463 Open source projects that are alternatives of or similar to spark-druid-olap

A distributed data processing framework in Haskell.

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。

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.

大数据博客、笔试题、教程、项目、面经的整理

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Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

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

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Splash, a flexible Spark shuffle manager that supports user-defined storage backends for shuffle data storage and exchange

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.

Neo4j Connector for Apache Spark, which provides bi-directional read/write access to Neo4j from Spark, using the Spark DataSource APIs

一个大数据架构师应该掌握的技能

FFM (Field-Awared Factorization Machine) on Spark

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大数据入门指南 ⭐

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!

Harlan é o sistema modular que permite você automatizar toda sua governança cadastral da nuvem.

This is the development repository of SparkMeasure, a tool for performance troubleshooting of Apache Spark workloads. It simplifies the collection and analysis of Spark task metrics data.

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.

Kyuubi is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark

Linkis helps easily connect to various back-end computation/storage engines(Spark, Python, TiDB...), exposes various interfaces(REST, JDBC, Java ...), with multi-tenancy, high performance, and resource control.

Spark-Crawler: Apache Nutch-like crawler that runs on Apache Spark.

Relation Extraction using Deep learning(CNN)

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A Scala wrapper for Deeplearning4j, inspired by Keras. Scala + DL + Spark + GPUs

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。

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).

An open-source toolkit for large-scale genomic analysis

A tool for monitoring and tuning Spark jobs for efficiency.

🔧 Use dplyr to analyze Big Data 🐘

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This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]

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A Time Series Library for Apache Spark

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My presentation at ODSC India 2018 about Deep Learning with Apache Spark

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The following application contains the DevExpress Dashboard Component for Angular. The client side is hosted on the GitHub Pages and gets data from the server side that hosts on DevExpress.com.

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