Tag Archives: power query

  • 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.

  • Clever Filters in Power BI / Power Query with Merge Operations

    Power BI Clever Filters

    Have you ever wanted to do a specific type of filter that might be too specific to do with just the regular filter drop down or even the advanced filter operations in Excel?

    Let me give you an example of one of those scenarios. Imagine that you have a table like the following:

  • Extracting Header and Footer Values from Documents, Files using Power BI + Using PDF Connector

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    Have you ever had a similar situation where a REALLY important value of the file is in either a header or a footer section? Let me give you a clear example with the following file:

    SNAGHTML18603940

    In the image above you’ll see that we have 2 values in the header section right under the logo of my company. Now, this is a PDF file, so we’ll connect to that PDF file, get the data underneath those header values (which is basically a table) and then create a new column specifically for the value of the Sales Group. You can imagine that I have a bunch of PDF files in a folder and each of those PDF files is for a specific Sales Group, so I need to have that value as a new column.

  • Custom Connectors & we’re the Power BI leading pioneers in Panama

    A couple of things have happened within the last few days. In short:

    • We have a new promo video
    • We published 3 Data Stories to the Power BI data stories gallery
    • Our Partner Showcase solution has been approved and published on the official Power BI website

    That’s A LOT of info to digest, but let’s get right into it.

  • UPDATE: 2nd edition of ‘M is for Data Monkey’

    DataMonkeyCover

    As you may already know, Ken Puls and myself wrote a book called ‘M is for Data Monkey’ almost 3 years ago and we’ve been working thoroughly on the 2nd edition of that to keep the content up to date and relevant.

    We’ve got some news to share with you guys about the development of this book and when it’ll arrive to your favorite book store. Before we get into the this, we would like to cover some aspects as to why it has taken us so far to release this book.

  • Improved Web Scraping Experience in Power BI

    A lot of things have happened in the last couple of days. I’m for the first time in my life in Seattle spending some quality time with people that I’ve never met in my life other than through the power of the internet. It’s a nice feeling to finally put a face to a name that you always see on your inbox.

    I’ll be speaking later today, but I had to get this post out to the world as soon as possible.

    I’ve covered the new Web Scraping experience before in here, and talking with the product team today at the Business Applications Summit they (Ehren specifically) told me that they just updated and improved the experience, so he showed me a demo and I took home my homework so I could implement what he showed me on my own dataset

    What’s new

  • RETRY recursive function in Power BI & Power Query

    Recursive functions are a topic that I rarely come across.

    To give you some perspective, the instances that I’ve needed recursive functions can be counted with just 1 hand.

    This is one of those situations where a recursive function is probably the best way to go.

    Big thanks to NicoPer who posted this question on the Official Microsoft Power Query forum.

  • Navigation Window / Folder in Power Query and Power BI

    Motivated by one of the latest videos from the MSFT guys behind Guy in a cube:

    where they talk about one of the hidden secrets behind Power Query / Power BI, I wanted to talk about another one of those hidden gems inside Power Query / Power BI that is not completely visible or intuitive for most folks when they start using the tool.

  • New Web Scraping experience in Power BI / Power Query (Using CSS Selectors)

    The latest version of Power BI Desktop came out with a new Web Connector specifically designed for Web Scraping Scenarios. in this blog post I’ll try to go deep into how this new experience works and how you can take advantage of it.

    Before we move forward, you’re gonna need the latest version of Power BI Desktop (May 2018 for me) and also enable the Preview feature in the Options window:

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    My Scenario: Get Data From Amazon

    I want to find out how many books are out there that have anything to do with Power Query. I want the reviews that go with them, the name of the authors, when they were released and, of course, the names of these books.

    The best place to find this information is probably Amazon. So I went on Amazon and did a quick search using the keywords “power query”.

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