Miguel Escobar

Author Archives

  • Parameters and Functions in Power BI / Power Query–Custom Functions

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    Power Query has over 600 native functions and the Power Query team keeps adding more and more.

    I wouldn’t recommend memorizing them, but you do need to understand the concept of parameters and arguments in order to understand what functions are.

    In this blog post I’ll go over what Custom Functions are and how you can create them. Be sure to check out Part 1 of this series before reading this one.

    M Functions

  • Parameters and Functions in Power BI / Power Query – Main Concepts

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    Power Query or the Power BI Get Data Experience uses a functional language called M to perform its Data Preparation or Data Transformation processes.

    You can read this article to get to know more about Power Query and the M language, but in short, Power Query is the interface that assists you, through buttons and dialogs, to create the M code for you.

    Now, where would I see a function, an argument or a parameter in Power Query ?…and what are they? Let’s have a quick example to see them in real life.

  • The most important thing to learn when using Power BI

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    You’ve started OR you’re in the middle of your Power BI journey and you’re confused as to where you should allocate your learning time and efforts

    Should it be DAX? Understanding the visualizations? the M language? Power Query? Power Pivot?

    SOOOO many keywords that appear when doing a simple online search, but WHAT is the core of everything inside of Power BI?

    This article covers my thoughts on where you should primarily focus your efforts when learning Power BI – let’s find out what is the HEART of Power BI.

    After spending more than 6 years using the toolset and going through various iterations and stages of what we now know as Power BI, these are my own thoughts and what I’ve found works best for the people that I’ve trained over the years.

  • New and First Forum for Power BI, Power Pivot and Power Query in Spanish

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  • 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.