8. Hadoop User Group Meetup @ T-Mobile Austria

Hi all,

the summer break is almost over. Hopefully, you could escape the heat wave to stay somewhere cold.

I am glad to announce the 8th Meetup of the Hadoop User Group Vienna.

This time the focus point will be Apache Kafka, since it is a joint Meetup with the newly created Vienna Kafka Meetup (https://www.meetup.com/Vienna-Kafka-meetup/).

-----------------------------------------

There will be two talks this time:

• Disaster Recovery in the Hadoop Ecosystem: Preparing for the Improbable (Stefan, Hortonworks)

• Highly Scalable Machine Learning and Deep Learning in Real Time with Apache Kafka’s Streams API (Kai, Confluent)

-----------------------------------------

Once again, our host will be T-Mobile Austria, who will also provide snacks and beverages.

Enjoy the rest of the summer, looking forward to this session!

-----------------------------------------

Speaker Infos:

-----------------------------------------

Stefan Kupstaitis-Dunkler is a Senior Consultant at Hortonworks. He is concerned about Open Source, Big Data and Open Data topics and questions that can be answered using tools in the Hadoop Ecosystem. He organizes the Hadoop User Group Vienna bringing together Big Data enthusiasts, and occasionally, writes down some of his thoughts in his blog ( https://blog.datahovel.com ). @StefanDunkler (https://twitter.com/StefanDunkler)

-----------------------------------------

Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning, Messaging, Integration, Microservices, Internet of Things, Stream Processing and Blockchain. He is regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog ( http://www.kai-waehner.de/blog) . Contact and references: kontakt@kai-waehner.de / @KaiWaehner / www.kai-waehner.de (http://www.kai-waehner.de/)

-----------------------------------------