[05/Deseado/05]
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What is one of the workarounds to achieve similar results to cross-dataset joins in Flow.BI?

  • Running queries directly against the Flow.BI repository
  • Utilizing cross-database joins
  • Creating virtual datasets using SQL queries (correct)
  • Using physical datasets for data combination

    • Why are cross-dataset joins not currently supported in Flow.BI?

  • Security concerns (correct)
  • Data compatibility issues
  • Performance concerns
  • Lack of user demand

    • What is the purpose of creating a third virtual dataset in Flow.BI?

  • To apply security measures to the data
  • To join two separate virtual datasets (correct)
  • To visualize the data sources separately
  • To combine all the data sources directly

    • What is the main advantage of using virtual datasets in Flow.BI?

    <p>Combining data from multiple sources (C)</p> Signup and view all the answers

    Which type of dataset is recommended for achieving a cross-dataset join in Flow.BI?

    <p>Virtual dataset created using SQL queries (C)</p> Signup and view all the answers

    How can virtual datasets be used after combining data from multiple sources?

    <p>To create charts, dashboards, and reports (A)</p> Signup and view all the answers

    What is the recommended approach for joining datasets inside a SQL query for a virtual dataset in Flow.BI?

    <p>Always join inside the SQL query for a virtual dataset (A)</p> Signup and view all the answers

    Cross-dataset joins are currently supported in Flow.BI.

    <p>False (B)</p> Signup and view all the answers

    Virtual datasets in Flow.BI are created using SQL queries.

    <p>True (A)</p> Signup and view all the answers

    Creating a third virtual dataset to join two virtual datasets together is the only workaround for achieving a cross-dataset join in Flow.BI.

    <p>False (B)</p> Signup and view all the answers

    It is recommended to join inside the SQL query for a virtual dataset in Flow.BI.

    <p>True (A)</p> Signup and view all the answers

    Charts, dashboards, and reports can be created directly using the separate virtual datasets without the need for a third virtual dataset.

    <p>False (B)</p> Signup and view all the answers

    Physical datasets are recommended for achieving a cross-dataset join in Flow.BI.

    <p>False (B)</p> Signup and view all the answers

    One of the advantages of using virtual datasets in Flow.BI is the ability to combine data from multiple sources into a single dataset.

    <p>True (A)</p> Signup and view all the answers

    Match the following terms with their correct descriptions in Flow.BI:

    <p>Virtual datasets = Datasets created using SQL queries Cross-dataset joins = Currently not supported due to security concerns Separate virtual datasets = Created for each data source Third virtual dataset = Joins the two virtual datasets together</p> Signup and view all the answers

    Match the following steps with their correct actions for achieving a cross-dataset join in Flow.BI:

    <p>Create a virtual dataset for each data source = First step to combine data from multiple sources Create a third virtual dataset = Joins the two virtual datasets together Join the table data and the column data on the table name column = Example of joining in the third virtual dataset Use the third virtual dataset to create charts, dashboards, and reports = Final step after creating separate virtual datasets</p> Signup and view all the answers

    Match the following statements with their correct implications about virtual datasets in Flow.BI:

    <p>Charts, dashboards, and reports can be created directly using the separate virtual datasets without the need for a third virtual dataset. = Advantage of using virtual datasets One of the workarounds to achieve similar results to cross-dataset joins in Flow.BI. = Using virtual datasets to combine data from multiple sources Virtual datasets in Flow.BI are created using SQL queries. = How virtual datasets are created Creating a third virtual dataset to join two virtual datasets together is the only workaround for achieving a cross-dataset join in Flow.BI. = Workaround for cross-dataset joins</p> Signup and view all the answers

    Match the following recommendations with their correct guidelines for cross-dataset joins in Flow.BI:

    <p>It is recommended to join inside the SQL query for a virtual dataset in Flow.BI. = Recommended approach for joining datasets inside a SQL query Always join inside the SQL query for a virtual dataset. = Guideline for joining in a virtual dataset Physical datasets are recommended for achieving a cross-dataset join in Flow.BI. = Incorrect recommendation for cross-dataset joins Cross-dataset joins are currently not supported due to security concerns. = Reason why cross-dataset joins are not currently supported</p> Signup and view all the answers

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