Dear Community,
get ready for the 19th Knowledgefeed of the VDSG!
Please note, that we are meeting in the offices of Parkbob (http://www.parkbob.com/) this time (Treustraße 22-24, 1200 Vienna, see map (https://goo.gl/maps/mCnjecsEyPT2)). Thanks again guys for sharing the spirit!
For those of you joining us for the first time, a short description below.
During these sessions we are inviting specialists presenting their hands-on experience, current project or simply ideas regarding topics related to our field of interest (the reason for this rather wide description is based on the wide scope of data science (https://en.wikipedia.org/wiki/Data_science) itself… ;-)). Furthermore this gives you the opportunity to ask our lecturer of the evening questions, discuss your ideas and of course enjoy a beer in company of some interesting folks!
In addition please do not hesitate to present your own projects, ideas or thoughts…we are more than gladly sharing the stage with you! Please refer to our last blog-post (http://viennadatasciencegroup.at/2016/09/06/power-to-the-people/) / Discussion entry (http://www.meetup.com/Vienna-Data-Science-Group-Meetup/messages/boards/thread/50113851) for further details.
This Knowledgefeed is featuring talks by 2 very special guests from our growing data scientist network in Mid-Europe:
Title: Spark SQL and Oracle Database Integration
Description: Spark SQL (http://spark.apache.org/docs/latest/sql-programming-guide.html) and Oracle Database make up for a powerful combination and Pawel will show us how to integrate them together.
Duration: about 30 min
Powered by: Pawel Jedrzejewicz (https://www.linkedin.com/in/pjedrzejewicz/) is a Very Large DataBase (VLDB) (https://en.wikipedia.org/wiki/Very_large_database) specialist at mBank S.A. in Warsaw. He finished his studies in the Warsaw University of Technology (https://www.pw.edu.pl/engpw). The talk is given per Skype. (This is actually a new try - let’s hope we manage to get connected this time :-)
Title: Big Data Analytics on textual data
Description: In this presentation Živko will present 3 case studies based on Big Data Analytics powered by JupiterOne (http://crossing-technologies.com/jupiterone/). Analysis on data from Facebook and Twitter will be presented for : US Election 2016, Brexit 2016 and Croatian politics. Sentiment analysis, topic extraction, named entity extraction, gender prediction, keyword detection will be presented for all 3 case studies.
Agenda:
- About JupiterOne
- Text analytics used in JupiterOne
- Data Science challenges
- Case study: US Election 2016
- Case study: Brexit 2016
- Case study: Croatian politics
- Conclusion and Q&A
Duration: about 45 min
Powered by: Živko Krstić (https://at.linkedin.com/in/zivkokrstic) is Data Scientist @ Crossing technologies Ltd (http://crossing-technologies.com/) & Organizer of Data Science Croatia (http://crossing-technologies.com/data-science-croatia/). He obtained his master degree in Information management at the University of Split (http://eng.unist.hr/FacultiesandDepartments/tabid/390/Default.aspx) (Croatia). We are glad to enjoy his talk during his short stay in Vienna!
Looking forward to meeting you at the Knowledgefeed!
Stay tuned and visit us also on our homepage:
http://viennadatasciencegroup.at/vdsg-blog/
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