Name: 8th Spark Meetup: Share and analyse genomic data at scale with Spark [...]
Start: 2015-07-01T18:30:00+01:00
End: 2015-07-01T21:30:00+01:00
Location: Campus, powered by Google

We're delighted to announce the 8th London Spark Meetup, which will host Andy Petrella and Xavier Tordoir from Liege, Belgium.

Doors will open at 6:30pm, the talk will start at 7pm.

A special thanks to Skimlinks and Galvanize which support us offering pizzas and beers.

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Synopsis and Bios

"Share and analyse genomic data at scale with Spark, Adam, Tachyon and the Spark Notebook"

Genomics and Health data is nowadays one of the hot topics requiring lots of computations and specially machine learning. This helps science with a very relevant societal impact to get even better outcome. That is why Apache Spark and its ADAM library is a must have.

This talk will be twofold.

First, we'll show how Apache Spark, MLlib and ADAM can be plugged all together to extract information from even huge and wide genomics dataset. Everything will be packed into examples from the Spark Notebook, showing how bio-scientists can work interactively with such a system.

Second, we'll explain how these methodologies and even the datasets themselves can be shared at very large scale between remote entities like hospitals or laboratories using micro services leveraging Apache Spark, ADAM, Play Framework 2, Avro and Tachyon.

Andy Petrella (https://twitter.com/noootsab)

Andy is a mathematician turned into a distributed computing engineer with an entrepreneurship trait. Andy is a certified Scala/Spark trainer and wrote the Learning Play! Framework 2 book. He participated in many projects, building on top of spark, cassandra, and other distributed technologies, in various fields including Geospatial, IoT, Automotive and Smart cities projects. He is the creator of one of the top projects on GitHub related to Apache Spark and Scala, the spark-notebook (

https://github.com/andypetrella/spark-notebook/

). He enjoys his contribution to the processing and data science teams of the notable and successful start-up Virdata. He also co-founded, with Xavier Tordoir, the Data Fellas company dedicated to data science and distributed computing.

Xavier Tordoir (https://twitter.com/xtordoir)

Xavier has a strong background as a scientist in experimental physics and bioinformatics. Previously an academic researcher, he focused on the data processing part of the job, with projects in finance, genomics and software development. During that time, he worked on timeseries, on prediction of biological molecular structures and interactions, and applied Machine Learning methodologies. He developed solutions to manage and process data distributed across data centers. Now, having embraced functional programming, Scala and the newer distributed technologies, he contributes to machine learning and data processing aspects of projects through the company Data Fellas, co-founded with Andy.

Francesco Bucci

Martin Goodson

Apache Spark+AI London

London Machine Learning and Artificial Intelligence Talks

The organiser, Evolution AI, is an award-winning data extraction firm.

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ArcticDB

Capgemini

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8th Spark Meetup: Share and analyse genomic data at scale with Spark [...]

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