[Pizza Lunch] Open big data: Get Data Science enterprise ready
Details
In this talk, Andy Petrella will talk about the different challenges faced by the Enterprise to bring data science projects in production.
Andy will propose a solution based on Adalog developed by Kensu, which is following a top down approach starting from the Data Scientists needs to the data needs using distributed technology, end-to-end pipelining, one-click deployment and knowledge management.
The talk will also cover the next challenge when Data Science goes to production smoothly: • How to deal with the Knowledge spread across all data science projects?
• How to know what data is available and what processes have been built already?
• How to ensure stability of the results?
• How to know if datasets are linked or not, and how!?
• … The good news is that Adalog is primarily build to tackle these problems about knowledge management in the long run. The demo will then show how this is achieved by Kensu’ customers using Adalog.
http://www.kensu.io/
Bio:
Andy is a mathematician turned into an entrepreneur in/with Data Science.
Andy participated in many projects built on distributed technologies like spark, cassandra and mesos in various fields including Geospatial, IoT, Automotive and Smart cities projects.
He is the creator of the Spark Notebook, the only reactive and fully Scala notebook for Apache Spark.
Xavier Tordoir and Andy founded Kensu building Adalog to make Data Science enterprise ready.
Andy has many collaborations with O’Reilly:
• program committee member of the O’Reilly Strata
• co-writing an Scala for Spark in Production
• co-teach how to create distributed data science pipeline
Tentative agenda:
11h45 - arrival, take some food / pizza
12h00 - talk&demo&questions
13h00 - hanging around, eat more pizza, discuss with the people
Looking forward to seeing you all guys!
(Guys can you please unregister if you are not sure you are coming? Because we have to order pizzas. Thanks!)
All our talks are in english