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Apache Spark is an open-source unified analytics engine for large-scale data processing. Spark provides an interface for programming clusters with implicit data parallelism and fault tolerance. Originally developed at the University of California, Berkeley's AMPLab starting in 2009, in 2013, the Spark codebase was donated to the Apache Software…
History & Art
Explore the main themes, entities and connections around Apache Spark. Start with the topic map, then use the sections below for research and deeper semantic analysis.
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High-confidence facts extracted from structured source data. Use them as anchors for further research.
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Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
spark apache data sql python distributed scala provides streaming support api pyspark also rdd programming interface machine pipelines cluster rdds
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Apache Spark | Available in | Scala, Java, SQL, Python, R, C#, F# | 1.00 | infobox |
| Apache Spark | Developer | Apache Spark | 1.00 | infobox |
| Apache Spark | License | Apache License 2.0 | 1.00 | infobox |
| Apache Spark | Operating system | Windows, macOS, Linux | 1.00 | infobox |
| Apache Spark | Original author | Matei Zaharia | 1.00 | infobox |
| Apache Spark | Release | May 26, 2014; 12 years ago (2014-05-26) | 1.00 | infobox |
| Apache Spark | Repository | Spark Repository | 1.00 | infobox |
| Apache Spark | Stable release | 4.1.2 (Scala 2.13) / May 21, 2026; 3 months ago (2026-05-21) | 1.00 | infobox |
| Apache Spark | Type | Data analytics, machine learning algorithms | 1.00 | infobox |
| Apache Spark | Website | spark.apache.org | 1.00 | infobox |
| Apache Spark | Written in | Scala | 1.00 | infobox |
| Apache Spark | is a | open-source unified analytics engine for large-scale data processing | 0.90 | text |
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