761 Open source projects that are alternatives of or similar to Data Algorithms Book

大数据入门指南 ⭐

个人学习知识库涉及到数据仓库建模、实时计算、大数据、Java、算法等。

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.

🎯 🌟[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

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

50+ DockerHub public images for Docker & Kubernetes - Hadoop, Kafka, ZooKeeper, HBase, Cassandra, Solr, SolrCloud, Presto, Apache Drill, Nifi, Spark, Consul, Riak, TeamCity and DevOps tools built on the major Linux distros: Alpine, CentOS, Debian, Fedora, Ubuntu

Data pipeline project

按知识领域整理面试题，包括C++、Java、Hadoop、机器学习等

low-level helpers for Apache Spark libraries and tests

Code Library for My Blog

The Archives Unleashed Toolkit is an open-source toolkit for analyzing web archives.

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

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

Python clone of Spark, a MapReduce alike framework in Python

PySpark Algorithms Book: https://www.amazon.com/dp/B07X4B2218/ref=sr_1_2

大数据学习笔记，学习路线，技术案例整理。

A collection of tutorials on Hadoop, MapReduce, Spark, Docker

Fast Data Cluster (Apache Cassandra, Kafka, Spark, Flink, YARN and HDFS with Vagrant and VirtualBox)

Framework of vectorized and distributed data analytics

大数据生态圈学习

Data Lineage Tracking And Visualization Solution

Cascading is a feature rich API for defining and executing complex and fault tolerant data processing flows locally or on a cluster. See https://github.com/Cascading/cascading for the release repository.

A simplified, lightweight ETL Framework based on Apache Spark

一个大数据架构师应该掌握的技能

WeDataSphere is a financial level one-stop open-source suitcase for big data platforms. Currently the source code of Scriptis and Linkis has already been released to the open-source community. WeDataSphere, Big Data Made Easy!

80+ DevOps & Data CLI Tools - AWS, GCP, GCF Python Cloud Function, Log Anonymizer, Spark, Hadoop, HBase, Hive, Impala, Linux, Docker, Spark Data Converters & Validators (Avro/Parquet/JSON/CSV/INI/XML/YAML), Travis CI, AWS CloudFormation, Elasticsearch, Solr etc.

Kylo is a data lake management software platform and framework for enabling scalable enterprise-class data lakes on big data technologies such as Teradata, Apache Spark and/or Hadoop. Kylo is licensed under Apache 2.0. Contributed by Teradata Inc.

Java开发者或者大数据开发者面试知识点整理

gomrjob - a Go Framework for Hadoop Map Reduce Jobs

Realtime calculation distributed system. AKA distributed lodash

深圳地铁大数据客流分析系统🚇🚄🌟

Companion to Learning Hadoop and Learning Spark courses on Linked In Learning

大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

Mapreduce project by Hadoop, Nutch, AWS EMR, Pig, Tez, Hive

网站点击流离线日志分析

Open-source distribute workflow schedule tools, also support streaming task.

Fast and easy parallel mapreduce on HPC clusters

基于Spark2.2新闻网大数据实时系统项目

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 .

A complete (distributed) BigData stack, running in containers

Spark、Flink等离线任务的调度以及实时任务的监控

Create clusters of VMs on the cloud and configure them with Ansible.

Behemoth is an open source platform for large scale document analysis based on Apache Hadoop.

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

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

Iceberg is a table format for large, slow-moving tabular data

Building Large-Scale AI Applications for Distributed Big Data

Generic Data Ingestion & Dispersal Library for Hadoop

Basin is a visual programming editor for building Spark and PySpark pipelines. Easily build, debug, and deploy complex ETL pipelines from your browser

大数据生态解决方案数据平台：基于大数据、数据平台、微服务、机器学习、商城、自动化运维、DevOps、容器部署平台、数据平台采集、数据平台存储、数据平台计算、数据平台开发、数据平台应用搭建的大数据解决方案。

编程电子书，电子书，编程书籍，包括C，C#，Docker，Elasticsearch，Git，Hadoop，HeadFirst，Java，Javascript，jvm，Kafka，Linux，Maven，MongoDB，MyBatis，MySQL，Netty，Nginx，Python，RabbitMQ，Redis，Scala，Solr，Spark，Spring，SpringBoot，SpringCloud，TCPIP，Tomcat，Zookeeper，人工智能，大数据类，并发编程，数据库类，数据挖掘，新面试题，架构设计，算法系列，计算机类，设计模式，软件测试，重构优化，等更多分类

💎🔥大数据学习笔记

MaRe leverages the power of Docker and Spark to run and scale your serial tools in MapReduce fashion.

An open source framework for building data analytic applications.

电商用户行为分析大数据平台

H2O 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.

A Clojure dataframe library that runs on Spark

Big Data Ecosystem Docker

O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian