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 2024-11-04 10:02:02 +03:00
R interface to Azure Data Explorer, aka Kusto
Обновлено 2023-10-13 17:29:01 +03:00
Visual Studio Code Extension for deploying applications to a SQL Server Big Data Cluster
Обновлено 2023-06-27 16:00:13 +03:00
U-SQL Examples and Issue Tracking
Обновлено 2023-03-28 04:15:57 +03:00
Samples and Docs for Azure Data Lake Store and Analytics
Обновлено 2023-01-24 20:24:38 +03:00
Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)
Обновлено 2022-09-18 21:35:33 +03:00
MCW Big data analytics and visualization
Обновлено 2022-07-01 19:47:51 +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
Microsoft's contributions for Spark with Apache Accumulo
Обновлено 2020-10-13 20:55:58 +03:00
Peregrine is a workload optimization platform for cloud query engines. The goal of Peregrine is three-fold: 1. make it easier to ingest and analyze query workload telemetry into a common engine-agnostic representation, 2. help developers to quickly build workload optimization applications to reduce overall costs and improve operational efficiency, and 3. providing better experience to the customers in the form of workload insights, actionable recommendations, and self-tuning capabilities.
Обновлено 2020-08-31 07:53:14 +03:00
A reference implementation of an end to end Azure infrastructure for scalable enterprise BI and Reporting
Обновлено 2018-02-03 00:22:35 +03:00