🌿 基于springboot的快速学习示例,整合自己遇到的开源框架,如：rabbitmq(延迟队列)、Kafka、jpa、redies、oauth2、swagger、jsp、docker、spring-batch、异常处理、日志输出、多模块开发、多环境打包、缓存cache、爬虫、jwt、GraphQL、dubbo、zookeeper和Async等等📌

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Mutual labels: spark, spring-boot

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

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Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

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Data Accelerator

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

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Mutual labels: spark, big-data

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Koalas: pandas API on Apache Spark

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Mutual labels: spark, big-data

Succinct

Enabling queries on compressed data.

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leaflet heatmap

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 .

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Mutual labels: big-data, spark

Magellan

Geo Spatial Data Analytics on Spark

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Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

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RSparkling: Use H2O Sparkling Water from R (Spark + R + Machine Learning)

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Data Science Ipython Notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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Apache Spark Website

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❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

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Mutual labels: big-data, spark

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Two-day workshop that covers how to use R to interact databases and Spark

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大数据入门指南 ⭐

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Feature Store for Machine Learning

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Logisland

Scalable stream processing platform for advanced realtime analytics on top of Kafka and Spark. LogIsland also supports MQTT and Kafka Streams (Flink being in the roadmap). The platform does complex event processing and is suitable for time series analysis. A large set of valuable ready to use processors, data sources and sinks are available.

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Apache Spark on AWS Lambda

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A Clojure dataframe library that runs on Spark