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data Artisans Announces Flink Public Training Schedule for Q4 2018

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First series of public training now available in Europe and the United States to meet growing demand for Apache Flink skills as enterprise adoption of stream processing soars

BERLIN and SAN FRANCISCO — October 22, 2018 — data Artisans, founded by the original creators of Apache Flink®, today announced the first series of public training in multiple locations for developers, software architects and data engineers interested in learning how to use Apache Flink or to elevate their existing skill set. The schedule includes training options throughout Q4 2018 in Berlin, London, Munich, New York, San Francisco, and San Jose. To learn more about the public training, please visit https://data-artisans.com/training or register for one of our training courses near you here.

Of all the big data frameworks in use today, the Apache Flink® community is one of the fastest growing open source communities globally. According to the recent Qubole 2018 Big Data Trends and Challenges report Apache Flink’s adoption shows an impressive 125% YoY increase amongst other big data software frameworks.

While data Artisans offers extensive and in-depth Apache Flink training during Flink Forward conferences, the increased demand for Flink development skills makes additional public training a necessity in order to maintain the high standards of Flink development capabilities within the community.



Public Apache Flink Training Schedule Q4 2018

The full-day Standard Training provides a deep and up-to-date practical curriculum for developers starting their Apache Flink journey as well as experienced Flink users that are already exploring developments with Apache Flink. This course emphasizes those features of Flink that make it easy to build and manage accurate, fault-tolerant applications on streams.

Participants will learn: 

  1. How to develop and execute Flink applications
  2. When the local state is needed, and how to use and manage it
  3. How to work with both event time and processing time
  4. How to use Flink’s flexible windowing abstractions
  5. How to build accurate, robust, event-driven applications with Flink
  6. How to use savepoints to manage deployments and upgrades

San Francisco

November 6                 

9:00 a.m. – 5:00 p.m. PST 

London

November 13 

9:00 a.m. – 5:00 p.m. GMT      

New York

November 15 

9:00 a.m. – 5:00 p.m. EST

Berlin

November 29     

9:00 a.m. – 5:00 p.m. CET

San Jose, Calif.             

December 4

9:00 a.m. – 5:00 p.m. PST

Munich

December 5

9:00 a.m. – 5:00 p.m. CET


To learn more about the public training and register please visit: https://data-artisans.com/training

About data Artisans

data Artisans was founded by the creators of open source Apache Flink® to bring real-time data applications to the enterprise. data Artisans Platform provides turnkey stream processing to businesses, enabling them to manage and deploy live data applications so they can react to data instantaneously and make better and faster business decisions. Global companies such as Alibaba, ING, Netflix, and Uber use Flink as the stream processing engine to power large-scale stateful applications, including real-time analytics, machine learning, search and content ranking, and fraud detection.

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, visit https://data-artisans.com.


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 act on insights from data in a matter of milliseconds, as well as cover existing historical data processing needs within a single platform. Flink is developed and supported by the vibrant and growing Apache Software Foundation open source community with more than 420 contributors to Flink, of which data Artisans engineers are proud participants.


“Apache”, “Apache Flink”, and their logos are registered trademarks or trademarks of The Apache Software Foundation in the U.S. and/or other countries.

 Media Contact:

Jill Reed, Sift Communications, Jill.Reed@siftpr.com

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