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#azuresynapse — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #azuresynapse, aggregated by home.social.

  1. Microsoft Azure Virtual Training Day: Implement a Lakehouse with Microsoft Fabric

    January 26, 2026, 12:00 PM – 2:30 PM ET (GMT-05:00) Discover how to simplify data insights with a lakehouse using Microsoft Fabric, streamline workflows for large data volumes, and understand data interactions across Synapse, Data Factory, and Power BI.

    #PowerBI #MicrosoftFabric #AzureSynapse #Analytics #AzureDataFactory
    msevents.microsoft.com/event?i

  2. Been busy working on updating our #ApacheSpark #Excel data source reader to support Spark 3.4

    FileSourceOptions and SparkPath throwing up some changes needed, but prompted a rewrite of the options class which was needed anyway. Unit tests are all passing now for Spark 3.0.1 up to 3.4.0 which is good, now for some manual testing on #Databricks and #AzureSynapse

    github.com/elastacloud/spark-e

  3. Been busy working on updating our data source reader to support Spark 3.4

    FileSourceOptions and SparkPath throwing up some changes needed, but prompted a rewrite of the options class which was needed anyway. Unit tests are all passing now for Spark 3.0.1 up to 3.4.0 which is good, now for some manual testing on and

    github.com/elastacloud/spark-e

  4. The GuyInACube continue to dive into , this time Patrick explores the use of the OVER and RANK functions in combination with common table expressions (CTE) in Database and Analytics. Check it out! youtu.be/ZKvpiOnwAK4

  5. The GuyInACube continue to dive into #tsql, this time Patrick explores the use of the OVER and RANK functions in combination with common table expressions (CTE) in #AzureSQL Database and #AzureSynapse Analytics. Check it out! youtu.be/ZKvpiOnwAK4

  6. Ok - I’m in.😀

    I’m a data architect, blogger and international speaker with my heart at the backend of things. Mainly Azure - or actually only #Azure right now.

    The #sqlserver, #AzureSynapse and #datafactory is where I thrive.

  7. Die Datenanalyse in einem Serverless-Clouddienst erfordert nur minimalen Programmieraufwand, wie ein Beispiel mit eigenen Fitnessdaten zeigt.
    Daten aus dem Fitnesstracker analysieren mit Azure Synapse Analytics