Learn ETL and Big Data Processing on Azure -Azure Data Factory(ADF), SQL Server, Blob Storage, Datalake G1,G2, REST API.
Instructed by Atchyut Kumar 11 hours on-demand video
What you’ll learn
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You will learn how to build a real time data pipeline in Azure Data Factory (ADF).
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You will learn how to transform data using Data Flows in Azure Data Factory (ADF) and load into ADLS2, Blob storage.
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You will learn how to ingest JSON data from SQL Server to API end point.
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You will learn how to build production ready pipelines and good practices and naming standards.
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You will learn how to monitor pipelines using Azure Data Factory (ADF), Azure Monitor and Log Analytics with a real-world project.
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You will learn about manual/Triggers in Azure Data Factory (ADF) and how to use them to schedule the data pipelines.
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Create Data driven, fully integrated, dynamic and automated production grade pipeline creation and orchestration.
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Data Warehousing Concepts like Fact & dimension tables, SCD type1, type2, Incremental loading and implement using ADF.
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Connect & copy data from On Premise data stores, On premise SQL server via Self Hosted Integration Runtime to cloud.
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How to ingest data from sources such as REST API, Azure Blob Storage, SQL DB into Azure Data Lake Gen2 using Azure Data Factory (ADF)
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Learn Azure Data Factory(ADF) with real time projects – ADF, SQL Server, Blob Storage, Datalake G1,G2, REST API.
Who this course is for:
- For all levels.
- Students, Working Professionals
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