Invitation for the September-Meetup on 22.09.2016 in KarlsruheInvitation for the September-Meetup on 22.09.2016 in Karlsruhe https://www.widas.in/wp-content/themes/corpus/images/empty/thumbnail.jpg 150 150 manu.mukundan manu.mukundan https://secure.gravatar.com/avatar/c332174d6f39134704a6d0e9b94482a7?s=96&d=mm&r=g
We start the final round of the Big Data User Group well relaxed and full of energy! Our last meeting in Karlsruhe for this year will be held on 22nd Septemeber 2016. We cordially invite you to join us in what’s going to be an interesting and informative Big Data evening. At 18:30 hrs in FSSV Waldgaststätte (Adenauerring 36, Karlsruhe). The following topics will be served:
Apache Kafka 101 (Florian Troßbach, codecentric AG)
Apache Kafka is a distributed Message Broker, which operates according to the publish-subscribe principle. Due to its special architecture, a Kafka cluster can achieve immense throughput with very low latency – and on top of that, scale horizontally with great ease. Florian Troßbach explains the basic principles of the architecture and demonstrates how clients can integrate with Kafka.
About the speaker:
Florian Troßbach is an IT consultant, Codecentric AG. His expertise lies in the classical Java-Enterprise development. The “Fast Data” and SMACK Stack topics are also lately his focus areas.
Data management for Stream Processing – and all the rest (Dr. Harald Weber-Gottschick, 1&1 Internet AG)
On the one hand, there are promises: The promise of Big Data is based on analytics of a broad variety of data gathered from many different sources. The promise of many different data analytics tool vendors to do specialized analytics for many different use-cases (requiring specialized aggregation of those data.) A specialized class of applications even promises to base automated decisions on near real-time analytics, e.g. in the security domain.
On the other hand, there is the reality: Grown data management architectures often implement many different solutions for the Analytics Value Chain depending on different technologies very much driven by the demand which existed at the introduction of a new data analytics tooling. Every functional domain implemented their own solution resulting in data silos. Data Management is based on file transfers, e.g. of log files, resulting in long lead times until a decision can be made.
The talk presents a sketch for a consistent architecture to allow the promises to come true by altering reality. It also discusses some learnings from introducing the first building blocks.
About the speaker:
Dr. Harald Weber-Gottschick is Business Architect for the Mail & Media subsidiary of 1&1. As such he is responsible for the overall logical architecture of such brands as WEB.DE, GMX and mail.com. Besides other responsibilities he is concerned with an uplift of the data management systems towards modern Big Data and Stream Processing approaches.