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Update decision-guide-data-store.md #833

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ArmandoLacerda
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Better describe the choice of data engine, not just storage, since storage is always OneLake.

This page in its original content implies that data can be stored in different places. As we know, data is preferably stored in delta parquet format. The Spark backed Lakehouse support expose folders and their unstructured or semi-structured files as the data engine (Spark) support these data file formats.

It is evident to me that choosing either Lakehouse or Warehouse is a choice of data engine and their features. The same applies to Event House. In fact it is more evident when we consider Event House, when it reads in its documentation page (https://learn.microsoft.com/en-us/fabric/real-time-intelligence/eventhouse) "Event houses are the preferred engine for semi structured and free text analysis ."

As for Power BI Datamart, it is not a Fabric offering. Rather it is a Power BI feature. Granted it requires a premium subscription, which is equivalent to a Fabric capacity, but it is from before Fabric offering. It is not a special SQL edition like SQL MI and not even a special option in the copy activity or Dataflow Gen2.

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Better describe the choice of data engine, not just storage, since storage is always OneLake.
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Learn Build status updates of commit ea7c276:

✅ Validation status: passed

File Status Preview URL Details
docs/get-started/decision-guide-data-store.md ✅Succeeded

For more details, please refer to the build report.

For any questions, please:

@ArmandoLacerda
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ArmandoLacerda commented Jun 6, 2024 via email

@ArmandoLacerda
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ArmandoLacerda commented Jun 6, 2024 via email

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@ArmandoLacerda : Thanks for your contribution! The author(s) have been notified to review your proposed change.

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Court72 commented Jun 6, 2024

@bradleyschacht

Can you review this PR? Sign off or approve if you accept the changes.

Note: To sign off, add a #sign-off comment to the PR.

#label:"aq-pr-triaged"
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