Hazelcast + Kibana: best buddies for exploring and visualizing data

1. wikipedia-changes

   1 1 4 0.0 Kotlin

   Repository for the post and talk "Hazelcast + Kibana: best buddies for exploring and visualizing data"

   

   Now is the time to create a data pipeline to get this data in Hazelcast. Note that if you want to follow along, the project is readily available on GitHub.

2. InfluxDB

   influxdata.com featured

   InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

   

3. okhttp-eventsource

   2 1 153 3.2 Java

   Server-sent events (SSE) client implementation for Java, based on OkHttp: http://javadoc.io/doc/com.launchdarkly/okhttp-eventsource

   

   Wikipedia provides changes through Server-Sent Events. In short, with SSE, you register a client to the endpoint, and every time new data comes in, you are notified and can act accordingly. On the JVM, a couple of SSE-compatible clients are available, including Spring WebClient. Instead, I chose to use OkHttp EventSource because it's lightweight - it only depends on OkHttp, and its usage is relatively straightforward.

4. lingua

   3 9 744 7.1 Kotlin

   The most accurate natural language detection library for Java and the JVM, suitable for long and short text alike (by pemistahl)

   

   A linguist can infer the language of the field. It's also possible to use an automated process in the pipeline. A couple of NLP libraries are available in the JVM ecosystem, but I set my eyes on Lingua, one focused on language recognition.

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