To build a simple data pipeline using Spark on OVHcloud, users must set up an OVHcloud account, enable Data Processing services, and configure Object Storage.
Uploading input data, such as a custData.csv file, to OVHcloud Object Storage is a key step before processing it with Scala and Spark.
Creating separate containers for input and output data in OVHcloud Object Storage is essential for organizing data workflows efficiently.
The sample Scala Spark job demonstrates how to initialize Spark, configure Hadoop for OVHcloud Object Storage, and process customer data.
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