Cassandra meets Kafka at ApacheCon! (PLUS a certification giveaway!)

We are ready to meet at ApacheCon!! (The registration desk will be left open for us - you are free to attend the meetup even if you are not an ApacheCon attendee)

We are bringing the worlds of Cassandra and Kafka together for this meetup and have 2 great talks from 2 awesome speakers!

** There is going to be a Cassandra Certification giveaway (normally worth over 300 Euros)

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When: Wednesday 23 October @ 6:15pm
Where: Maschinenhaus Berlin (ApacheCon)

✅Agenda

6:15pm-6.30pm - Registration and drinks
6:30pm-7:00pm - Aleks Volochnev, DataStax
7:00-7:30pm - Mirko Kämpf, Confluent
7:30pm-8:15pm - Discussion and networking

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🗣️ Talk 1: Cassandra 4.0 - Aleks Volochnev, DataStax

"A new major version of the distributed database Apache Cassandra brings a lot of new features. We will talk about all the main improvements like Virtual Tables, Transient Replication, Audit and Full-Query Logging. Want to know why Netflix Cloud Architects already plan to upgrade to the new release? Let’s run a live demo for the Zero Copy Streaming and you’ll see!"

After many years in software development as a Developer, Technical Lead, DevOps Engineer and Architect, Aleks focused himself on distributed applications and cloud architecture. Working as a Developer Advocate at DataStax, he shares his knowledge and expertise in the field of microservices, disaster tolerant systems and hybrid platforms.

Twitter : @HadesArchitect

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🗣️Talk 2: Kafka meets Cassandra: Architectural Patterns & Integration Points - Mirko Kämpf, Confluent

"Decision support systems are needed in any kind of business. They combine the results of intense research and modern IT technology. Such systems are one important aspect of the digital transformation and require the integration of data from multiple domains, using various technologies. This ranges from data capturing over automatic data enrichment to autonomous control systems.

The Big-Data hype and the Cloud movement have shown impressive impact already, but we have to go further: Event Driven Architecture (EDA) should become a commodity, so that data engineering and data science can be integrated easier and more efficiently.

Besides large scale batch processing and efficient micro-batching we have to go on towards scalable stream processing in which analysis and ML components can be plugged in. This approach reduces that type of latency which isn’t caused by slow networks but by badly designed processes and old fashioned software solutions.

In this talk I describe a cloud native architecture for advanced time series analysis and graph analysis using Apache Kafka and Apache Cassandra. I will show typical integration points for both technologies and some generic building blocks for simple but robust streaming solutions, applicable to industry and research in many domains."

Mirko Kämpf is a Solutions Architect at Confluent. Previously he worked as a solutions architect for Cloudera, and as a technical trainer at Cloudera University, where he gained vast experience on the Hadoop and Spark ecosystem, as well as in cloud-based data management with modern architectures to support the data driven businesses.

Most recently, Mirko has dedicated his time to improving a methodology to generate time series episodes and correlation graphs from event-streams. This work is related to the emerging data economy which has to adopt its data consumption patterns to highly dynamic data providers which allow access to more and more sources in a meaningful way.

Mirko has authored several technology related blogs about his time series and graph processing at scale at the Cloudera engineering blog. He has given talks at GraphConnect London, Strata London and Strata New York in the last two years.

Twitter: @semanpix
LinkedIn: www.linkedin.com/in/kamir

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