Mapreduce Collection

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🔮Psychic

★★★★

“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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⚡Thunder

★★★

“大数据入门指南 :star:”

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⚡Thunder

★★★

“Enterprise job scheduling middleware with distributed computing ability.”

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🔮Psychic

★★

“Python clone of Spark, a MapReduce alike framework in Python”

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🔮Psychic

★★

“大数据知识仓库涉及到数据仓库建模、实时计算、大数据、数据中台、系统设计、Java、算法等。”

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📦Normal

★★

“:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结”

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⚡Thunder

★★

“ MapReduce, Spark, Java, and Scala for Data Algorithms Book”

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🔮Psychic

★★

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

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🌊Water

★★

“distributed_computing include mapreduce kvstore etc.”

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🌊Water

★★

“🐎 A serverless MapReduce framework written for AWS Lambda”

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⚡Thunder

★★

“💎🔥大数据学习笔记”

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🌊Water

★★

“A serverless cluster computing system for the Go programming language”

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⚡Thunder

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“Uniffle is a high performance, general purpose Remote Shuffle Service.”

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🔮Psychic

★

“t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark”

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⚡Thunder

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“Compass is a task diagnosis platform for bigdata”

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⚙️Steel

★

“Dynamic execution framework for your Redis data”

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🔮Psychic

★

“🎉🎉🐳 Datawhale大数据处理导论教程 | 大数据技术方向的开篇课程🎉🎉”

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⚡Thunder

★

“Cascading is a feature rich API for defining and executing complex and fault tolerant data processing flows locally or on a cluster.”