Call for Speakers

Big Mountain Data and Dev Conference

Call for Speakers is closed. Submissions are no longer possible. Sorry.
finished 1,280 days ago

Big Mountain Data and Dev Conference

event starts

22 Oct 2020

event ends

23 Oct 2020

location

Online


Big Mountain Data and Dev Conference is the premier technical agnostic conference in the state.  This year we will be doing the event entirely online. The event will span two days and be free and open to all. We will still have amazing content and many different technologies showcased.  

Now is your chance to present and help build and maintain this amazing technical community we have.  Presenting at the event this year will be very different than other years since it is entirely online.  We will have trainings and mentoring to help you get acquianted with presenting online without an audience.  We will also have discussions on the platform we are using on how you will be able to use it for your presentation. 

We have not fully defined our Keynote schedule right now but we will be posting that soon.  We are looking for Keynote sessions if you are interested in doing a Keynote.  

Sessions are planned for during the day on Thursday and Friday.  All sessions right now will be 60 minutes in length.  We will have discussion and hallway track options open as well.  We will be looking for volunteers to help facilitate conversation on various topics.

Sessions will be recorded and then added to Utah Geek Events Youtube channel after the event.    

Why present? 

  1. Improve your skills and help others.  Presenting allows you to learn something even better than before and in the process you are helping others to gain information.  
  2. Advocate something you are passionate about.  If you really love a technology/topic share it with others!  Passion and drive show during presentations and will help others see that as well.  
  3. Name/Services Recognition.  If you are interested in getting more projects in the future or perhaps a new job/different career. Presenting on something not only shows how willing you are to learn but you are willing to help others. It is a great addition to any resume to be part of a community. 
  4. Make connections/Network.  Networking is key to moving forward in your career and presenting to others is a great way to build your network since people will want to hear from you.  
  5. You will get a really cool shirt!  I know we all have too many of these but you can say you are just one of a few that has a coveted "Speaker Shirt" from Big Mountain Data and Dev.

Session Selection

How we approach speaker selection. The schedule right now has room for about 50 sessions(still in flux). Sessions will be 60 minutes in length we suggest 45 minutes for presentations and 15 minutes for Q&A.  All presenters will only have 1 speaking slot until all presenters have a slot. Once the schedule has been filled we will then go back to the sessions and take second sessions from presenters based ranking of the abstract/presentation by committee.. I have included an example below to make this clear.

Pat Submitted 3 sessions to speak and the vote breakdown was like this. session1 = 2nd rank, session2 = 3rd rank, session3 =1st rank.

Nick Submitted 2 sessions to speak and the vote breakdown was like this. session1 = 2nd rank, session2 = 1st rank.

Pat would get Session3 placed on the schedule. Nick would then get his session2 placed on the schedule. This would continue through all speakers, after the last speaker had a slot chosen then we would go back and pat would also get session1 for 2nd rank(depending on other speakers and other ranks as well).

One of the primary goals of the event is to grow the speaker community. We encourage you submit to speak.  If you are a new speaker and would like a review of your presentation or help with practicing please contact us below.  We are happy to help you out.  

This event is designed to be a combination of Big Data and Utah Code Camp.  As we mentioned earlier we want as many technical topics represented as possible.  

If you have any additional questions contact 

Pat Wright

pwright@utahgeekevents.com 




finished 1,301 days ago
Call for Speakers
Call opens at 3:00 AM

15 Aug 2020

Call closes at 12:00 PM

01 Oct 2020

Call closes in Mountain Daylight Time (UTC-06:00) timezone.
Closing time in your timezone () is .

all submitted sessions

publicly listed on this page
105 submissions
Submitted sessions
Greg McMurray
  • Accelerating Your Career With Community Involvement
Pat Wright
  • After Hours Networking session
  • Social Happy Hour, In the middle of the day?
Madeline Thatcher, Jefferson Crow
  • Afternoon Game Session | Spooky Scavenger Hunt
Mike Clement
  • Online "tabletop" games
  • Mob Programming Hands-on
  • Refactor to Make the Change Easy (then make the easy change)
  • Taming scary production code that nobody wants to touch
  • Mob Programming for Continuous Learning
Viktor Gamov
  • Crossing the Streams: Kafka Tutorials Edition
  • Stream Processing Like You’ve Never Seen Before (with Spring Boot and Apache Kafka)
Chris Rains
  • Start and grow a data and analytics company - Part 2
Jessica Sharp
  • PostgreSQL Autovacuum Tuning Lessons From The Field
Catherine Addona-Peña
  • 150 years young: How digital transformation is building the bank of the future
Steve Peterson
  • Interviewing for a DBA job and how to Wow your new company.
Mark Fister
  • Neurodivergence @ Work
show all submissions
Sylvia Luo, Spencer Taylor, Adi Mannari, Lu Zheng, Yijia Chen
  • A data analysis exercise: Find the best and the worst performing stocks during the Coronavirus
Dhimant Shelat
  • Data@FSI (Financial Services Industry)
John Kerley-Weeks
  • Maturing Analytics within your Organization
Simba Maponga, Derek Cox
  • Business Continuity Testing at Scale
Roshni Chatterjee, Erica Myers
  • Machine Learning and Log Analytics
Lavanya Camsaripalli, Anuraag Verma
  • T-ResT: Automatic Test Framework for REST APIs from OpenAPI specification
Anuraag Verma
  • Request-Reply EIP Implementation using Apache Kafka
Stephen Kuenzli
  • Mission Impossible: DevSecOps
Chad Larson
  • 10 reasons spreadsheets hurt your business
  • Threat modeling for fun and security
Adam Phillipps
  • Intro to Item Similarity and the Embeddings that make it work
Tracy Di Marco White
  • Storage and Software Deployment: Bigger on the Inside
Nicole O'Meara
  • DocOps: Create better documentation with the tools you already use
Travis Bumgarner
  • Learning to Learn: Develop Skills to Master Anything
  • What's all this stuff powering my React project: An exploration in boilerplate
  • Talking Technical with Non Technical Talkers
Steven Lambert
  • Creating Technology that Does No Harm
  • Designing For Accessibility Using The Lenses of Accessibility
McKay Salisbury
  • Stop Getting Got by Git
Josue Lopez
  • React Native App Deployment Automation with Fastlane
  • Test, Build and Deployment Automation for your Web Apps
Jeff Lewis
  • Apache Kafka: The Crash Course
Manoj Agarwal
  • Serving Machine Learning models at scale
Ben Miller
  • TSQL Best Practices for Optimal Friendliness
  • Getting Started with PowerShell as a DBA
  • Gathering Database Ops Data with PowerShell
Ilya Reznik
  • Quick Tour of Topic Modeling
  • Building ML Products
Casey Mau
  • How I became a Data Engineer and why you should too.
Wes Novack
  • Scrape the Web for Fun & Nonprofit with Python
  • Build in the Cloud: an intro to Terraform
Alex Kessinger
  • How to reduce feature delivery friction with GraphQL
Rob Richardson
  • Vue.js and TypeScript: Working Together like Peanut Butter and Jelly
  • At The Helm of Kubernetes: Repeatable Infrastructure Creation for Mere Mortals
  • ASP.NET in Linux and Windows containers
  • Level-up Your DevOps with GitHub Actions and Kubernetes
  • The definitive deep dive into the .git folder
  • Making Kubernetes How We Build Things
Drew Gillies
  • What I learned from doing Kaggle courses with my pregnant wife
Oindrilla Sen
  • BDD and Agile Test Automation
Dr Ganesh Neelakanta Iyer
  • Dance meets Deep Learning - A story of how I used my technology skills for my passion
  • Risk Assessment - Site Reliability Engineering vs Cyber Security
  • Create and manage your first docker container image - from zero to hero
  • Site Reliability Engineering - A new way to look at reliability
Nicolas Fränkel
  • Introduction to stream processing
  • A Change-Data-Capture use-case: designing an evergreen cache
Tuhin Sharma, Mayakrishnan Chakkarapani
  • Serverless Deployment Pipeline using OSS Packer & Terraform
Nick Doiron
  • Plug into JAX frameworks: Flax, Objax, and Elegy
Ricardo Ferreira
  • Streaming Data using Apache Kafka and the Elastic Stack
  • Streaming Data using Apache Pulsar and the Elastic Stack
Steve Pereira
  • Map What Is, Get to What's Next
  • Five Reasons Value Stream Thinking Is the Future of DevOps
Facundo Giuliani
  • Jamstack: Going (a little bit) back to the roots
Fabio Tiriticco
  • From Zero to Deep Learning On The JVM
Anuradha Kumari
  • Inaccessible websites? - It's you, not JavaScript!
  • Making the web accessible - the responsibility no one taught us about
Jonathan Turner
  • "Microservices Will Save Your Life" and Other Lies
  • 7+ Years of Pair and Mob Programming - Ask Me Anything
  • C# 7 and 8 Features
Scott Asai
  • Soft Skills Get Hard Results
Joe Karlsson
  • Advanced MongoDB Schema Design Patterns
  • An Introduction To IoT (Internet of Toilets 🚽); Or How I Built an IoT Kitty Litter Box Using JS
  • [Keynote] The Art of Computer Science
  • Save The World And Money with Data Lake's
  • MongoDB Schema Design Best Practices
Gerry Seidman
  • Understanding Kubernetes Storage: From Zero to Writing a CSI Driver
Lauren Schaefer
  • Top Ten Tips for Making Remote Work Actually Work Right Now
  • Is remote work the key to unlocking diversity in tech?
  • Stop! Don't Make These Mistakes in Your Document Database
  • From Tables to Documents—Changing Your Database Mindset
Robin Moffatt
  • Kafka as a Platform: the Ecosystem from the Ground Up
  • 🤖Building a Telegram bot with Go, Apache Kafka, and ksqlDB
  • Apache Kafka and ksqlDB in Action: Let's Build a Streaming Data Pipeline!
Ayon Roy
  • PySpark : Combining Machine Learning & Big Data
Andres Carrera
  • What Working at McDonald's Taught Me About Software Development
Conner Jensen
  • A Year With The Go Programming Language
Daniel Stober
  • What I Learned During the Quarantine: D3.
Rho Lall
  • Introduction to Churn Analysis: Analyzing Retention in Excel, R, & Python
  • Facts, Alternative Facts, & BS: Hacking the Truth Behind Data Visualization & Statistics
  • Career Hacking: How to Break In to A Career in Tech
Michael Warren
  • Clojure 101
  • JVM to .Net The Career Move
  • Building SOLID code
Moshe Zadka
  • Documentation By and For Developers
Josh Cummings
  • Getting Started with Live Coding
  • Spring Security Patterns
  • If Hemingway Wrote JavaDocs
Michael Jonaitis
  • An Introduction To Ansible Playbooks
Aaron Cutshall, DHA, MSHI
  • How to Give a Technical Presentation