Post by account_disabled on Dec 11, 2023 3:58:31 GMT
And for those interested in other services, you can see details of Microsoft Fabric from the link: www.microsoft.com/en-us/microsoft-fabric www.microsoft.com/en-us/microsoft-fabric But for this article, we will focus on Software-as-a-Service (SaaS) to do a Data Engineer project called Azure Data Factory , which has the following details ^^ #1 Structure of data architecture (Data ARCHITECTURE) Let's start with creating an ETL .
Pipeline (ETL is the process of Extract, Transform Whatsapp Number List Load , which is moving data from the source system to the destination system according to specified time periods or conditions), which has the following components. Storage Solutions are Azure Blob Storage, Azure Data Lake Storage Gen2, and Azure SQL Database. Ingestion Solution used as Azure Data Factory Transformation Solution is used as data flow in Azure Data Factory, HDInsight and Azure Databrick.
Visualization is used as Power BI. with Techstack as shown in the picture below. (For the data used in the Build project, it will be used as Covid-19 data, which is open source data.) Create a drag-and-drop Data Engineer project with Azure Data Factory (Part 1) credit: Nam Huynh Thien Start by choosing to use Azure Data Factory (ADF) for data integration because ADF itself can connect to all our data sources and databases in this Data Engineer Project.
Pipeline (ETL is the process of Extract, Transform Whatsapp Number List Load , which is moving data from the source system to the destination system according to specified time periods or conditions), which has the following components. Storage Solutions are Azure Blob Storage, Azure Data Lake Storage Gen2, and Azure SQL Database. Ingestion Solution used as Azure Data Factory Transformation Solution is used as data flow in Azure Data Factory, HDInsight and Azure Databrick.
Visualization is used as Power BI. with Techstack as shown in the picture below. (For the data used in the Build project, it will be used as Covid-19 data, which is open source data.) Create a drag-and-drop Data Engineer project with Azure Data Factory (Part 1) credit: Nam Huynh Thien Start by choosing to use Azure Data Factory (ADF) for data integration because ADF itself can connect to all our data sources and databases in this Data Engineer Project.