Vienna Data Science Group - Knowledgefeed vol. 16
Details
Happy New Year!
After a small break during the holiday season, we are kick-starting the year 2017 with our 16th. Knowledegfeed.
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 (https://www.meetup.com/Vienna-Data-Science-Group-Meetup/messages/boards/thread/50113851) for further details.
For those you going thirsty over the holiday-season, feed your brain with some knowledge regarding:
Title: Big Data Processing Engines
Description: An overview of Big Data Processing engines with a focus on Apache Spark and Apache Flink. In particular, we address the following questions
• What are big data processing paradigms and how do Spark 1.x/Spark 2.x and Apache Flink solve them?
• When to use batch and when stream processing?
• What is a Lambda-Architecture and a Kappa Architecture?
• What are the best practices for your project?
Showcases target different areas and links will be provided along the way. By the end of the talk you will have a basic understanding of what can be done with Big Data Processing Engines and know how to get started.
Duration: about 45 min
Powered by: Stefan Papp (https://at.linkedin.com/in/stefanpapp), Data Architect who is working for "The unbelievable Machine Company (https://www.unbelievable-machine.com/en/)". Stefan is also a certified Hadoop trainer and lecturer at the FH Technikum (https://www.technikum-wien.at/studium/?gclid=CJLOh4WJx9ECFcMW0wodzfACuQ). He studied Software Engineering at University of Applied Sciences in Hagenberg (https://www.fh-ooe.at/en/hagenberg-campus/).
Looking forward to see you at the Knowledgefeed!
Stay tuned and visit us also on our homepage;
http://viennadatasciencegroup.at/vdsg-blog/
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Vienna Data Science Group - Knowledgefeed vol. 16