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The Internals of Spark SQL

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Fundamentals of Spark with Python (using PySpark), code examples

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简单的可视化湖州通话数据 假设数据量很大，没法用浏览器直接绘制热力图，把绘制热力图这一步骤放到线下计算分析。使用Apache Spark并行计算数据之后，再使用Apache Spark绘制热力图，然后用leafletjs加载OpenStreetMap图层和热力图图层，以达到良好的交互效果。现在使用Apache Spark实现绘制，可能是Apache Spark不擅长这方面的计算或者是我没有设计好算法，并行计算的速度比不上单机计算。Apache Spark绘制热力图和计算代码在这 https://github.com/yuanzhaokang/ParallelizeHeatmap.git .

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

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This is an example of real time stream processing using Spark Streaming, Kafka & Elasticsearch.

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Haskell on Apache Spark.

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This is the development repository of SparkMeasure, a tool for performance troubleshooting of Apache Spark workloads. It simplifies the collection and analysis of Spark task metrics data.

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

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C# and F# language binding and extensions to Apache Spark

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This application comes as Spark2.1-as-Service-Provider using an embedded, Reactive-Streams-based, fully asynchronous HTTP server

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Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

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《数据结构（Python语言描述）》"Fundamentals of Python:Data Structures" 电子书和配套代码

Project SnappyData - memory optimized analytics database, based on Apache Spark™ and Apache Geode™. Stream, Transact, Analyze, Predict in one cluster

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机器学习深度学习相关书籍、课件、代码的仓库。 Machine learning is the warehouse of books, courseware and codes.

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