761 Open source projects that are alternatives of or similar to Spark Kafka Writer

Visualize data using relative ordering

Isolation Forest on Spark

An open-source toolkit for large-scale genomic analysis

A kafka command line browser

There are pieces of scala code that explain Scala syntax and related things - like what you can do with all this

Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark

A high performance/ real-time C++ Kafka streams framework (C++17)

Research on distributed system

Kafka Zookeeper RESTful API to perform topic/consumer group administration/metric(offset\lag\message) collection and monitor

A luigi powered analytics / warehouse stack

Pandas and Spark DataFrame comparison for humans

Big Data for Data Engineers Coursera Specialization from Yandex

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

Golang app to read records from a set of kafka topics and write them to an elasticsearch cluster

本人的RabbitMQ和Kafka详细笔记以及示例代码

This is a NodeJS/Angular 2 frontend UI for Kafka cluster monitoring with Burrow

pyspark🍒🥭 is delicious，just eat it!😋😋

DataStax Spark Cassandra Connector

python通用分布式函数调度框架 pip install function_scheduling_distributed_framework

Protobuf converter plugin for Kafka Connect

Writing application logic for Spark jobs that can be unit-tested without a SparkContext

a command-line Protobuf parser with Kafka support and JSON output

一个仿照牛客网实现的讨论社区，不仅实现了基本的注册，登录，发帖，评论，点赞，回复功能，同时使用前缀树实现敏感词过滤，使用wkhtmltopdf生成长图和pdf，实现网站UV和DAU统计，并将用户头像等信息存于七牛云服务器。

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

Spark Streaming监控平台，支持任务部署与告警、自启动

Ansible Kafka role

Everything about Apache Kafka

Real-time Machine Learning with Apache Spark on Twitter Public Stream

Elassandra = Elasticsearch + Apache Cassandra

Automated documentation for async APIs built with Spring Boot

Confluent's Apache Kafka .NET client

Apache Spark 官方文档中文版

My own version of r/place, done in a weekend

Camel Kafka Connector allows you to use all Camel components as Kafka Connect connectors

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

something to help you spark

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

Ship changes in Postgres 🐘 to Kafka 📖

State of the Art Natural Language Processing

Kafka Browser that supports standalone Kafka and Strimzi operator

A collection of kafka-resources

Zemberek Türkçe NLP Java Kütüphanesi üzerine REST Docker Sunucu

Fast, Scientific and Numerical Computing for the JVM (NDArrays)

Code examples on Apache Spark using python

CMAK is a tool for managing Apache Kafka clusters

Simple Event Driven Microservices with Spring Cloud Stream

A Clojure dataframe library that runs on Spark

Kafka Connect Tooling

Kafka ecosystem ... but step by step!

Azure Event Hubs for Apache Kafka Ecosystems

Framework for Apache Kafka based Ruby and Rails applications development.

A curated list of Pulsar tools, integrations and resources.

Geospatial Raster support for Spark DataFrames

Kafkawize : A Self service Apache Kafka Topic Management tool/portal. A Web application which automates the process of creating and browsing Kafka topics, acls, schemas by introducing roles/authorizations to users of various teams of an org.

[https://www.sofineday.com], golang项目开发脚手架,集成最佳实践(gin+gorm+go-redis+mongo+cors+jwt+json日志库zap(支持日志收集到kafka或mongo)+消息队列kafka+微信支付宝支付gopay+api加密+api反向代理+go modules依赖管理+headless爬虫chromedp+makefile+二进制压缩+livereload热加载)

A simple Spark-powered ETL framework that just works 🍺

🚢 Docker image for Apache Spark

Content for architecting a data science platform for products using Luigi, Spark & Flask.

🚀 Azkarra is a lightweight java framework to make it easy to develop, deploy and manage cloud-native streaming microservices based on Apache Kafka Streams.

This package contains a generic implementation of greedy Information Theoretic Feature Selection (FS) methods. The implementation is based on the common theoretic framework presented by Gavin Brown. Implementations of mRMR, InfoGain, JMI and other commonly used FS filters are provided.