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DTSTART;TZID=Europe/Madrid:20180918T190000
DTEND;TZID=Europe/Madrid:20180918T210000
DTSTAMP:20180917T154052Z
CREATED:20180917T154052Z
LAST-MODIFIED:20180917T154052Z
UID:6962-1537297200-1537304400@lanavemadrid.com
SUMMARY:Big Data Madrid: Mesos Session
DESCRIPTION:Title/abstract:\nHow to build a secure (TLS and Kerberos) Machine Learning Pipeline with Mesosphere DC/OS\, Apache NIFI\, Kafka\, HDFS\, Spark and use Jupyterlab to provide a nice user experience. \nAuthor: Denis Jannot\nDenis is a passionate technologist\, working on innovative projects leveraging various technologies (Mesos\, Kubernetes\, Kafka\, Spark\, …). \nAgenda:\nMesosphere DC/OS overview\nChallenges when trying to build a secure ML pipeline\nDemo of a Twitter sentiment analysis pipeline with the following high level design:\nApache NIFI is used to listen the the Twitter Streaming API\nApache NIFI persist the tweets in HDFS and produce them in a Kafka topic\nA Jupyter notebook is used to create a model using Spark and the tweets stored in HDFS\nAnother Jupyter notebook is used to apply the model to the tweets consumed from Kafka \n¡Inscríbete!
URL:https://lanavemadrid.com/event/big-data-madrid-mesos-session/
CATEGORIES:Evento
ATTACH;FMTTYPE=image/jpeg:https://lanavemadrid.com/wp-content/uploads/2018/09/18_09_TBIGDATA_MESOS.jpg
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