SkillsCast

Apache Flink February Meetup!

22nd February 2017 in London at CodeNode

There are 1 other SkillsCast available from Apache Flink February Meetup!

Are you just getting started with Flink? Join in with this tutorial to have a chance to get their hands on implementing basic Flink processing routines applied on streaming data!

This time, we will be giving attendees a chance to get their hands on implementing basic Flink processing routines applied on streaming data through a 2-hour long tutorial. It is the perfect opportunity, especially for new members to develop a basic understanding of Flink’s architecture and API (Scala), and apply that understanding for developing and running an example pipeline.

The tutorial will be split in two parts. Part one will introduce the basic Flink concepts and general streaming concepts employed in the Flink architecture. Part two will be more focused on the Scala API as attendees will be guided through an interactive tutorial, occasionally being asked to fill in small snippets of code in order to complete a working Flink implementation, covering concepts like windowing; process and event time etc.

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Thanks to our sponsors

SkillsCast

Are you just getting started with Flink? Join in with this tutorial to have a chance to get their hands on implementing basic Flink processing routines applied on streaming data!

This time, we will be giving attendees a chance to get their hands on implementing basic Flink processing routines applied on streaming data through a 2-hour long tutorial. It is the perfect opportunity, especially for new members to develop a basic understanding of Flink’s architecture and API (Scala), and apply that understanding for developing and running an example pipeline.

The tutorial will be split in two parts. Part one will introduce the basic Flink concepts and general streaming concepts employed in the Flink architecture. Part two will be more focused on the Scala API as attendees will be guided through an interactive tutorial, occasionally being asked to fill in small snippets of code in order to complete a working Flink implementation, covering concepts like windowing; process and event time etc.

YOU MAY ALSO LIKE:

Thanks to our sponsors