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Making The Elephant Fly: Using Hadoop in the Azure Cloud

After a great Future of Data Roadshow in Amsterdam, it's time to kick off the meetup series. This time we have speakers from Microsoft and Hortonworks lined up to discuss Hadoop deployments in the Cloud.

We thank Microsoft for kindly hosting us in their fabulous office near Schiphol Airport, and also for taking care of catering and drinks.

Agenda:

18:00 - Arrive, drink, eat

18:45 - Presentations

We will have two presentations:

1. Leveraging Hortonworks Data Flow for IoT projects in the Azure Cloud

Jorn Eilander, ING; and Hellmar Becker, Hortonworks

Jorn is a seasoned DevOps engineer at ING Bank who specialized in Hadoop datalake deployment; in his free time he likes to automate his home. Hellmar is a solutions engineer and evangelist at Hortonworks. Together, they have been working on IoT projects for a while. 

The talk shows how to connect sensors (that can be tiny embedded devices) to a resilient ingestion layer that is accessible in the cloud. Sensor flows can be configured in the HDF GUI and deployed on the edge devices with the new MiNiFi agent. The cloud service ingests all the input and uses HDP for powerful historical analysis.

2. Introduction to HDInsight

Ahmed Mostafa, Microsoft

With the same demonstration environment, Ahmed will be showing the possibilities that Microsoft is offering out of the box for Hadoop along with the analytics services surrounding the ecosystem.

20:30 - Drinks and Networking

21:00 - Everybody out

Join or login to comment.

  • Andrew Li Y.

    Interesting talks

    2h ago

  • Michael R.

    I currently believe that storing most IoT data is pointless, but that exceptions detected during ingestion are highly worthy of analysis. Very interested in commentary about how those exceptions can be identified and stored.

    November 7

    • Subbu

      @Hellmar, aren't features that define "relevant insights" transient, i.e. if today we consider a few features as "relevant", changing environment might demand newer variables tomorrow. Given this premise and the near free fall in prices of storage costs, can organizations today afford to throw away any data?

      November 9

    • Hellmar B.

      @Subbu It depends. Imagine a sensor that delivers readings at fixed intervals, but you are only interested whether the value changed. You can strip off a whole lot of data before you hit the central hub, without losing any information.

      1 · November 10

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