Apache Storm
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Enterprise Java
Important Production bugs and fixes for Storm and Kafka integration
I will describe here a few details for Storm and Kafka integration modules, a few important bugs that you should…
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Scala
WordCount with Storm and Scala
Apache Storm is a free and open source distributed realtime computation system running on the JVM. To get started we…
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Enterprise Java
Complex event processing (CEP) with Apache Storm and Apache Ignite
In this article, author of the book “High Performance in-memory computing with Apache Ignite”, will discuss the complex event processing with…
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Enterprise Java
Apache Storm: How to configure KafkaBolt with Flux
Flux in a mini framework that can help us define and deploy a Storm topology. Flux has various wrappers that…
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Core Java
Configurable ETL processing using Apache Storm and Kite SDK Morphlines
From the first days I have worked as software engineer, I always hear the same request by many sides: “We…
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Enterprise Java
Real time sentiment analysis example with Apache Storm
Real Time Sentiment Analysis refers to processing streams of natural language text (or voice) in order to extract subjective information.…
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Enterprise Java
Local installation of standalone HBase and Apache Storm simple cluster
We mainly use Apache Storm for streaming processing and Apache HBase as NoSQL wide-column database. Even if Apache Cassandra is…
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Enterprise Java
Streaming Big Data: Storm, Spark and Samza
There are a number of distributed computation systems that can process Big Data in real time or near-real time. This…
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Enterprise Java
Instant Big Data Stream Processing = Instant Storm
Every 6 months at Canonical, the company behind Ubuntu, I work on something technical to test our tools first hand…
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