Pgm Index🏅State-of-the-art learned data structure that enables fast lookup, predecessor, range searches and updates in arrays of billions of items using orders of magnitude less space than traditional indexes
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Spark.jlJulia binding for Apache Spark
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Data AcceleratorData 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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ZeppelinWeb-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
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H2o 3H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
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BigdataclassTwo-day workshop that covers how to use R to interact databases and Spark
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Spark With PythonFundamentals of Spark with Python (using PySpark), code examples
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KoalasKoalas: pandas API on Apache Spark
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LabsResearch on distributed system
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MmlsparkSimple and Distributed Machine Learning
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autThe Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.
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Data Science Ipython NotebooksData 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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bigdata-funA complete (distributed) BigData stack, running in containers
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Spark Movie LensAn on-line movie recommender using Spark, Python Flask, and the MovieLens dataset
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Spark Py NotebooksApache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
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LogislandScalable 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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Sparkling GraphSparklingGraph provides easy to use set of features that will give you ability to proces large scala graphs using Spark and GraphX.
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FeastFeature Store for Machine Learning
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GimelBig Data Processing Framework - Unified Data API or SQL on Any Storage
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spark-acidACID Data Source for Apache Spark based on Hive ACID
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SetlA simple Spark-powered ETL framework that just works 🍺
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DeltaAn open-source storage layer that brings scalable, ACID transactions to Apache Spark™ and big data workloads.
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SparkrdmaRDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark
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GeopysparkGeoTrellis for PySpark
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BigdlBuilding Large-Scale AI Applications for Distributed Big Data
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MetorikkuA simplified, lightweight ETL Framework based on Apache Spark
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MagellanGeo Spatial Data Analytics on Spark
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SparklerSpark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.
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SparkjniA heterogeneous Apache Spark framework.
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GeniA Clojure dataframe library that runs on Spark
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awesome-AI-kubernetes❄️ 🐳 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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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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EasyCompressor⚡ A compression library that implements many compression algorithms such as LZ4, Zstd, LZMA, Snappy, Brotli, GZip, and Deflate. It helps you to improve performance by reducing Memory Usage and Network Traffic for caching.
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basinBasin is a visual programming editor for building Spark and PySpark pipelines. Easily build, debug, and deploy complex ETL pipelines from your browser
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bigtableTypeScript Bigtable Client with 🔋🔋 included.
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xdelta-sharpDecompressor for delta encoding VCDIFF (RFC-3284) -- xdelta3 compatible.
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Book本项目收藏这些年来看过或者听过的一些不错的书籍,在整理文件时看见这些,发现删掉有点可惜,放着又太浪费空间,本着分享的原则,就把它们共享出来,一方面给需要的读者提供这些书籍,另一方面也是一种像知识库的积累吧
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daf-kyloKylo integration with PDND (previously DAF).
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blogblog entries
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dllibdllib is a distributed deep learning library running on Apache Spark
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wrenderImage compression and transformation reverse-proxy for Express apps
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napsAn experiment for building gateware for the axiom micro / beta using nmigen and yosys
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