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Typo "Azure blob storage"→"Azure Blob Storage"

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https://github.com/microsoft/sql-server-samples/blob/master/samples/databases/contoso-data-warehouse/load-contoso-data-warehouse-to-sql-data-warehouse.sql
#PingMSFTDocs
This commit is contained in:
Hiroshi Yoshioka
2022-01-14 12:15:14 +09:00
committed by GitHub
parent 8b83cc07bb
commit f29d09fb09
1 changed files with 5 additions and 5 deletions
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samples/databases/contoso-data-warehouse/load-contoso-data-warehouse-to-sql-data-warehouse.sql
+5 -5
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@@ -1,5 +1,5 @@
-- Use PolyBase to load public data from Azure blob storage into the Contoso Retail Data Warehouse schema.
-- Use PolyBase to load public data from Azure Blob Storage into the Contoso Retail Data Warehouse schema.
--
-- This script:
--
@@ -18,7 +18,7 @@
-- Create an external data source
-- TYPE: HADOOP - PolyBase uses Hadoop APIs to access data in Azure blob storage.
-- TYPE: HADOOP - PolyBase uses Hadoop APIs to access data in Azure Blob Storage.
-- LOCATION: Provide Azure storage account name and blob container name.
-- CREDENTIAL: Provide the credential created in the previous step.
@@ -30,7 +30,7 @@ WITH
);
GO
-- The data is stored in text files in Azure blob storage, and each field is separated with a delimiter.
-- The data is stored in text files in Azure Blob Storage, and each field is separated with a delimiter.
-- Run this [CREATE EXTERNAL FILE FORMAT][] command to specify the format of the data in the text files.
-- he Contoso data is uncompressed and pipe delimited.
@@ -52,7 +52,7 @@ GO
-- Now let's create the external tables. All we are doing here is defining column names and data types,
-- and binding them to the location and format of the Azure blob storage files. The location is the folder
-- and binding them to the location and format of the Azure Blob Storage files. The location is the folder
-- under the root directory of the Azure Storage Blob.
--DimAccount
@@ -779,7 +779,7 @@ WITH
-- Load the data with CTAS
--
-- The easiest and most efficient way to load data from Azure blob storage is to usu
-- The easiest and most efficient way to load data from Azure Blob Storage is to usu
-- Create Table As Select (CTAS). Loading with CTAS leverages the strongly typed
-- external tables you have just created.