Writing and reading data from Azure Data Lake Storage using Spark (Azure Databricks)
In this scenario, you create a Spark Batch Job using tAzureFSConfiguration and the Parquet components to write data on Azure Data Lake Storage and then read the data from Azure.
This scenario applies only to Talend products with Big Data.
For more technologies supported by Talend, see Talend components.
The sample data reads as
follows:
01;ychenThis data contains a user name and the ID number distributed to this user.
Note that the sample data is created for demonstration purposes only.
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