1018 Open source projects that are alternatives of or similar to Aliyun Emapreduce Datasources

🎯 🌟[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

深圳地铁大数据客流分析系统🚇🚄🌟

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

专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...

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!

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

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。

Generic Data Ingestion & Dispersal Library for Hadoop

Real Time Analytics and Data Pipelines based on Spark Streaming

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.

🌿 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📌

Kafka Connect HDFS connector

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Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.

电商用户行为分析大数据平台

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.

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

A cohesive & pragmatic framework of FP centric Scala libraries

MySQL to NoSQL real time dataflow

零基础学习spark，大数据学习

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

A Spark cluster setup running on Docker containers

Waimak is an open-source framework that makes it easier to create complex data flows in Apache Spark.

Hadoop Crypto Ledger - Analyzing CryptoLedgers, such as Bitcoin Blockchain, on Big Data platforms, such as Hadoop/Spark/Flink/Hive

一个大数据架构师应该掌握的技能

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

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.

Building Large-Scale AI Applications for Distributed Big Data

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.

Alluxio, data orchestration for analytics and machine learning in the cloud

🚢 Docker image for Apache Spark

Open-source IoT Platform - Device management, data collection, processing and visualization.

Mirror of Linkedin's Camus

A pandas-like deferred expression system, with first-class SQL support

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.

Apache Spark and Apache Kafka integration example

按知识领域整理面试题，包括C++、Java、Hadoop、机器学习等

A big data platform for analyzing web access logs

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).

Code and presentation for Strata Model Serving tutorial

A Docker container with a full Hadoop cluster setup with Spark and Zeppelin

A large-scale entity and relation database supporting aggregation of properties

The purpose of this tiny project is to put things together with the know how that i learned from the course big data expert from formacionhadoop.com The idea is to show how to play with apache spark streaming, kafka,mongo, spark machine learning algorithms.

DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitization/cleansing, analysis/mining, quality measurement, visualization, and task scheduling.

Educational notes,Hands on problems w/ solutions for hadoop ecosystem

Avro SerDe for Apache Spark structured APIs.

Streaming data changes to a Data Lake with Debezium and Delta Lake pipeline

Machine Learning Platform and Recommendation Engine built on Kubernetes

An Airflow docker image preconfigured to work well with Spark and Hadoop/EMR

flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Table API & SQL 等内容的学习案例，还有 Flink 落地应用的大型项目案例（PVUV、日志存储、百亿数据实时去重、监控告警）分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

extremely distributed machine learning

Gathers scalable tensorflow and infrastructure deployment

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.

450+ AWS, Hadoop, Cloud, Kafka, Docker, Elasticsearch, RabbitMQ, Redis, HBase, Solr, Cassandra, ZooKeeper, HDFS, Yarn, Hive, Presto, Drill, Impala, Consul, Spark, Jenkins, Travis CI, Git, MySQL, Linux, DNS, Whois, SSL Certs, Yum Security Updates, Kubernetes, Cloudera etc...

Cookbook to install Hadoop 2.0+ using Chef

Production Ready Data Integration Product, documentation：