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.
Обновлено 2024-11-11 09:31:50 +03:00
☁️ Cloud-scale telemetry ingestion from any stream of data with Azure Event Hubs
Обновлено 2024-10-18 20:50:15 +03:00
Apache Spark Connector for Azure Kusto
Обновлено 2024-10-11 14:58:59 +03:00
Enabling Continuous Data Processing with Apache Spark and Azure Event Hubs
Обновлено 2024-06-11 23:11:35 +03:00
C# and F# language binding and extensions to Apache Spark
Обновлено 2024-01-30 22:45:57 +03:00
Spark bindings for Mozilla Telemetry
Обновлено 2023-11-09 13:04:44 +03:00
Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs
Обновлено 2023-03-28 19:44:37 +03:00
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Обновлено 2023-02-18 00:56:32 +03:00
A Scala framework to build derived datasets, aka batch views, of Telemetry data.
Обновлено 2022-06-25 02:33:07 +03:00
This is a solution accelerator for creating personalized content recommendations based on user activity.
Обновлено 2022-03-17 22:45:10 +03:00
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
Обновлено 2022-01-11 19:29:20 +03:00
AZTK powered by Azure Batch: On-demand, Dockerized, Spark Jobs on Azure
Обновлено 2021-02-02 20:38:45 +03:00
Microsoft's contributions for Spark with Apache Accumulo
Обновлено 2020-10-13 20:55:58 +03:00
AWS bootstrap scripts for Mozilla's flavoured Spark setup.
Обновлено 2020-02-14 00:05:23 +03:00
Spark Streaming ETL jobs for Mozilla Telemetry
Обновлено 2019-12-05 22:09:03 +03:00
Telemetry Analysis Service
Обновлено 2019-12-04 17:22:37 +03:00
Estimating driver safety for connected cars
Обновлено 2018-09-12 13:39:08 +03:00