As a customer I want a clear life cycle policy for Spark versions so that I have latest Spark versions supported for my Data Processing jobs and notebooks as well as the most recent versions.
Acceptance criterias
A public documentation is published and described the lifecycle policy
The End of Support phase is described
The End of Life phase is described
For each Spark version supported, except the latest, an EoS and EoL date is specified
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User Story
As a customer I want a clear life cycle policy for Spark versions so that I have latest Spark versions supported for my Data Processing jobs and notebooks as well as the most recent versions.
Acceptance criterias
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Ask us anything here in the comments below, and vote with emojis ! 👍 to vote for this issue
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