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January 20, 2016
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Community Choice Winner Blog: Overview of Apache Flink – The 4G of Big Data Analytics Frameworks

Overview of Apache Flink: the 4G of Big Data Analytics Frameworks
Author: Slim Baltagi, Director of Big Data engineering, Capital One

I want to thank those of you who voted for my proposal and I look forward to meeting many of you in Dublin. I’ll be around for the conference and would gladly welcome any follow on conversations.

About me

I am currently a Director of Big Data engineering at Capital One. Capital One is a leading consumer and commercial banking institution conducting business in the US, Canada and the U.K.

I have over 18 years of IT and business experience and I spent the last 5 years of my life Hadooping and more recently Sparking and Flinking! I enjoy evangelizing Big Data technologies by speaking at Big Data events and maintaining a blog and a Knowledge Base on many Apache projects: Hadoop, Spark, Flink… With some fellow squirrels, I also run Apache Flink Meetups in New York City, Chicago, Washington DC, Dallas/Fort Worth, Boston and Paris.

My session is an introductory level talk about Apache Flink: a multi-purpose Big Data analytics framework leading a movement towards the unification of batch and stream processing or stream processing-first in the open source. With the many technical innovations Apache Flink brings along with its unique vision and philosophy, it is considered the 4 G (4th Generation) of Big Data Analytics frameworks providing the only hybrid (Real-Time Streaming + Batch) open source distributed data processing engine supporting many use cases: Real-Time streaming, batch, machine learning and graph processing.

After attending my talk, you will know more about:

  1. What is Apache Flink stack? Its streaming dataflow execution engine, APIs and domain-specific libraries for batch, streaming, machine learning and graph processing.

  2. How Apache Flink integrates with Hadoop and other open source tools for data input and output as well as deployment?

  3. Why Apache Flink is an alternative to Apache Hadoop MapReduce, Apache Storm and Apache Spark?

  4. How Apache Flink is used at Capital One and who else adopted Apache Flink?

  5. Where to learn more about Apache Flink?
    To get a preview of my session at the 2016 Hadoop Summit in Dublin, I would like to suggest a couple related talks that I gave in 2015:

2015 Big Data Scala By the Bay, San Francisco, US: Why Apache Flink is the 4G of Big Data Analytics Frameworks? 

2015 Flink Forward, Berlin, Germany: Flink and Spark Similarities and Differences 

I would like also to suggest slide decks of a few talks, which I gave about Apache Flink, at http://www.slideshare.net/sbaltagi.

My talk is an introductory talk open to technical and non-technical people alike. I look forward to meeting you at the Hadoop Summit that will take place in Dublin, Ireland in April 13-14, 2016.

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