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Data Engineering
Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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Forum Posts

Muhammad_Umer
by New Contributor
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Anonymous
Not applicable
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Hi @Muhammad Umer​ Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question. Thanks.

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niels
by New Contributor III
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Why is my Plotly graph squished?

fig = make_subplots(1,4) cols = ['OrderValue', 'TransactionPrice', 'ProductPrice', 'ProductUnits']     for i, col in enumerate(cols): fig.add_trace( go.Histogram(x=silver_df.select(col).toPandas()[col]), row=1, col=i+1 )   p =...

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Vidula
Honored Contributor
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Hey there @Niels Ota​ Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.T...

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Direo
by Contributor
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Resolved! Which cluster mode should I choose for most efficient graph modelling?

Is there a difference between cluster modes in this case? Can it be that Graphx would work better on single than on standart cluster or high concurrency cluster (for multiple users)? Does less concurrent cluster wourld be more efficient for graph mod...

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Anonymous
Not applicable
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@Direo Direo​ - What do you think of these answers? If either of them stands out as best, would you please mark it that way? If you have more questions, please, bring them on!

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Anonymous
by Not applicable
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Resolved! Anyone using RAPIDS and cuGraph on a current runtime?

We're in the process of migrating a large graph computation workload to nvidia RAPIDS + cuGraph for GPU acceleration. The package isn't a part of the base runtime and it is available by conda package management only, so can't be installed via init sc...

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Anonymous
Not applicable
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Thanks @Prabakar Ammeappin​ , we're looking at this. Strangely, the last commit removed the rapids libraries from the base cuda-images. We're adding them back in.

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