Munich Datageeks e.V.

The Datageeks Data Day

We started with the concept of a full-day meetup in 2016. Our aim was to provide the entire community with the opportunity to participate at a sort of data science conference at the expense of a ticket to the movies. The fact that this actually came to life is only due to our great sponsors that pay for food, drinks, and location. We are tremendously humbled by the increasing demand for our event with 100 people in the first year, 200 in the second, and 400 in the third season.

Talk at the DaDaDa event

DaDaDa Spotlights

Learn more about the hottest event about data and AI.

DaDaDa 2016 - Time Series Processing with Spark
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DaDaDa 2016 - Time Series Processing with Spark

Chronix: open-source time series database built on Apache Spark and Solr for monitoring globally distributed systems at massive scale (6.3 trillion observations/year). Achieves 92% compression (108GB→8.7GB) through innovative encoding.

DaDaDa 2016 - Finding Your Next Series to Watch Through Data Analysis
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DaDaDa 2016 - Finding Your Next Series to Watch Through Data Analysis

Video content recommendation using Yahoo's NSFW deep learning model for frame analysis, combined with subtitle text processing and audio analysis. Elasticsearch's More Like This feature creates recommendations—Dexter suggests Hannibal. Multi-modal beats single-source.

DaDaDa 2016 - Intro to Datageeks Data Day
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DaDaDa 2016 - Intro to Datageeks Data Day

We started with the concept of a full-day meetup in 2016. Our aim was to provide the entire community with the opportunity to participate at a sort of data science conference at the expense of a ticket to the movies.