Talks on IoT use cases for the open source NoSQL database Apache Cassandra (http://cassandra.apache.org/) and the ecosystem around it. This event will be organized in cooperation with Frankfurt Cassandra Users (http://www.meetup.com/de/Frankfurt-Cassandra-Users/) (by DataStax). Our meetup will take place after the DataStax Cassandra Essentials Day for Financial Services (https://www.eventbrite.co.uk/e/datastax-cassandra-essentials-day-for-financial-services-frankfurt-germany-tickets-18912523868?aff=codecentric) (same location).
Patrick Callaghan: Cassandra/DataStax Enterprise(DSE) - Tips, Tricks and Demos
Choosing Cassandra/DSE for a project is a excellent starting point to enable high availability, scale and performance. But what else is there to know? Patrick will talk about some of his experiences with clients around the world and share his tips and tricks he has learned along the way.
Patrick is an experienced developer/architect and has been working in the finance in London for the last 14 years. He has worked with a long list of investment banks such as RBS, UBS and Commerzbank. Patrick now works as a Solutions Architect/SWAT guy for DataStax in London helping financial companies to develop mission critical systems using Apache Cassandra and DataStax Enterprise.
Matthias Niehoff: Using Spark & Cassandra for IoT (Short talk)
Spark and Cassandra are a great combination to handle, store, and analyze huge amounts of time series data. Spark Streaming offers APIs for various streaming sources like Kafka, Kinesis and also MQTT. In this talk I will briefly describe how Spark, Spark Streaming and Cassandra are integrated with each other and point out some use cases in the IoT context.
Matthias Niehoff works as an IT-Consultant for codecentric AG in Karlsruhe. He is engaged in Cassandra and the enterprise version by Datastax. Matthias is attentive on analytics frameworks like Spark. Furthermore he is interested in Continuous Delivery and the Spring Framework.
Alexandra Klimova, Dominique Rondé: Kafka, Flink, Cassandra – Real Time Analytics with IoT or just a Buzzword Parade? (Short talk)
Apache Flink is an open source platform for distributed stream and batch data processing. In January 2015 it left the incubator and is now a top level project of the Apache Foundation. Time to take a closer look to this framework. In our talk we show you how to stream your IoT data with Kafka, analyse it with Flink and store it into a Cassandra in a fully distributed, resilient, and scalable way.
Alexandra has 10 years of experience in both programing and operations. For the last 4 years she has focused on design and integration of Big Data Systems into enterprise platforms. She is working on data processing pipelines, distributed systems, realtime processing and data science. Alexandra holds a degree in Computer Science from the Technical University Munich. She is certified Hortonworks Hadoop Trainer and Senior IT Consultant at codecentric.
Dominique Rondé is Senior IT Consultant at codecentric and focused on big data technologies. He also enjoys the part of data analytics. As a real java nerd since 2002 Dominique is familiar with the programming part, too. He enables the clients to work with Hortonworks Hadoop, Datastax Cassandra and Spark.