Post by account_disabled on Dec 11, 2023 7:23:11 GMT
Database is used as Sink^^) Create a drag-drop Data Engineer project with Azure Data Factory (Part 2) Data Engineer: Azure Data Architecture ( source ) The Data Warehouse architecture we use in this article consists of the following steps: Preparing the Database and Links for the Sink that is used as a SQL database. We must create a connection to the SQL database and define the target table. Creating Table or creating a table for the data that we will "move" in this step We will need to create separate tables for each type of data, such as “table for daily patients”, “table for test data”, etc. (P.S. in case any of you forget, for the Data Engineer, this project will be Covid data. -19) Copying data from Azure Data Lake Storage Gen2 to an SQL database using .
“Copy Data” in Azure Data Factory (or friends who Whatsapp Number List are good at SQL can use SQL commands to do this). When our data has been successfully moved to the SQL Database. We will be able to use that data to further analyze or do Data Visualization. For example, for this data set, we will analyze the number of daily patients receiving treatment in hospitals, etc. Database is used as Sink^^) Create a drag-drop Data Engineer project with Azure Data Factory (Part 2) Data Engineer: Azure Data Architecture ( source ) The Data Warehouse architecture we use in this article consists of the following steps: Preparing the Database and Links for the Sink that is used as a SQL database. We must create a connection to the SQL database and define the target table.
Creating Table or creating a table for the data that we will "move" in this step We will need to create separate tables for each type of data, such as “table for daily patients”, “table for test data”, etc. (P.S. in case any of you forget, for the Data Engineer, this project will be Covid data. -19) Copying data from Azure Data Lake Storage Gen2 to an SQL database using “Copy Data” in Azure Data Factory (or friends who are good at SQL can use SQL commands to do this). When our data has been successfully moved to the SQL Database. We will be able to use that data to further analyze or do Data Visualization. For example, for this data set, we will analyze the number of daily patients receiving treatment in hospitals, etc.
“Copy Data” in Azure Data Factory (or friends who Whatsapp Number List are good at SQL can use SQL commands to do this). When our data has been successfully moved to the SQL Database. We will be able to use that data to further analyze or do Data Visualization. For example, for this data set, we will analyze the number of daily patients receiving treatment in hospitals, etc. Database is used as Sink^^) Create a drag-drop Data Engineer project with Azure Data Factory (Part 2) Data Engineer: Azure Data Architecture ( source ) The Data Warehouse architecture we use in this article consists of the following steps: Preparing the Database and Links for the Sink that is used as a SQL database. We must create a connection to the SQL database and define the target table.
Creating Table or creating a table for the data that we will "move" in this step We will need to create separate tables for each type of data, such as “table for daily patients”, “table for test data”, etc. (P.S. in case any of you forget, for the Data Engineer, this project will be Covid data. -19) Copying data from Azure Data Lake Storage Gen2 to an SQL database using “Copy Data” in Azure Data Factory (or friends who are good at SQL can use SQL commands to do this). When our data has been successfully moved to the SQL Database. We will be able to use that data to further analyze or do Data Visualization. For example, for this data set, we will analyze the number of daily patients receiving treatment in hospitals, etc.