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M01_Introduction to Microsoft Fabric 0
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01 Microsoft Fabric Roles Demo 01 hourLecture1.1
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02 Create Workspace and different Storages 01 hourLecture1.2
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M02_00_LakeHouse 3
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03 create tables in SQL database 01 hourLecture2.1
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04 Open Table Formats 58 minLecture2.2
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05 ACID 01 hourLecture2.3
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06 Time Travel 01 hourLecture2.4
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07 Delta table Schema Evolution 01 hourLecture2.5
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M02_01_SQL Analytics Endpoint 1
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08 Lakehouse file to Lakehouse Delta Table 01 hourLecture3.1
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Microsoft Fabric Introduction 0
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Fabric IntroductionLecture4.1
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Fabric End to End Analytics SaaS productLecture4.2
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Fabric Signup and Python Datatypes and Data StructsLecture4.3
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Data Pipelines(Azure Data Factory) 11
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01 Pipe Lakhouse file to Lakhouse Delta TableLecture5.1
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02 Pipe from SqlDatabase to Lakehouse deltaTableLecture5.2
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03 Pipe Load Excel Sheets Dynamically to LakehouseLecture5.3
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05 Pipe Export EMP to Lakehouse Pipeline with Dynamic TimeStampLecture5.4
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06 pipe Load file if availableLecture5.5
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06 pipe Load file if available part2Lecture5.6
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07 Pipe Branch Files using SwitchLecture5.7
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08 Pipe to Incrementally load dataLecture5.8
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09. Pipe_Pipeline SchedulingLecture5.9
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10. Pipe_Execute Pipeline activityLecture5.10
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11. Pipe Load Data from API to lakehouse tableLecture5.11
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13. Pipe_Delete_ActivityLecture5.12
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13_1. Pipe_Outlook_ActivityLecture5.13
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13 2 Pipe Teams ActivityLecture5.14
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DataFlow Gen 2 CI/CD 5
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14 Create DataFlowLecture6.1
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ADF19 Split TransformationLecture6.2
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ADF21 UNION transformation & ADF22 Derived Column TransformationLecture6.3
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ADF24_1_Transformations in Stored ProcedureLecture6.4
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ADF25_Transformation_in_pyspark_notebookLecture6.5
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Azure DevOps 2
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git commandsLecture7.1
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Source ControlLecture7.2
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SQL analytics endpoint 2
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Module 03_00_SQL analytics endpoint – SQL QueryLecture8.1
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Visual QueryLecture8.2
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Data WareHouse 4
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Kusto Explorer(KQL) 3
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Data Ingestion and KQLLecture10.1
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06 – Add help clusterLecture10.2
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08 – Create Dashboard and Observe Sample DashboardsLecture10.3
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Real-Time Intelligence 1
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06 Time Travel