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Microsoft Fabric Introduction 0
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Fabric IntroductionLecture1.1
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Fabric End to End Analytics SaaS productLecture1.2
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Fabric Signup and Python Datatypes and Data StructsLecture1.3
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Data Pipelines(Azure Data Factory) 11
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01 Pipe Lakhouse file to Lakhouse Delta TableLecture2.1
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02 Pipe from SqlDatabase to Lakehouse deltaTableLecture2.2
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03 Pipe Load Excel Sheets Dynamically to LakehouseLecture2.3
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05 Pipe Export EMP to Lakehouse Pipeline with Dynamic TimeStampLecture2.4
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06 pipe Load file if availableLecture2.5
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06 pipe Load file if available part2Lecture2.6
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07 Pipe Branch Files using SwitchLecture2.7
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08 Pipe to Incrementally load dataLecture2.8
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09. Pipe_Pipeline SchedulingLecture2.9
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10. Pipe_Execute Pipeline activityLecture2.10
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11. Pipe Load Data from API to lakehouse tableLecture2.11
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13. Pipe_Delete_ActivityLecture2.12
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13_1. Pipe_Outlook_ActivityLecture2.13
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13 2 Pipe Teams ActivityLecture2.14
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DataFlow Gen 2 CI/CD 5
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14 Create DataFlowLecture3.1
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ADF19 Split TransformationLecture3.2
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ADF21 UNION transformation & ADF22 Derived Column TransformationLecture3.3
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ADF24_1_Transformations in Stored ProcedureLecture3.4
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ADF25_Transformation_in_pyspark_notebookLecture3.5
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Azure DevOps 2
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git commandsLecture4.1
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Source ControlLecture4.2
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SQL analytics endpoint 2
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Module 03_00_SQL analytics endpoint – SQL QueryLecture5.1
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Visual QueryLecture5.2
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Data WareHouse 4
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Kusto Explorer(KQL) 3
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Data Ingestion and KQLLecture7.1
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06 – Add help clusterLecture7.2
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08 – Create Dashboard and Observe Sample DashboardsLecture7.3
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Real-Time Intelligence 1
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