Apache Storm Archives

Streaming Analytics with Analytic Models (R, Spark MLlib, H20, PMML)

ByKai Waehner
3. March 2016
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Closed Big Data Loop: 1) Finding Insights with R, H20, Apache Spark MLlib, PMML and TIBCO Spotfire. 2) Putting Analytic Models into Action via Event Processing and Streaming Analytics.

ByKai Waehner
10. September 2014
One comment

The article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from. Comparison of open source and proprietary stream processing / streaming analytics alternatives: Apache Storm, Spark, IBM InfoSphere Streams, TIBCO StreamBase, Software AG’s Apama, etc.

ByKai Waehner
1. July 2014
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Internet of things, cloud and mobile are the major drivers for stream processing. Use cases are network monitoring, intelligent surveillance, but also less technical things such as inventory management or fraud detection. The book helps a lot to get a basic understanding about history, concepts and patterns of the stream processing paradigm.

Technology Evangelist

Kai Waehner

Apache Storm

Streaming Analytics with Analytic Models (R, Spark MLlib, H20, PMML)

Comparison of Stream Processing and Streaming Analytics Alternatives (Apache Storm, Spark, IBM InfoSphere Streams, TIBCO StreamBase, Software AG Apama)

Fundamentals of Stream Processing (IBM InfoSphere Streams, TIBCO StreamBase, Apache Storm) – Book Review

Technology Evangelist

Apache Kafka vs. Middleware (MQ, ETL, ESB) – Slides + Video

Deep Learning Example: Apache Kafka + Python + Keras + TensorFlow + Deeplearning4j

A New Era in Dynamic Pricing: Real-Time Data Streaming with Apache Kafka and Flink