Refreshing Power BI Datasets from SSIS
Scenario: You use SSIS to load data for on-prem BI solution. As a last step of the ETL pipeline, you want to refresh a Power BI dataset. There’s quite a […]
Author Archive for: Prologika
Entries by Prologika - Teo Lachev
Atlanta MS BI and Power BI Group Meeting on September 12th (Incremental Refresh and Hybrid Tables in Power BI)
Please join us online for the next Atlanta MS BI and Power BI Group meeting on Monday, September 12th, at 6:30 PM ET. Shabnam Watson (Microsoft MVP) will discuss how […]
Not Your Kimball’s DW
BI practitioners, myself included, have been following the Kimbal tenets for dimensional schema design for years. In fact, it’s a second nature to dimensionalize every BI project the “proper” way. […]
Atlanta MS BI and Power BI Group Meeting on August 1st (Power BI Automation)
Please join us online for the next Atlanta MS BI and Power BI Group meeting on Monday, August 1st, at 6:30 PM ET. We’ll have two presentations by 3Cloud. For […]
Datasets vs Datamarts
I sent a proposal for implementing a classic BI solution: Azure SQL-based datamart (not Power BI datamart please), ETL, semantic model, and reports. The client had a sticker shock. Return […]
Atlanta MS BI and Power BI Group Meeting on July 11th (Pushing the Query Folding limits with Power Query)
Please join us online for the next Atlanta MS BI and Power BI Group meeting on Monday, July 11th, at 6:30 PM ET. For more details and sign up, visit […]
Prologika Newsletter Summer 2022
The workhorse of any modern BI solution is the semantic model that provides unparallel performance and contains business logic and security roles. Microsoft BI gives us three options to host […]
Power BI Field Parameters
Coming back from a long vacation and I almost missed this new Power BI killer feature: Field Parameters! Not to be confused with Dynamic M Query Parameters that I ranted […]
Power BI Datamarts: the Good, the Bad, and the Ugly
As Microsoft announced here, Power BI datamarts are upon us. I can almost see an important enterprise client demanding “self-service datamarts me now or else… “, thus inspiring an opportunity […]
A Case for Azure Analysis Services
Microsoft BI practitioners have three options for hosting semantic models: SSAS (on prem), Azure Analysis Services (cloud), and Power BI (cloud). AAS is somewhat caught between a rock and a […]
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Prologika is a boutique consulting firm that specializes in Business Intelligence consulting and training. Our mission is to help organizations make sense of data by applying effectively BI technologies.
