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Apache Spark and IBM Streams Working Together in Streaming Analytics

Event Details

Apache Spark and IBM Streams Working Together in Streaming Analytics

Time: March 28, 2017 from 9am to 10am
Location: Online
Website or Map: http://bit.ly/2mZ0FFI
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Mar 15

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Event Description

Space is limited.

Reserve your Webinar seat now

Spark is recognized as a great analytics engine. One of its benefits is its inclusion of machine learning algorithms that can group, predict, classify and even recommend based on the analysis of a corpus of data. Once the model is created, it can be applied to new data. In some situations, there is a need to score the model while the data is streaming to decide what to do with the new data.

In this Data Science Central Webinar you will learn how to process the data to arrive at a model and how the resulting model can be used to score streaming data using IBM Streams.


 

Speaker: Jacque Roy, Worldwide Product and Strategy -- IBM 

   

Hosted by: 
Bill VorhiesEditorial Director -- Data Science Central

Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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