Patrick McFadin & DuyHai Doan - SMACK & Achilles

Du à un taux important d'absentéisme, nous ne mettons plus de limite aux meetups. Par contre les premiers arrivés seront les premiers servis. Nous fermerons l'accueil dès que la capacité de la salle est atteinte. Ce système permet d'avantager ceux qui se déplacent réellement.

Agenda:

6:30-7:00pm : Reception (pizza and drinks)
7:00-7:45pm: DuyHai Doan - Achilles, the art of object mapping
7:45-8:30pm: Patrick McFadin - Laying down the SMACK on your data pipelines

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Speaker:
DuyHai Doan

Bio:
DuyHai Doan is an Apache Cassandra Evangelist at DataStax. He spends his time between technical presentations/meetups on Cassandra, coding on open source projects to support the community and helping all companies using Cassandra to make their project successful. Previously he was working as a freelance Java/Cassandra consultant.

Title:
Achilles, the art of object mapping

Abstract:
Object mapping is a common requirement for large projects to make the code base more streamlined and maintainable.

During this talk, we'll see how the new Achilles 4.x can address those concepts, help you to become more productive and avoid common mistakes.

Achilles generated DSL code is straightforward enough that a Cassandra novice can hardly make syntax mistake with CQL.

Expert users are will also have a treat with the comprehensive codec system and debugging tools

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Speaker:
Patrick McFadin
Lead Evangelist, DataStax

Bio:
Patrick McFadin is one of the leading experts of Apache Cassandra and data modeling techniques. As the Chief Evangelist for Apache Cassandra and consultant for DataStax, he has helped build some of the largest and exciting deployments in production. Previous to DataStax, he was Chief Architect at Hobsons, an education services company. There, he spoke often on Web Application design and performance.

Title:
Laying down the SMACK on your data pipelines

Abstract:
You’ve heard all of the hype, but how can SMACK work for you? In this all-star lineup, you will learn how to create a reactive, scaling, resilient and performant data processing powerhouse. We will go through the basics of Akka, Kafka and Mesos and then deep dive into putting them together in an end2end (and back again) distrubuted transaction. Distributed transactions mean producers waiting for one or more of consumers to respond. On the backend, you will see how Apache Cassandra and Spark can be combined to add the incredibly scaling storage and data analysis needed for fast data pipelines. With these technologies as a foundation, you have the assurance that scale is never a problem and uptime is default.

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