870 Open source projects that are alternatives of or similar to Model Serving Tutorial

💥 🚀 封装sparkstreaming动态调节batch time(有数据就执行计算)；🚀 支持运行过程中增删topic；🚀 封装sparkstreaming 1.6 - kafka 010 用以支持 SSL。

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

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》

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

深圳地铁大数据客流分析系统🚇🚄🌟

🎯 🌟[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

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

Apache Spark and Apache Kafka integration example

商品大数据实时推荐系统。前端：Vue + TypeScript + ElementUI，后端 Spring + Spark

Spark、Flink等离线任务的调度以及实时任务的监控

Machine Learning Platform and Recommendation Engine built on Kubernetes

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.

汇总java生态圈常用技术框架、开源中间件，系统架构、数据库、大公司架构案例、常用三方类库、项目管理、线上问题排查、个人成长、思考等知识

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.

Spark Structured Streaming / Kafka / Cassandra / Elastic

Self-contained examples of Apache Spark streaming integrated with Apache Kafka.

Avro SerDe for Apache Spark structured APIs.

Write your Spark data to Kafka seamlessly

Schema Registry

Model complex data transformation pipelines easily

Cloudflow enables users to quickly develop, orchestrate, and operate distributed streaming applications on Kubernetes.

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.

A Flexible, Fast, Federated(3F) SQL Analysis Middleware for Multiple Data Sources

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Production Ready Data Integration Product, documentation：

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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。

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

大数据入门指南 ⭐

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Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs

Extended datasource support for Spark/Hadoop on Aliyun E-MapReduce.

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

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Examples for Deep Learning/Feature Store/Spark/Flink/Hive/Kafka jobs and Jupyter notebooks on Hops

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An umbrella project for multiple implementations of model serving

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Alpakka Kafka connector - Alpakka is a Reactive Enterprise Integration library for Java and Scala, based on Reactive Streams and Akka.

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

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Real Time Analytics and Data Pipelines based on Spark Streaming

A daily digest of the articles or videos I've found interesting, that I want to share with you.

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

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

Kafka Akka.Streams connectors - part of the Alpakka project

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.

Next generation tool for decentralized exchange and transformation of semi-structured data

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.

Data Accelerator for Apache Spark simplifies onboarding to Streaming of Big Data. It offers a rich, easy to use experience to help with creation, editing and management of Spark jobs on Azure HDInsights or Databricks while enabling the full power of the Spark engine.

A cohesive & pragmatic framework of FP centric Scala libraries

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

When Apache Pulsar meets Apache Spark