Past Community Speedrun Challenges 

This February the first edition of the Community Speedrun Challenge took place with topics around Big Query, Kubernetes, Developer Essentials as well as Cloud Run. Find below the information about the different topics and trainers.

Speedrun #1: BigQuery Basics for Data Analysts

Labs: Introduction to SQL for BigQuery and Cloud SQL, BigQuery: Qwik Start - Console, Predict Visitor Purchases with a Classification Model in BQML, Working with JSON, Arrays, and Structs in BigQuery    
  • Timeframe: February 3rd-9th
  • Leaderboard
  • Webinar with Michael Abel (Google) - Recording
    • February 3rd, 19.00-21.00 (GMT+01)
    • Lab: Introduction to SQL for BigQuery and Cloud SQL

Speedrun #2: Kubernetes in the Google Cloud

Labs: Kubernetes Engine: Qwik Start, Introduction to Docker, Orchestrating the Cloud with Kubernetes, Managing Deployments Using Kubernetes Engine
  • Timeframe: February 10th-16th
  • Leaderboard
  • Webinar with Sam Marder (Google) - Recording
    • February 10th, 19.00-21.00 (GMT+01)
    • Lab: Kubernetes Engine: Qwik Start

Speedrun #3: Google Developer Essentials

Labs: Classify Images of Clouds in the Cloud with AutoML Vision, Weather Data in BigQuery, Entity and Sentiment Analysis with the Natural Language API, Google Assistant: Build a Youtube Entertainment App
  • Timeframe: February 17th-23rd
  • Leaderboard 
  • Webinar with Mylene Biddle (Google) - Recording
    • February 18th, 19.00-21.00 (GMT+01)
    • Lab: Classify Images of Clouds in the Cloud with AutoML Vision.

Speedrun #4: Introduction to Cloud Run

Labs: Hello Cloud Run, Build a Serverless App with Cloud Run that Creates PDF Files, Serverless Compute: Microservices with Cloud Functions, Cloud Functions: Qwik Star
  • Timeframe: February 24th-March 1st
  • Leaderboard
  • Webinar with Marek Biskup (Google) - Recording
    • February 24th, 19.00-21.00 (GMT+01)
    • Lab: Hello Cloud Run
Profile

Mylene Biddle 

Technical Trainer at Google Cloud 
 

Mylene is a former software engineer that found a passion in teaching technology. Since getting her graduate degree in curriculum and instruction, she’s been in the technical training world for the past 4 years, mainly focusing on public cloud technology. 

Profile

Sam Marder 

Software Engineer at Google Cloud 
 

 

Profile

Marek Biskup 

Senior Software Engineer at Google Warsaw 
 

Marek manages a team working on Data Catalog. Before Google, he worked on the back-end of the enterprise dedupe storage appliance NEC HYDRAstor, and on data analysis tools for LHC at CERN.

Profile

Michael Abel 

Data and Machine Learning Technical Trainer at Google
 

Michael is a Data and Machine Learning Technical Trainer at Google, focusing on enabling customers to most effectively use tools on Google Cloud for managing large datasets and machine learning at scale. Before joining Google, Michael worked as a mathematician in academia where he both taught various mathematics courses and performed research in mathematics.