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⛈️ RumbleDB 1.17.0 "Cacao tree" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

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Rumble

Getting started: you will find a Jupyter notebook that introduces the JSONiq language on top of Rumble here. You can use it by installing the all-in-one Data Science platform Anaconda, unless you prefer to install Python+Spark+PySpark+Jupyter manually (brew, apt...).

The documentation also contains an introduction specific to Rumble and how you can read input datasets, but we have not converted it to Jupyter notebooks yet (this will follow).

The documentation of the latest official release is available here.

The documentation of the current master (for the adventurous and curious) is available here.

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⛈️ RumbleDB 1.17.0 "Cacao tree" 🌳 for Apache Spark | Run queries on your large-scale, messy JSON-like data (JSON, text, CSV, Parquet, ROOT, AVRO, SVM...) | No install required (just a jar to download) | Declarative Machine Learning and more

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  • Java 83.7%
  • JSONiq 7.1%
  • jq 4.6%
  • Jupyter Notebook 2.9%
  • ANTLR 1.6%
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