schedule Sep 18th 02:00 PM - 02:30 PM place Grand Lodge people 83 Attending

This presentation explains the concept of Kappa and Lambda architectures and showcases how useful business knowledge can be extracted from the constantly flowing river of data.

It also demonstrates how a simple POC could be built in a day with only getting your toes wet by leveraging Docker and other technologies like Kafka, Spark and Cassandra.

 
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Outline/structure of the Session

After a brief introduction to Kappa/Lambda a live demo will be performed. It will include a short explanation of each component involved (Web Service, Kafka, Spark Streaming and Cassandra) and their setup (using Docker-Compose). Additionally, it will highlight the data flow using as an example a modified version of Kaggle Expedia data set. Finally, it will discuss the pros and cons for several business scenarios.

Learning Outcome

Audience will learn the concepts of Kappa and Lambda architectures. It will also facilitate them the identification of business cases most suited for those types of architectures. Additionally, they will walk out with a functional POC code (Github repository) that they could extend and adapt for their use.

Target Audience

Developers and technical managers interested in discovering how to easily get business value from their real-time data.

Prerequisite

Generic knowledge of data processing and Big Data technologies.

schedule Submitted 4 months ago

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  • Josh Graham
    By Josh Graham  ~  4 months ago
    reply Reply

    Sure you can fit it all in 30 mins? Also, demo should work without Internet ... don't rely on conference wifi ;-)

    • Radek Ostrowski
      By Radek Ostrowski  ~  4 months ago
      reply Reply

      Hi Josh, yes, I'll fit it in. It's less complicated than it seems :) I have the whole demo running on Docker on my laptop, so no need for wifi. Cheers 


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