Name: Cassandra by 3 guest speakers
Start: 2016-02-02T18:15:00Z
End: 2016-02-02T21:15:00Z
Location: Realex Payments

Our friends from Realex Payment have very kindly offered to host the first Cassandra meetup of 2016, featuring 3 guest speakers from abroad.

Agenda:

- 6:20pm - 6:50pm: Doors Open (drinks and snacks)
- 6:50pm - 7pm: Developer Hub presentation by Realex Payments
- 7pm - 7:40pm: Tim Berglund: Real-Time Analytics With Spark and Cassandra
- 7:40pm - 8:10pm: Patrick Callaghan: Cassandra/DataStax Enterprise(DSE) - tips, tricks and demos
- 8:10pm - 8:40pm: Daniel Cohen: Resilient Microservices for Finance with DataStax Enterprise & Apache Cassandra Or: how I learned to stop worrying and love Conway's Law.

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Speaker:
Tim Berglund

Bio:
Tim Berglund is a teacher, author, and technology leader with DataStax, where he serves as the Director of Training. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Mac OS X Productivity Tips to Distributed Systems, and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com, and lives in Littleton, CO, USA with the wife of his youth and their youngest child.

Title:
Real-Time Analytics With Spark and Cassandra

Abstract:
Apache Cassandra is a leading open-source distributed database capable of amazing feats of scale, but its data model requires a bit of planning for it to perform well. Of course, the nature of ad-hoc data exploration and analysis requires that we be able to ask questions we hadn’t planned on asking—and get an answer fast. Enter Apache Spark.

Spark is a distributed computation framework optimized to work in-memory, and heavily influenced by concepts from functional programming languages. It’s exactly what a Cassandra cluster needs to deliver real-time, ad-hoc querying of operational data at scale.
In this talk, we’ll explore Spark and see how it works together with Cassandra to deliver a powerful open-source big data analytic solution.

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Speaker:
Patrick Callaghan

Bio:
Patrick Callaghan 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.

https://github.com/PatrickCallaghan
@patcho2005

Title:
Cassandra/DataStax Enterprise(DSE) - tips, tricks and demos

Abstract:
Patrick will show data model and code examples of how to develop applications for Cassandra and DSE. He will describe such uses as Spotify and Uber and describe how to get the best out of your applications.

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Speaker:
Daniel Cohen

Bio:
Daniel Cohen is a Solutions Engineer at DataStax. He has over fifteen years of experience developing software. Prior to joining DataStax, he was a technology manager at JPMorgan in London, where he led teams creating customer-facing trading applications. Daniel has worked with many financial institutions across the United States and Europe, including Morgan Stanley, UBS, and Credit Suisse. Back in his native San Francisco, he worked extensively with digital agencies and media startups. Daniel holds degrees from Stevens Institute of Technology and New York University.

@CodaAzzurra

Title:
Resilient Microservices for Finance with DataStax Enterprise & Apache Cassandra Or: how I learned to stop worrying and love Conway's Law.

Abstract:
Finance presents a special set of high-stakes challenges for software developers. We all want elegant architecture; is that possible when a workflow spans 22 systems owned by 22 different teams throughout the front, middle, and back offices? We all want resiliency; is that possible when a single business process involves a dozen distinct stages across a set of divergent but codependent systems? This talk introduces microservices as part of the solution and explores how to build them resiliently in a financial institution.

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