Flink Forward 2016 Showcases Accelerating Growth Among Apache Flink Production Deployments and Use Cases, Developers and Community Contributions
Event Shares Insights About Real-Time Data Stream Processing Applications From Its Diverse Contributor Community Including Global Enterprises Such as Alibaba, Cisco, Intel and Netflix
Posted on Aug 27th, 2016 by Kostas Tzoumas
BERLIN, GERMANY–(Marketwired – Aug 3, 2016) – Flink Forward, the premier conference for Apache Flink®, today announced a powerful lineup for its second annual event with presentations highlighting real-world Flink deployments from some of the most well recognized brands in the world. Organized by data Artisans and taking place in Berlin from September 12-14, Flink Forward will bring together the open source stream processing community with more than 40 sessions featuring deep dives into Flink’s production use cases, new applications, developer insights, and hands-on trainings.
Flink Forward will feature presentations from Accenture, Alibaba, Amazon Web Services, Bouygues Telecom, Capital One, Cisco, Cloudera, data Artisans, EMC, Google, Hortonworks, Intel, King.com, MapR, mgm tp, MTA ZTAKI, Netflix, New Relic, Otto group, People Pattern, Red Hat, ResearchGate, SAP Hybris, SICS Swedish ICT, TNG Technology Consulting, and Zalando. The event is currently sponsored by data Artisans, Google’s Cloud Platform, Huawei, Intel and MapR.
Topics at Flink Forward range from using Flink and other Apache projects to build scalable streaming infrastructure for IoT and global internet services to in-depth technical talks on the internals of stream processing technologies. Some highlights include:
- Monal Daxini, Senior Software Engineer, Netflix, Inc. — Beaming Flink to the Cloud at Netflix
- Xiaowei Jiang, Director, Alibaba — Blink: Improvements to Flink and its application in Alibaba Search
- Kenneth Knowles, Cloud and Data Engineer, Google — Apache Beam: A Unified Model for Batch and Streaming Data Processing
- Ted Dunning, Chief Application Architect, MapR Technologies — Faster and Furiouser: Flink Drift
- Stephan Ewen, CTO, data Artisans — Scaling stream processing with Flink to very large state
“For 60 years computing has been dominated by batch processing and interactive workloads but now the proliferation of machine-generated data, including the IoT, is driving the growth of stream processing as a third approach,” said George Gilbert, Big Data and Analytics Analyst for Wikibon/theCUBE. “Stream processing works for fast data the way batch processing has worked for big data. Stream processing makes it possible to analyze data as it arrives, turning it into actionable information with minimal latency. Open source products in this category are capturing developers’ attention and Wikibon expects them to continue to gain in popularity as ever more workloads are built with stream processing.”
Apache Flink is a powerful and easy to use open source system for data stream processing with a developer and user community that makes it one of the most active big data projects in the Apache Software Foundation, currently boasting more than 10,000 members in associated meetups, more than 200 contributors and 36 meetups worldwide. Enterprises using Flink include Alibaba, Capital One, Ericsson, Bouygues Telecom, ResearchGate, Zalando, Otto Group, interactive entertainment gaming company King.com and many more.
“Flink was architected to broaden the definition of real-time and streaming analytics,” said Flink co-founder and data Artisans’ CEO Kostas Tzoumas. “It enables full-fledged continuous and even historical data processing on event streams in a scalable, efficient, and fault tolerant manner. It is gratifying to see accelerating growth and acceptance among disparate stakeholders and the wide variety of new applications, products and use cases that are evolving and making it into production deployments.”
Flink’s core is a high performance, low latency dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations over data streams. It integrates easily with other well-known open source systems both for data input and output as well as deployment. Application developers and enterprises can leverage Flink’s advanced and scalable framework to develop a wide variety of innovative analytics products and big data solutions for both continuous stream and historical data processing.
What: Flink Forward 2016, the premier conference on Apache Flink™
Where: KulturBrauerei, Berlin, Germany
When: September 12-14, 2016
To attend Flink Forward click here to register for the conference — http://2016.flink-forward.org/registration/.
Check the Flink Forward website for the latest agenda including new speakers and topics, or to become a sponsor. To view the conference program, click here — 2016.flink-forward.org/schedule.
About Apache Flink
Apache Flink is used by developers to analyze and process data streams of very high volume. By adopting Flink and a data streaming architecture, enterprises can get real-time insights from their data in milliseconds, as well as cover existing historical data processing needs within a single platform. Flink is developed and supported by an Open Source community of more than 200 contributors, of which data Artisans engineers are proud participants.
About data Artisans
data Artisans was founded by the original creators of the Apache Flink project, and continues to lead the development and the direction of Flink — enabling enterprises to transition their data infrastructure to a streaming-based real-time architecture. Backed by Intel Capital, b-to-v Partners, and Tengelmann Ventures, data Artisans is based in Berlin, Germany with an office in San Francisco, Calif. For more information, visithttp://data-artisans.com/.
“Apache”, “Apache Flink”, and their logos are registered trademarks or trademarks of The Apache Software Foundation in the U.S. and/or other countries.