How to build an anomaly detection engine with Spark, Akka and Cassandra /

"In this webcast you will learn how to:- determine when to use batch, microbatch and event data processing- build an anomaly detection module using Spark, Spark SQL, and Spark MLlib- build an event processing engine with Akka- setup Cassandra to persist events as well as machine learning models...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Busa, Natalino (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, [2015]
Temas:
SPARK (Electronic resource)
Apache Cassandra.
Anomaly detection (Computer security)
Electronic data processing > Distributed processing > Management.
Computer security.
Détection d'anomalies (Sécurité informatique)
Sécurité informatique.
Electronic videos.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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500 |a Date of publication from resource description page. 
520 |a "In this webcast you will learn how to:- determine when to use batch, microbatch and event data processing- build an anomaly detection module using Spark, Spark SQL, and Spark MLlib- build an event processing engine with Akka- setup Cassandra to persist events as well as machine learning models- keep a machine learning model up-to-date by using Spark Streaming."--Resource description page. 
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