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Lumenore Community Latest Questions

I’m working with multiple ETL workflows where some jobs depend on the successful completion of others. If one upstream job fails, it sometimes causes cascading failures in downstream processes. What’s the best way in Lumenore to manage dependencies, implement proper ...Read more

I’m working with multiple ETL workflows where some jobs depend on the successful completion of others. If one upstream job fails, it sometimes causes cascading failures in downstream processes. What’s the best way in Lumenore to manage dependencies, implement proper failure handling, and ensure stability across interconnected ETL workflows?

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I want to perform transformations like aggregations, pivot and data cleaning in the data imported in the self service module as datasets. What are the functions available ?

I want to perform transformations like aggregations, pivot and data cleaning in the data imported in the self service module as datasets. What are the functions available ?

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Can I execute jobs/graphs built in data magnet through external triggers like event based triggers/ cloud functions or sdk’s? Can I utilise these jobs as executables that can be invoked externally?

Can I execute jobs/graphs built in data magnet through external triggers like event based triggers/ cloud functions or sdk’s? Can I utilise these jobs as executables that can be invoked externally?

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While transforming data in ETL, I’m encountering null values across key fields and measures. I’d like to understand the best strategy to handle nulls  without distorting KPIs or impacting downstream dashboards. What’s the recommended approach in Lumenore to manage null ...Read more

While transforming data in ETL, I’m encountering null values across key fields and measures. I’d like to understand the best strategy to handle nulls  without distorting KPIs or impacting downstream dashboards. What’s the recommended approach in Lumenore to manage null values effectively during transformation?

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I’m facing occasional schema changes in source systems (like new/renamed columns or datatype updates) that sometimes break ETL pipelines. What’s the recommended way in Lumenore to handle schema changes gracefully and prevent downstream failures while keeping reports stable?

I’m facing occasional schema changes in source systems (like new/renamed columns or datatype updates) that sometimes break ETL pipelines. What’s the recommended way in Lumenore to handle schema changes gracefully and prevent downstream failures while keeping reports stable?

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