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Author: Kevin Feasel

Multi-Developer Power BI Development

Published 2022-08-08 by Kevin Feasel

Reza Rad architects a solution for multiple developers working on a Power BI project:

Before I start explaining the architecture, it is important to understand the challenge and think about how to solve it. The default usage of Power BI involves getting data imported into the Power BI data model and then visualizing it. Although there are other modes and other connection types, however, the import data is the most popular option. However, there are some challenges in a model and a PBIX file with everything in one file. Here are some;

– Multiple developers cannot work on one PBIX file at the same time. Multi-Developer issue.

– Integrating the single PBIX file with another application or dataset would be very hard. High Maintenance issue.

– All data transformations are happening inside the model, and the refresh time would be slower.

– The only way to expand visualization would be by adding pages to the model, and you will end up with hundreds of pages after some time.

– Every change, even a small change in the visualization, means deploying the entire model.

– Creating a separate Power BI file with some parts it referencing from this model would not be possible; as a result, you would need to make a lot of duplicates and high maintenance issues again.

– If you want to re-use some of the tables and calculations of this file in other files in the future, it won’t be easy to maintain when everything is in one file.

– And many other issues.

After laying out all of the challenges, Reza puts together a plan to resolve them.

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Updates to AzureDevOps-AzureSQLDatabase Repo

Published 2022-08-08 by Kevin Feasel

Kevin Chant updates a repo:

In this post I want to cover some significant updates to an Azure SQL Database repository that I have been doing for one of the public GitHub repositories that I share.

Due to the fact that I have updated the AzureDevOps-AzureSQLDatabase repository. Which contains an example of a SQL Server database project that you can use to perform CI/CD on an Azure SQL Database using Azure DevOps.

It does this by using the popular state-based migration method of creating a dacpac file based on the contents of a database project. From there, the dacpac file can be used to update one or more databases.

Click through for those updates.

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Power BI Enhanced Refresh API and Custom Connectors

Published 2022-08-08 by Kevin Feasel

Chris Webb starts a new series:

I love the new Power BI Enhanced Refresh API: it allows you to do things like refresh individual tables in your dataset, override incremental refresh policies, control the amount of parallelism, cancel refreshes and a lot more, while being easier to use than the XMLA Endpoint. However, like the XMLA Endpoint, one problem remains: how can you schedule a dataset refresh using it? One option is to create a custom connector for Power Automate (similar to what I described here for the Export API, before the Power BI export actions for Power Automate had been released): this not only allows you to schedule more complex refreshes but also gives you more flexibility over scheduling and do things like send emails if refreshes fail.

Read on for a link to an in-depth guide on creating a custom connector as well as a few notes on the topic.

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Improvements to GENERATE_SERIES

Published 2022-08-08 by Kevin Feasel

Erik Darling notes some improvements:

With the release of CTP 2.1, the problems that we saw the first time around are all gone. But there are still a couple small caveats that you should be aware of.

There’s also been a change in the way you call the function, too. You not longer need the START and STOP identifiers in the function.

There are still some limitations but it does look like the function is considerably better in CTP 2.1.

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Security Practices for Delta Sharing

Published 2022-08-05 by Kevin Feasel

Andrew Weaver, et al, share some advice:

When you enable Delta Sharing, you configure the token lifetime for recipient credentials. If you set the token lifetime to 0, recipient tokens never expire.

Setting the appropriate token lifetime is critically important for regulatory, compliance and reputational standpoint. Having a token that never expires is a huge risk; therefore, it is recommended using short-lived tokens as best practice. It is far easier to grant a new token to a recipient whose token has expired than it is to investigate the use of a token whose lifetime has been improperly set.

Click through for eight such tips.

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Azure Databricks Initialization Scripts

Published 2022-08-05 by Kevin Feasel

Alex Crampton explains how initialization scripts work in Azure Databricks:

This blog will demonstrate the use of cluster-scoped initialisation scripts for Azure Databricks. An example will run through how to configure an initialisation script to install libraries on to a cluster that are not included in the Azure Databricks runtime environment. It will cover how to do this firstly using the Databricks UI, followed by how to include it in your CI/CD solutions.

Read on for some examples.

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Z-Ordering with Apache Impala

Published 2022-08-05 by Kevin Feasel

Zoltan Borok-Nagy and Norbert Luksa show off a performance improvement in Apache Impala:

So we’ll have great search capabilities against the partition columns plus one data column (which drives the ordering in the data files). With our sample schema above, this means we could specify a SORT BY “platform” to enable fast analysis of all Android or iOS users. But what if we wanted to understand how well version 5.16 of our app is doing across platforms and countries?

Can we do more? It turns out that we can. There are exotic orderings out there that can also sort data by multiple columns. In this post, we will describe how Z-order allows ordering of multidimensional data (multiple columns) with the help of a space-filling curve. This ordering enables us to efficiently search against more columns. More on that later.

It looks like a really good technique for nearly-static data, sort of like you’d see with a data warehouse which refreshes once a day.

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Databricks Extension for VSCode at 1.0

Published 2022-08-05 by Kevin Feasel

Gerhard Brueckl shares the good news:

As you probably know from my previous posts, my colleagues at paiqo.com and I are constantly working to improve our VSCode extension for Databricks. Almost every month we silently release a new version to the VSCode gallery so you get the latest features. However, as this is a special release, I am also writing a dedicated blog post for it

There’s a lot of cool stuff in here, so check it out.

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Apache eCharts for Python

Published 2022-08-05 by Kevin Feasel

Mark LItwintschik looks at another charting library:

The Apache eCharts project is a web-based charting library. It was started in 2013 and built using 77.5K lines of TypeScript. It is well documented and has over 200 examples of its API’s usage. The examples allow you to toggle between light/dark mode and there is a cheat sheet and a theme builder with several tasteful presents to choose from.

This is a library I hadn’t heard of before but Mark shows it off a bit.

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PSWorkItems: Powershell TODOs

Published 2022-08-05 by Kevin Feasel

Jeffrey Hicks has a new module:

I spend my working days living in a PowerShell console. Over the years, I’ve developed many PowerShell modules to help me manage the chaos that is my work life. One area that always demands attention is managing my tasks and To-Dos. For several years I have been using the MyTasks module. This module stored tasks and supporting information in a set of XML files. The code in the module treated the XML files as databases. I was trying to avoid a dependency on a SQL Server Express installation with the idea that would be overkill.

ln the meantime, I finally got around to finishing and publishing the MySQLite PowerShell module. This module has a set of PowerShell functions designed to simplify working with SQLite database files. This type of database has a much smaller footprint than SQL Server Express and would streamline my task management.

Click through to see how it works.

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