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Flink Forward 2017: April 10-11 (San Francisco)


Flink Forward 2017

Watch theCUBE’s Coverage of: Apache Spark Maker Community Event


 

“You’re interested in the latest and greatest on Apache Flink® and are keen to make an impact behind the scenes at this exciting conference? Then join us at the first Flink Forward in San Francisco and become a volunteer. It’s a unique opportunity to participate in the premier conference on Apache Flink®. Volunteers will be responsible for various conference duties such as accreditation and stage management.” (sf.flink-forward.org/)


REGISTER HERE

 

Event Details:

  • Date:
        April 10-11, 2017
  • Location:
         Hotel Kabuki
         1625 Post St,
         San Francisco, CA
  • Official Event Page

Guests Interviewed on theCUBE:

Stephan Ewen
CTO, data Artisans

Apache Flink: Simplifying streaming data for the enterprise
Apache has been leading the way for many big data trends, with data processing tools Apache Hadoop and Spark having helped the enterprise turn data into capital. As connected devices and machine learning are becoming more pervasive, the key to success is real-time data streaming from bound or unbound sources. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Jamie Grier
Director of Applications Engineering, data Artisans

How Apache Flink enables new types of applications and microservices
Understanding Apache Flink, an open-source stream processing framework, requires a fresh take on data processing. Flink goes beyond the capabilities of the last generation of stream processors by enabling new types of applications and microservices, said Jamie Grier (pictured), director of applications engineering at data Artisans GmbH. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Sean Hester
Software Architect, BetterCloud

Building a better model for SaaS applications: Why one company choose Flink
The debate surrounding the capabilities of Apache Spark or Apache Flink, open-source systems for data stream and big data processing, and when to use them, continues to rage. During the Flink Forward conference, held last week in San Francisco, California, one company shared why it chose Flink for its Software as a Service application solution. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Xiaowei Jiang
Director, Alibaba

The cognitive tech behind Alibaba’s real-time search: Flink in e-commerce
As the world’s largest retailer, Alibaba Group Holding Ltd. has countless moving parts to consider when servicing customers, and machine learning is helping the e-commerce company do business in real time. Speedy payment processing, intelligent fraud detection and real-time search are all enhanced with cognitive technologies at Alibaba, in large part thanks to open-source platforms. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Tom Kaitchuck
Senior Consulting Engineer, Dell EMC

Dell EMC takes on streaming storage with open-source solution, Pravega
No one likes waiting those long milliseconds for their data to thaw out of an archival storage system. Then again, no one likes paying high-performance prices for long-term storage either. One solution is a streaming storage system that combines low latency with High Throughput File System storage, according to Tom Kaitchuck, senior consultant software engineer at Dell EMC. Read the full blog post with highlights from his interview at SiliconANGLE.com.


Kenneth Knowles
Software Engineer, Google

Unifying the data processing pipeline with Apache Beam
Setting up a data processing pipeline is a juggling act. What applications work with the backend? Can those applications work together? What about fitting it into existing infrastructure? Read the full blog post with highlights from his interview at SiliconANGLE.com.


Chinmay Soman
Staff Software Engineer, Uber

How Uber cruised Apache data frameworks and arrived at Flink
It’s hard to overstate how heavily ride-sharing apps rely on fresh data streams to do business. So what makes a streaming data framework good enough for Uber? Read the full blog post with highlights from his interview at SiliconANGLE.com.


Dean Wampler
VP Fast Data Engineering, Lightbend

How Uber cruised Apache data frameworks and arrived at Flink
It’s hard to overstate how heavily ride-sharing apps rely on fresh data streams to do business. So what makes a streaming data framework good enough for Uber? Read the full blog post with highlights from his interview at SiliconANGLE.com.


David Hardwick
CTO, BetterCloud



Watch More of theCUBE

DataWorks Summit Europe 2017

Open Networking Summit 2017

For More Information : Contact theCUBE

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