'll be attending Big Data TechCon, coming to the San Francisco Bay Area from Oct. 15-17, 2013, to learn HOW-TO master Big Data.

Big Data TechCon kicks off on Tuesday morning with deep-dive 3 1/2-hour tutorials. Wednesday and Thursday contain dozens of 60-minute classes.

When you propose a tutorial or a class, be clear about the audience. Details matter. Expect to teach to your session description. Don't promise something and fail to deliver it. For example, if you say that your session is advanced, it must be advanced. If you say your session is hands-on, it must be hands-on. If you say that your session covers three specific frameworks, you must cover all three frameworks.

Bear in mind, attendees pay a lot of money to attend Big Data TechCon – there's not merely the cost of the conference, but also airfare, hotel and meals.

In addition, they are taking valuable time out of the office, in some cases, foregoing billable hours or delaying projects in order to attend Big Data TechCon. If they are in your tutorial or technical class, they expect you to be a well-prepared instructor who will teach them new skills and provide real understanding, exactly as described in your session description.

Don't let them down.

No parachuting. We want you to fully engaged in the show.
Get your agreement and other conference materials in on time.
Get your slides and other class and tutorial materials in by the deadline you have been given.
Do not pitch a product, service or book during your class or tutorial.
Start your class or tutorial on time and end on time.
Test your AV beforehand to ensure it will work. Also have a contingency plan in the event things don't work on site.
Make sure you can work offline in case there is a problem with the classroom wireless network.
Double-check that what you are teaching covers everything promised in your session title and abstract.
Talk up the conference and your participation via Twitter, your blog, and your professional network.
Share ideas to help make the conference content better, and recommend other excellent speakers.
Recommend other excellent speakers from your peers and your colleagues.


Classes and tutorials at Big Data TechCon are taught at three levels: Overview, Intermediate and Advanced.

Attendees rarely complain that a session has too much detail – but they will be disappointed if your content is fluffy. Don't forget: This is a technical conference, and the attendees are season data management, development or analysis professionals. In all sessions, attendees want to know the details. For all development-oriented sessions, attendees expect to see code.

Overview: No previous knowledge of the class's subject is required, and the session will be a high-level introduction of the topic. (Note: We accept very few overview-level classes.)

Intermediate: These broad technology sessions emphasize capabilities and how things work. As appropriate, the instructor will show examples or code. (Note: We accept very few intermediate classes. We suggest you take the session to a deeper level and make the class advanced.)

Advanced: These sessions teach attendees how to implement a solution. As appropriate, the instructor will include detailed samples or code. (We plan for at least two-thirds of sessions to be at the advanced level.)

In your session proposal, please tell us:
  • The proposed title of your session. We reserve the right to change it.
  • A session description of at least 150 words, and we prefer 300 words. The more detail, you provide, the better for everyone. We reserve the right to change it.
  • If you will be showing code, please let us know: We highlight that in the course catalog.
  • If your session is a lecture format, or if it's a hands-on with attendees following along on their laptops.
  • If you commit to providing your presentation and/or handouts at least a week before Big Data TechCon.
  • Tell us if your session is Overview, Intermediate or Advanced.
  • Explain what prerequisite skills or knowledge should be expected. Be specific!
Acceptance of your class proposal will be based not only on your topic's timeliness and relevance, but also on your personal credentials as Big Data expert and experience as an instructor. Be sure to communicate clearly what your class will be about, who will benefit from taking it, any prerequisite knowledge, and what the student will learn. A muddled, confused submission is likely to get rejected.

The ideal instructor is someone with real-world experience building Big Data solutions. You should have proven experience teaching practical solutions to real-world challenges, presenting new skills, and offering students an information-packed learning experience. If that describes you, please submit a session proposal!

One Instructor! Our experience shows that a class taught by more than one instructor is generally not as satisfying as a class taught by a single instructor. If you are proposing multiple instructors, be sure to explain why — and define the role that each instructor plays in the class. (Only the lead instructor in a multiple-instructor class will receive a free pass to Big Data TechCon.)

Be Prepared! Teaching at Big Data TechCon means more than just showing up at the conference. Please pay attention to the deadlines for submission of handouts and other materials. These deadlines help us ensure that the conference provides a quality educational experience for all attendees, and your cooperation is appreciated.

No Parachutes! Part of the value of having an expert speaker at Big Data TechCon is that you'll stick around for the conference and interact with attendees and other speakers. We expect our instructors to commit to the Big Data TechCon experience, and not just parachute in for a class, teach, and then disappear. Of course, speaking at Big Data TechCon gives instructors a free pass to the rest of the technical conference. (Only the lead instructor in a multiple-instructor class will receive a free pass to Big Data TechCon.)

No Substitutions! Proposals are from individual instructors, not from companies. You are proposing something that you personally wish to teach at Big Data TechCon. If we accept your proposal, our agreement is with you, not with your employer. We expect you to personally and professionally committing to attend the conference and teach the classes that you have agreed to teach. If you change employment, we expect that you will honor your agreement to teach your class.

No Marketing! Attendees come to take technical classes — they don't want to hear a sales pitch, no matter how thickly veiled. Please do not submit classes that are intended to persuade attendees to buy your product, use your services, or hire you as a consultant. Big Data TechCon classes are for teaching, not for marketing. ("It was a sales pitch!" is a complaint we never want to hear from conference attendees.)

No Vendors! Big Data TechCon doesn't accept session proposals "from companies." We are looking for experts who wish to teach— not for companies seeking a PR/marketing opportunity. Therefore, we don't accept any session proposals from PR agencies or marketing departments. If we receive such proposals, we will request that the proposed instructors contact us directly.


Event Schedule:
Tuesday, October 15, 2013: Tutorials
Wednesday, October 16, 2013: Technical Classes
Thursday, October 17, 2013: Technical Classes

Speaker Deadline:
Friday, May 10, 2013: Abstract submissions, including all information described below.
Friday, May 24, 2013: Speaker notification of acceptance.

The speaker submission should be submitted to Big Data TechCon by the speaker himself/herself. Please include the following information in the speaker proposal. Incomplete submissions may not be accepted.

  • The proposed title of your session.
  • The length of your session (tutorial or class).
  • The level of the session (Overview, Intermediate or Advanced).
  • Abstract/description, 150–300 words, explaining what will be covered in the session what attendees will learn from it.
  • Describe whether your talk is hands-on, requiring that students bring a laptop with the SDK and tools, or if it's a lecture/discussion.
  • Tell us if you will be showing code.
  • Tell us if you commit to providing your presentation and/or handouts to us at least a week before the conference begins.
  • Your bio, 125–150 words, with a summary of your teaching expertise.
  • Your name, mailing and e-mail addresses, telephone and cell phone numbers.
  • Your hi-res digital headshot, see
  • Twitter and blog addresses (if you have them).

Please submit your information electronically as a text e-mail or as a Word document to Katie Serignese, Conference Program Manager.

Note that we will edit class titles, descriptions and bios to fit our style, and to ensure that the description clearly presents information about your session to attendees.


Katie Serignese
Conference Coordinator
+1-631-421-4158 x128



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