Conclusion of Migrating AAS to PPU | Part 11
This is my final post and conclusion in my blog series to look at migrating from AAS to PPU. I have really enjoyed the series and I have learnt a lot along the way, I hope you enjoyed following along! Conclusion Below is my outcome for each blog series, you can also click on the link if you want to…
Costs – Part 10 | Migrating from AAS to PPU
One of the most important aspects when looking to migrate from AAS to PPU is what will costs be. This plays an important part in the decision. In this blog post instead of doing an AAS and PPU comparison I am going to do this side by side, which I feel will make it easier to compare. In my opinion…
Row Level Security – Part 9 | Migrating AAS to PPU
In this blog post I am going to cover how to implement Row Level Security (RSL) when using AAS and how this can be done on PPU. In my example below I am going to show creating to simple RLS roles which will limit data for the users who belong to 2 roles. Role 1 – USA This role is…
Deployments – Part 8 Migrating from AAS to PPU
Welcome to part 8, where in this blog post, I am going compare deploying datasets. For those people who are not exactly sure what deployments are, what this means is when you are using Power BI Desktop and you click on Publish, you are effectively deploying your changes to the Power BI Service (Which could also be a server in…
Modelling – Part 7 | Migration from AAS to PPU
In this blog post I am going to show the differences when creating a model/dataset when completing the same task in Azure Analysis Services (AAS) or Power BI Premium Per User (PPU) Here are the previous 6 blog posts that I have completed in the series. 1 – Query Performance – Part 1 Migrating Azure Analysis Services to Power BI…
Logging (Datasets, users & query performance) – Part 6 – Migration AAS to PPU
Another important aspect when having datasets is being able to log and monitor performance. In this blog post I am going to compare the logging between Azure Analysis Services (AAS) and Power BI Premium Per User (PPU). With the recent release of PPU having integration with Log Analytics it makes it a lot easier to compare the logging options between…
Historical Data Loading – Part 5 – Migrating AAS to PPU
In this blog post I am looking at how to load or reload historical data in AAS and PPU and compare the differences. It should already be noted that I am only going to compare tables where I have partitions created and enabled. The reason being for dimension tables it is typically quick and easy to reload the data by…
Incremental Refreshing – Part 4 – Migrating AAS to PPU
Welcome to the fourth instalment of my series on migrating AAS to PPU. In this blog post I am going to cover the differences, and pros and cons to incremental refreshing when migrating from AAS to PPU. The reason for incremental refreshing is that I do not have to reload the entire fact table every day when new data arrives….
Data Loading – Part 3 | Migrating AAS to PPU
Welcome to the third instalment of my series on migrating AAS to PPU. In this blog post I am going to cover what the difference to load data into AAS and how to load data into PPU and the associated performance. Here are the previous 2 parts I have completed in the series. 1 – Query Performance – Part 1…
Scalability – Part 2 Migrating AAS to PPU
Thanks for reading and welcome to part 2 of my series on migrating AAS (Azure Analysis Services) to PPU (Power BI Premium per User) If you missed the first part of the series here is the link here: Query Performance – Part 1 Migrating Azure Analysis Services to Power BI Premium Per User – Reporting/Analytics Made easy with FourMoo and…