From September 26-29, 2016 the big data community meet at Strata + Hadoop World in NYC. This year data Artisans will take part in several ways at the conference. For the first time we will have a booth at the conference (#P2), and will be demonstrating Apache Flink® our brand new dA Platform. Stop by to connect with Apache Flink experts and learn more about implementing enterprise-grade streaming data applications in production.
But there will be even more activities by data Artisans such as conference talks, book signings, demos and off-site events – you don’t want to miss out!
BOOTH
Tuesday, September 27, 2016 5:00pm to 6:30pm Opening Reception
Wednesday, September 28, 2016 10:30am to 7:05pm | 6:05pm-7:05pm Booth Crawl
Thursday, September 29, 2016 10:30am to 4:35pm
Meet Kostas Tzoumas, data Artisans’ CEO, Jamie Grier, Director of Applications Engineering, and Mike Winters, Product Manager at booth #P2 to learn more about Apache Flink, the dA platform and collect your free Flink books and T-shirts.
OFFSITE EVENT
Tuesday, September 27, 2016 – 5:45pm-9pm | Location: AXA Equitable Center
Data Driven NYC #49 takes place at AXA Equitable Center and invites tech enthusiasts to join an evening with leading experts in the field of Big Data, AI and data science. Kostas Tzoumas will be among the speakers talking about Apache Flink and the new dA Platform.
BOOK SIGNING
Wednesday, September 28, 2016 – 3:35pm | Location: Javits Center (conference venue), MapR booth (#519)
A book signing will be held in the MapR booth (#519) with Kostas Tzoumas and Ellen Friedman. This is a great opportunity for you to meet the authors of “Introduction to Apache Flink” and to get a free signed copy of their book.
DEMO AT EXPO HALL
Wednesday, September 28, 2016 – 1:30pm & Thursday, September 29, 2016 – 1:30pm | Location: Javits Center (conference venue), MapR booth (#519)
data Artisans’s Director of Applications Engineering Jamie Grier will present a demo on “Robust Stream Processing with Apache Flink”
In this demonstration Jamie Grier dives into writing code and demonstrating the features in Apache Flink that make truly robust stream processing possible. The focus will be on correctness and robustness in stream processing. During this live demo Jamie develops a realtime analytics application and modifys it on the fly. He exercises Flink’s unique features, demonstrate fault-recovery, clearly explain and demonstrates why Event Time is such an important concept in robust stateful stream processing and talks about and demonstrates the features you need in a stream processor in production.
Thursday, September 29, 2016 – 2:05pm-2:45pm | Location: 3D 08
data Artisans’ CEO Kostas Tzoumas will present the session “Implementing streaming architecture with Apache Flink: Present and future”.
Apache Flink has seen incredible growth during the last year, both in development and usage, driven, to a large extent, by the fundamental shift in the enterprise from batch to stream processing. A streaming-first architecture enables continuous processing on data that is continuously produced (as it is in most interesting datasets), enabling real-time decisions but also a simplified architecture that can subsume batch processing. Kostas Tzoumas dives into the benefits of using Flink as the central piece of such architecture. In addition, Kostas covers the latest developments in the project and the future roadmap, such as the ability to query the state in the stream processor, new libraries (e.g., SQL and CEP), dynamic scaling, seamless application and Flink updates, and integration between batch and streaming, which leads to radically simplified architecture and deployment. Kostas concludes with a sample of what production users of Flink are currently achieving with the system.
Get in touch with our team
Reach out to us before or after the show at info@data-artisans.com to schedule meetings or ask any follow up questions you may have. We hope to see you at the conference! Follow us on Twitter @dataArtisans for on-the-fly updates and giveaways during Strata + Hadoop World, and follow us on the hashtag #dataArtisans.