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apache-spark

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Apache Spark is an open source distributed general-purpose cluster-computing framework. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.

Here are 1,908 public repositories matching this topic...

Open source platform for the machine learning lifecycle

  • UpdatedMar 18, 2025
  • Python
SynapseMLlakeFS

酷玩 Spark: Spark 源代码解析、Spark 类库等

  • UpdatedMay 18, 2022
  • Scala

Interactive and Reactive Data Science using Scala and Spark.

  • UpdatedMay 16, 2023
  • JavaScript

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

  • UpdatedMar 18, 2025
  • Go

BigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray

  • UpdatedJan 21, 2025
  • Jupyter Notebook

Apache Spark docker image

  • UpdatedApr 21, 2023
  • Shell

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

  • UpdatedAug 16, 2021
  • Java

A curated list of awesome Apache Spark packages and resources.

  • UpdatedOct 24, 2024
  • Shell

The Internals of Apache Spark

  • UpdatedSep 14, 2024

SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.

  • UpdatedJul 18, 2022
  • Jupyter Notebook
goodreads_etl_pipeline

This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

  • UpdatedJan 28, 2025
  • Scala

PySpark + Scikit-learn = Sparkit-learn

  • UpdatedDec 31, 2020
  • Python

(Deprecated) Scikit-learn integration package for Apache Spark

  • UpdatedDec 3, 2019
  • Python

GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs

  • UpdatedMar 17, 2025
  • Scala

Created by Matei Zaharia

Released May 26, 2014

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Repository
apache/spark
Website
spark.apache.org
Wikipedia
Wikipedia

Related Topics

hadoop scala

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