Tag Archives: Joins

  • Merge Operations in Power BI / Power Query – Part 6: Full Outer Join

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    This is the last post in the series! I highly encourage you to read Part 5 of this series before reading this one, but nevertheless, you can jump right in if you know the basics of Merge / Join Operations inside of Power BI / Power Query.

    We will be using the same sample data that we used in Part 5, but this time we’ll have a completely new goal which is probably one of the most frequent ones that I’ve had when Modelling data for Power BI.

    In this, Part 6, we’ll go over the Full Outer Join from a purely practical standpoint.

  • Merge Operations in Power BI / Power Query – Part 5: Inner Join

    image Similar to the previous posts in this series, I highly encourage you to read the first 4 Parts ( 1 | 2| 3 | 4 ) that I’ve published so far around Merge / Joins inside of Power BI / Power Query.

    So far I’ve covered:

    • Left Outer Join
    • Right Outer Join
    • Left Anti Join
    • Right Anti Join

    In this, Part 5, we’ll go over the Inner Join from a purely practical standpoint.

  • Merge Operations in Power BI / Power Query – Part 4: Right Anti Join

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    Similar to the previous posts in this series, I highly encourage you to read the first 3 Parts ( 1 | 2 | 3 ) that I’ve published so far around Merge / Joins inside of Power BI / Power Query.

    So far I’ve covered:

    • Left Outer Join
    • Right Outer Join
    • Left Anti Join

    In this, Part 4, we’ll go over the Right Anti Join from a purely practical standpoint.

  • Merge Operations in Power BI / Power Query – Part 3: Left Anti Join


    If you haven’t read Part 1 and Part 2 of this series, I highly recommend that you read those prior to this post.

    In those previous posts, we went over the Left Outer Join and Right Outer Joins. At this point we got the basics on how Joins / Merge operations work inside Power Query / Power BI. It’s time to get even more clever with the usage of Merge Operations.

    In this, Part 3, we’ll go over the Left Anti Join from a purely practical standpoint.

  • Merge Operations in Power BI / Power Query – Part 2: Right Outer Join

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    If you haven’t read Part 1 of this series, I highly recommend that you read that prior to this post.

    In that previous post, we went over the Left Outer Join and some basics on how Joins / Merge operations work inside Power Query / Power BI where the position of the table (first one or second one), the columns being used of the join and my desired goal (aggregation vs expand operation) all have an impact on the whole Merge experience.

    In this , Part 2, we’ll go over the Right Outer Join from a purely practical standpoint.

  • Merge Operations in Power BI / Power Query – Part 1: Left Outer Join

    If you’ve used Power Query or Power BI before, you’ve probably seen the “Merge” button which displays a window like the following:

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    and this let’s you join 2 tables (or queries), and one of the questions that I get pretty often is: “What’s up with all of those ‘Join Kinds’ ? when should I choose which one?”

    and that’s why I’m writing this series of blog posts around this specific topic from a purely practical standpoint so you can get a glimpse of what each one of those merge operations can bring to the table.

    In this, Part 1, we’ll start with the default join which is the Left Outer Join.