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bigdata
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The current azure-pipelines.yaml is highly duplicated, especially the Test stages (E2E Tests, E2E Backward Compatibility Tests, and E2E Forward Compatibility Tests).
This should be refactored to remove duplication to make it easy to maintain (e.g, adding a new Spark version to test against).
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Dear all,
Since we received some complaint and feedback about volcano documentation, we have worked for about two weeks to update the website, especially documentation. Our goal is to "make newer start volcano without difficulty". Although we've tried our best to make everything easy, there still must be something to be optimized. We are honored to invite you to join and help us.
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Describe the ideal solution
We need a new endpoint that functions as getIntegrationById endpoint.
Describe your use cases
We currently fetching all integration via appsync (or more specifically a sub-category of integrations based on integrationType) and iterate until we find one that matches the integrationId passed.
How frequently would you use such feature
Although, we
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Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu