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Posted to users@kafka.apache.org by Guozhang Wang <wa...@gmail.com> on 2016/03/29 18:00:16 UTC
Apache Kafka Meetup today, at San Jose Convention Center
Hello Apache Kafka folks,
We invite you to join us for the March Apache Kafka Meetup today (Tuesday,
March 29) at San Jose Convention Center, starting at 6pm:
http://www.meetup.com/http-kafka-apache-org/events/229424437/
We have two great talks today:
------
Title: Introduction to Kafka Streams Abstract (by Guozhang Wang,
Confluent):
In the past few years Apache Kafka has emerged itself as the world's most
popular real-time data streaming platform backbone. In this talk, we
introduce Kafka Streams, the latest addition to the Apache Kafka project,
which is a new stream processing library natively integrated with Kafka.
Kafka Streams has a very low barrier to entry, easy operationalization, and
a natural DSL for writing stream processing applications. As such it is the
most convenient yet scalable option to analyze, transform, or otherwise
process data that is backed by Kafka. We will provide the audience with an
overview of Kafka Streams including its design and API, typical use cases,
code examples, and an outlook of its upcoming roadmap. We will also compare
Kafka Streams' light-weight library approach with heavier, framework-based
tools such as Spark Streaming or Storm, which require you to understand and
operate a whole different infrastructure for processing real-time data in
Kafka.
------
Title: Streaming Analytics at 300 billion events/day with Kafka, Samza, and
Druid (by Xavier Léauté, Metamarkets)
Abstract: Wonder what it takes to scale Kafka, Samza, and Druid to handle
complex analytics workloads at petabyte size? We will share a high level
overview of the Metamarkets realtime stack, the lessons learned scaling our
real-time processing to over 3 million events per second, and how we
leverage extensive metric collection to handle heterogeneous processing
workloads, while keeping down operational complexity and cost. Built
entirely on open source, our stack performs streaming joins using Kafka and
Samza, feeding into Druid to serve 1 million interactive queries per day.
------
Thanks,
-- Guozhang
Re: Apache Kafka Meetup today, at San Jose Convention Center
Posted by Guozhang Wang <wa...@gmail.com>.
Unfortunately it will not be recorded this time, but we will try to upload
the slides after the session.
And for those who can make it, you are NOT required a Strata pass to attend!
Guozhang
On Tue, Mar 29, 2016 at 9:04 AM, Marina <pp...@yahoo.com.invalid> wrote:
> Sounds like a great Meetup! Unfortunately, not all of us are lucky enough
> to be in CA :) - any chance this Meetup will be recorded?
> thanks!
>
> From: Guozhang Wang <wa...@gmail.com>
> To: "dev@kafka.apache.org" <de...@kafka.apache.org>; "
> users@kafka.apache.org" <us...@kafka.apache.org>
> Sent: Tuesday, March 29, 2016 12:00 PM
> Subject: Apache Kafka Meetup today, at San Jose Convention Center
>
> Hello Apache Kafka folks,
>
> We invite you to join us for the March Apache Kafka Meetup today (Tuesday,
> March 29) at San Jose Convention Center, starting at 6pm:
>
> http://www.meetup.com/http-kafka-apache-org/events/229424437/
>
> We have two great talks today:
>
> ------
>
> Title: Introduction to Kafka Streams Abstract (by Guozhang Wang,
> Confluent):
>
> In the past few years Apache Kafka has emerged itself as the world's most
> popular real-time data streaming platform backbone. In this talk, we
> introduce Kafka Streams, the latest addition to the Apache Kafka project,
> which is a new stream processing library natively integrated with Kafka.
>
> Kafka Streams has a very low barrier to entry, easy operationalization, and
> a natural DSL for writing stream processing applications. As such it is the
> most convenient yet scalable option to analyze, transform, or otherwise
> process data that is backed by Kafka. We will provide the audience with an
> overview of Kafka Streams including its design and API, typical use cases,
> code examples, and an outlook of its upcoming roadmap. We will also compare
> Kafka Streams' light-weight library approach with heavier, framework-based
> tools such as Spark Streaming or Storm, which require you to understand and
> operate a whole different infrastructure for processing real-time data in
> Kafka.
>
> ------
>
> Title: Streaming Analytics at 300 billion events/day with Kafka, Samza, and
> Druid (by Xavier Léauté, Metamarkets)
>
> Abstract: Wonder what it takes to scale Kafka, Samza, and Druid to handle
> complex analytics workloads at petabyte size? We will share a high level
> overview of the Metamarkets realtime stack, the lessons learned scaling our
> real-time processing to over 3 million events per second, and how we
> leverage extensive metric collection to handle heterogeneous processing
> workloads, while keeping down operational complexity and cost. Built
> entirely on open source, our stack performs streaming joins using Kafka and
> Samza, feeding into Druid to serve 1 million interactive queries per day.
>
> ------
>
> Thanks,
>
> -- Guozhang
>
>
>
--
-- Guozhang
Re: Apache Kafka Meetup today, at San Jose Convention Center
Posted by Marina <pp...@yahoo.com.INVALID>.
Sounds like a great Meetup! Unfortunately, not all of us are lucky enough to be in CA :) - any chance this Meetup will be recorded?
thanks!
From: Guozhang Wang <wa...@gmail.com>
To: "dev@kafka.apache.org" <de...@kafka.apache.org>; "users@kafka.apache.org" <us...@kafka.apache.org>
Sent: Tuesday, March 29, 2016 12:00 PM
Subject: Apache Kafka Meetup today, at San Jose Convention Center
Hello Apache Kafka folks,
We invite you to join us for the March Apache Kafka Meetup today (Tuesday,
March 29) at San Jose Convention Center, starting at 6pm:
http://www.meetup.com/http-kafka-apache-org/events/229424437/
We have two great talks today:
------
Title: Introduction to Kafka Streams Abstract (by Guozhang Wang,
Confluent):
In the past few years Apache Kafka has emerged itself as the world's most
popular real-time data streaming platform backbone. In this talk, we
introduce Kafka Streams, the latest addition to the Apache Kafka project,
which is a new stream processing library natively integrated with Kafka.
Kafka Streams has a very low barrier to entry, easy operationalization, and
a natural DSL for writing stream processing applications. As such it is the
most convenient yet scalable option to analyze, transform, or otherwise
process data that is backed by Kafka. We will provide the audience with an
overview of Kafka Streams including its design and API, typical use cases,
code examples, and an outlook of its upcoming roadmap. We will also compare
Kafka Streams' light-weight library approach with heavier, framework-based
tools such as Spark Streaming or Storm, which require you to understand and
operate a whole different infrastructure for processing real-time data in
Kafka.
------
Title: Streaming Analytics at 300 billion events/day with Kafka, Samza, and
Druid (by Xavier Léauté, Metamarkets)
Abstract: Wonder what it takes to scale Kafka, Samza, and Druid to handle
complex analytics workloads at petabyte size? We will share a high level
overview of the Metamarkets realtime stack, the lessons learned scaling our
real-time processing to over 3 million events per second, and how we
leverage extensive metric collection to handle heterogeneous processing
workloads, while keeping down operational complexity and cost. Built
entirely on open source, our stack performs streaming joins using Kafka and
Samza, feeding into Druid to serve 1 million interactive queries per day.
------
Thanks,
-- Guozhang