471 Open source projects that are alternatives of or similar to Flink Shaded

Apache Flink is an open source project of The Apache Software Foundation (ASF). The Apache Flink project originated from the Stratosphere research project.

Stream computing platform for bigdata

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

🎯 🌟[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

An admission control policy that safeguards against accidental duplicate claiming of Hosts/Domains.

CSDN博客专家程序员欣宸的github，这里有四百多篇原创文章的详细分类和汇总，以及对应的源码，内容涉及Java、Docker、Kubernetes、DevOPS等方面

Code and presentation for Strata Model Serving tutorial

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

Robust, distributed version control for large files.

深圳地铁大数据客流分析系统🚇🚄🌟

Apache Parquet

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

Dremio - the missing link in modern data

Flink Forward 2017-04-10 &11 ppt

Distributed Stream and Batch Processing

MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)

Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks

An extremely fast Non-crypto-safe AES Based Hash algorithm for Big Data

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

Apache Kibble - a tool to collect, aggregate and visualize data about any software project

📈 Collect customer event data from your apps. (Note that this project only includes the API collector, not the visualization platform)

Esper instance for TV news analysis

An on-line movie recommender using Spark, Python Flask, and the MovieLens dataset

Support content for my blog

A real time Tweet Trend Map and Sentiment Analysis web application with kafka, Angular, Spring Boot, Flink, Elasticsearch, Kibana, Docker and Kubernetes deployed on the cloud

Mirror of Apache OODT

Apache Spark - A unified analytics engine for large-scale data processing

YMCache is a lightweight object caching solution for iOS and Mac OS X that is designed for highly parallel access scenarios.

Mirror of Apache Phoenix

Query engine for TrailDB

A heterogeneous Apache Spark framework.

Convert and analyze large data sets at light speed, on Mac and iOS.

Apache Accumulo

TrailDB is an efficient tool for storing and querying series of events

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

A Spark cluster setup running on Docker containers

Javascript full-stack framework for Big Data visualisation and analysis

Mirror of Apache CouchDB

Monitoring tool to measure flow throughput of data sources and processing components that are part of Data Ingestion and ETL pipelines.

Read and write Neuroglancer datasets programmatically.

ArcGIS GeoEvent Server sample Hadoop connector for storing GeoEvents in HDFS.

A Java package to automatically detect anomalies in large scale time-series data

Mirror of Apache Sqoop

When Apache Pulsar meets Apache Spark

Titanoboa makes complex workflows easy. It is a low-code workflow orchestration platform for JVM - distributed, highly scalable and fault tolerant.

Source code for the CERN Analysis Preservation portal

Mirror of Apache Storm

VerticaPy is a Python library that exposes sci-kit like functionality to conduct data science projects on data stored in Vertica, thus taking advantage Vertica’s speed and built-in analytics and machine learning capabilities.

The most widely used Python to C compiler

Measure behavior of Java applications

A native Node.js producer and consumer library for Amazon Kinesis Data Streams

Mirror of Apache Samza

Text Classification Engine

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

Intel® Scalable Dataframe Compiler for Pandas*

High-throughput gene to knowledge mapping through massive integration of public sequencing data.

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

Apache Spark 官方文档中文版