Apache Flink 1.0.0, MapR Streams and Recent Benchmarks

Important: Please use Eventbrite to register: https://www.eventbrite.com/e/bay-area-apache-flink-meetup-tickets-24245938254

Tentative schedule and topics:

6pm-6:30pm - Door open and socialize

6:30pm-8pm - Talks

Abstracts

MapR Streams for Global Real-time Applications

With the growth of SaaS and IoT, more and more applications have to collect, process, and distribute data on a global scale. Existing messaging systems either lack the throughput these modern applications require, or lack the ability to reliably coordinate between multiple geographically distributed locations.

Will Ochandarena from MapR Technologies will introduce and give a quick overview of MapR Streams, a global pub-sub streaming system for big data that works seamlessly with Apache Flink, and discuss how together these technologies can be used to build global data architectures.

Benchmarking with MapR Streams and Apache Flink

Jamie Grier from data Artisans will present results of some recent benchmarking completed with MapR Streams and Apache Flink on a high performance MapR cluster.

Apache Flink 1.0.0 Overview
Kostas Tzoumas from data Artisans will join us to present some of the new features in Apache Flink 1.0.0.

Bios

Will Ochandarena is Director of Product Management at MapR, responsible for user experience and cloud. Prior to MapR, Will spent some time in the SeaMicro group at AMD, responsible for networking and cloud strategy, and before that was a product manager for the Nexus family of data center switches at Cisco. Will has an engineering degree from Rensselaer Polytechnic Institute, and and MBA from Santa Clara University.

Kostas Tzoumas is a PMC and committer at Apache Flink, and co-founder and CEO of data Artisans. Before founding data Artisans, Kostas was a postdoctoral researcher at TU Berlin and received a PhD in Computer Science from Aalborg University

Jamie Grier is Director of Applications Engineering at data Artisans. Before joining data Artisans he was working on streaming analytics at Twitter and has been involved in various kinds of stream processing for about a decade.