How to Fail Your Big Data Project Quick and Rapidly

Data Science
Location: Room 1-6 Level: Intermediate
Average rating: **...
(2.83, 6 ratings)

This year on June 2nd a new airport was supposed to open in Berlin. After lots of training, preparation and advertisement it looks like its opening is going to be delayed by roughly another year.

When big projects fail implications are generally severe. The software industry has not good reputation for delivering software on schedule, in a stable version and within budget. The more complexity is added to these projects the more likely something will fail.

This talk will highlight some of the biggest anti patterns when it comes to scaling your data analysis, when introducing business intelligence, when supporting data driven development. It will show what to do to quickly turn your shiny new data science project into a miserable failure.

Photo of Isabel Drost-Fromm

Isabel Drost-Fromm

Apache Software Foundation/ Nokia Gate 5 GmbH

Isabel Drost is member of the Apache Software Foundation. She is founder of the Apache Hadoop Get Together in Berlin, was co-organiser of the first European NoSQL meetup as well as the Berlin Buzzwords conference. She co-founded Apache Mahout and is active Apache Mahout committer. Isabel is actively engaged with communities of various Apache projects, e.g. Apache Lucene and Apache Hadoop. She is regular speaker at renown conferences on topics related to free software development, scalability, Apache Lucene, Apache Hadoop and Apache Mahout. Currently Isabel Drost works for Nokia Gate 5 GmbH as Software Developer.

Hannes Kruppa

Nokia Maps


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