Azure Data Engineer
- Description
- Curriculum
- Reviews
01. Introduction
02. Azure Storage
03. Azure SQL Data Base
04. Azure Data Factory
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16
01. Fundamentals of ADF -
17
02. Azure Data Pipeline-Copy Activity & Parameterized Dataset
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18
03. Azure Data Pipeline-Copy All Files,Merge Files & Types of Triggers
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19
04. Azure Data Pipeline-Delete More than 100KB Files & delete More than Four Columns
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20
05. ADF-Lookup, For Each & Logic app Activity
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21
06. Run the Notebook in ADF & Copy Data From Rest API
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22
07. Azure Data Flow Pipelines-Join Transformation
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23
08. Azure Data Flow Pipelines-Conditional Split Transformation
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24
09. Azure Data Flow Pipelines-Rank,Sort,SURROGATE Key,Exists Transformation
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25
10. Azure Data Flow Pipelines-Union & Lookup Transformation
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26
11. Azure Dataflow Pipelines-Aggerate and Windows Transformations
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27
12. Azure Data Flow Pipelines-Rename,Desired Columns,Convert File Format
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28
13. Data Flow Pipeline
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29
14. Understanding About Azure in-built Expressions
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30
15. Integrating ADF with Git
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31
16. Dataflow-Alter flow,Window,Aggegrate
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32
17. Dataflow-SCD Type-1
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33
Azure Data Factory Interview Q -
34
Azure Data pipeline
05. Azure Synapse
06. Azure Cosmos DB
07. Azure Stream Analytics
08. Azure Security & Governance
09. Azure Data Bricks
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