Hdinsight Docs
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Spark | 1,963 |  | 18 | 5 months ago | 20 | June 01, 2022 | 196 | mit | C# | |
| .NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers. | ||||||||||
| Data Accelerator | 293 |  | 1 | 7 | 11 days ago | 26 | March 07, 2022 | 82 | mit | C# |
| 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. | ||||||||||
| Azure Event Hubs | 277 |  | 3 | a year ago | 2 | March 02, 2016 | 13 | mit | ||
| ☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs | ||||||||||
| Azure Event Hubs Spark | 225 | a year ago | 68 | July 03, 2019 | 53 | apache-2.0 | Scala | |||
| Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs | ||||||||||
| Streaming At Scale | 224 | 3 months ago | 19 | mit | C# | |||||
| How to implement a streaming at scale solution in Azure | ||||||||||
| Azure Databricks Nyc Taxi Workshop | 80 | a year ago | 8 | mit | Scala | |||||
| An Azure Databricks workshop leveraging the New York Taxi and Limousine Commission Trip Records dataset | ||||||||||
| Pixelstreamingcloudguide | 80 | 6 months ago | cc-by-4.0 | |||||||
| A guide to Pixel Streaming in the cloud (AWS, Azure, GCP, Linux, Windows). | ||||||||||
| Databricks Notebooks | 22 | 6 years ago | mit | Jupyter Notebook | ||||||
| Collection of Sample Databricks Spark Notebooks ( mostly for Azure Databricks ) | ||||||||||
| Hdinsight Docs | 21 | 3 years ago | 6 | Jupyter Notebook | ||||||
| HDInsight Developer's Guide | ||||||||||
| Serverless Data Processing | 21 | 5 years ago | 2 | PowerShell | ||||||
| Use the different Serverless Services on Azure to process data from a streaming source | ||||||||||
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