Post by alimularefin32 on Dec 14, 2023 11:12:44 GMT 5.5
Gen2 After friends have completed setting up the Environment and Create “ Azure blob storage” with “ Azure Data Lake Storage Gen2 ” according to step 2.1. In this topic, we will import data from “Azure blob storage” to “Azure Data Lake Storage Gen2” which is our data lake using Azure Data Factory^^ In this project we want to copy The .gz file data stored in Azure blob goes to the Azure data lake every time a file arrives. And after the data has been copied successfully Automatically delete .gz files in Azure blob To use Azure Data Factory, we should prepare 2 Datasets and 2 link services, 1 set each for Azure Blob Storage and Azure Data Lake Gen2. Create a drag-drop Data Engineer project with Azure Data Factory (Part 2) Connect Azure Blob to Azure Data Lake Gen2: Source In calling our Pipeline, there will be the following details and steps.
Verify that the files we need are available. (Here it is a .gz file) or not? If there Special Data is a file, get the metadata file of that file. Please check whether the amount of metadata matches the number of columns or not. If it does, copy it and delete the file from the source, which in this case is Blob Storage. Consider how many datasets that need to be ingested into our Data Lake (here our dataset will be a .csv file). Gen2 After friends have completed setting up the Environment and Create “ Azure blob storage” with “ Azure Data Lake Storage Gen2 ” according to step 2.1. In this topic, we will import data from “Azure blob storage” to “Azure Data Lake Storage Gen2” which is our data lake using Azure Data Factory^^ In this project we want to copy The .gz file data stored in Azure blob goes to the Azure data lake every time a file arrives. And after the data has been copied successfully Automatically delete .gz files in Azure blob To use Azure Data Factory, we should prepare 2 Datasets and 2 link services,
Set each for Azure Blob Storage and Azure Data Lake Gen2. Create a drag-drop Data Engineer project with Azure Data Factory (Part 2) Connect Azure Blob to Azure Data Lake Gen2: Source In calling our Pipeline, there will be the following details and steps. Verify that the files we need are available. (Here it is a .gz file) or not? If there is a file, get the metadata file of that file. Please check whether the amount of metadata matches the number of columns or not. If it does, copy it and delete the file from the source, which in this case is Blob Storage. Consider how many datasets that need to be ingested into our Data Lake (here our dataset will be a .csv file).
Verify that the files we need are available. (Here it is a .gz file) or not? If there Special Data is a file, get the metadata file of that file. Please check whether the amount of metadata matches the number of columns or not. If it does, copy it and delete the file from the source, which in this case is Blob Storage. Consider how many datasets that need to be ingested into our Data Lake (here our dataset will be a .csv file). Gen2 After friends have completed setting up the Environment and Create “ Azure blob storage” with “ Azure Data Lake Storage Gen2 ” according to step 2.1. In this topic, we will import data from “Azure blob storage” to “Azure Data Lake Storage Gen2” which is our data lake using Azure Data Factory^^ In this project we want to copy The .gz file data stored in Azure blob goes to the Azure data lake every time a file arrives. And after the data has been copied successfully Automatically delete .gz files in Azure blob To use Azure Data Factory, we should prepare 2 Datasets and 2 link services,
Set each for Azure Blob Storage and Azure Data Lake Gen2. Create a drag-drop Data Engineer project with Azure Data Factory (Part 2) Connect Azure Blob to Azure Data Lake Gen2: Source In calling our Pipeline, there will be the following details and steps. Verify that the files we need are available. (Here it is a .gz file) or not? If there is a file, get the metadata file of that file. Please check whether the amount of metadata matches the number of columns or not. If it does, copy it and delete the file from the source, which in this case is Blob Storage. Consider how many datasets that need to be ingested into our Data Lake (here our dataset will be a .csv file).
