Mincing Data - Gain insight from data

This site will be a container for all my musings about the analytical pipeline.

For this reason it will be necessary to define the Analytical Pipeline (at least define this pipeline from my point of view). From a general perspective (be aware that this is my perspective) five activities are necessary to build an analytical pipeline, these steps are

source

ingest

process

store

deliver


 The overall goal of an analytical pipeline is to answer an analytical question. To achieve this overall goal, different data sources have to be targeted and their data has to be ingested into the pipeline and properly processed. During these first steps the data ingested into the pipeline often has to be stored in one or more different data stores, each is used or its special type of usage, finally the result of the data processing has to be delivered to its users, its audience. Depending on the nature of the question, different types of processing methods and also different data stores may be used along the flow of the data throughout the pipeline.

 

I put a direction to these activities, but I also added this direction to spur your critical mind, because

  • source data is of course also stored somewhere
  • to target the source can become a challenge in the pipeline
  • to deliver processed data to the its audience can become a another challenge  if you try to deliver to mobile workforce
Successfully ingested data often gets processed more than once to answer different questions, and during its existence (inside an analytical data platform) this data will be transformed into various shapes, wrangled by different algorithms, and ingested into different "data stores".

For this reason I believe that these activities are tightly related, and the above mentioned sequence of these activities will just aid as a guidance.

 

I will use blog posts to describe how different activities are combined to answer analytical questions. In most of my upcoming blog posts I will link to different topics from the activities used in the pipeline. Each activity has its own menu and is by itself representing an essential part in analytical pipeline.

 

Hopefully this site will help its readers as much as it helps me to focus on each activity always knowing that most of the time more than one activity has to be mastered to find an answer to an analytical question.


Power BI Premium Per User - How to buy

Here I will describe how to buy a brand new SKU, namely the Power BI Premium Per User Add-on.

This SKU can be used to upgrade existing Power BI Pro licenses, either if you purchased a Pro license separately or together with an M365 E5 subscription, if you want to unlock new capabilities.

The purchase is rather simple, just go to the M365 Admin portal purchase the necessary number of licenses and assign the Add-on to existing users that already have a Power BI Pro license assigned.

 

BE AWARE (1), after upgrading an existing workspace (V2) to a Premium Per User workspace, content can be accessed by users that have a Premium Per User SKU assigned (there is no special notice that the capabilities are based on Pro + Add-on or the Premium Per User SKU. A Pro license is no longer sufficient to access content inside a Premium Per User workspace.

 

BE AWARE (2), maybe the product is not available in your tenant, simply try a little later

Visit the M365 Admin center

Visit the Microsoft 365 Admin Center, Select Purchase Services, Search for Power BI, Select Details 

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