2016-10-27
983 reads
2016-10-27
983 reads
Continuing his examination of the evolving DAX “Function / Iterator Pairs,” Business Intelligence Architect, Analysis Services Maestro, Microsoft Data Platform MVP and author Bill Pearson introduces the DAX Concatenate() and ConcatenateX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to Concatenate() and ConcatenateX(), in joining two text strings into a single text string, and in returning the concatenation of an expression evaluated for each row in a table, respectively.
2022-04-04 (first published: 2016-09-21)
5,124 reads
Power BI allows you to connect directly to the data just as if it were a “standard” connection, and modify and extend the data to support analytics. By using DirectQuery, you can build reports based on extremely large datasets where re-importing data not a practical solution. It also allows you to do data aggregations on the server. There are, of course, restrictions as well but it is nevertheless a worthwhile technique to use where appropriate. Adam Aspin explains all.
2016-09-13
4,392 reads
In this demo, we will give an introduction from 0 about Power BI and how to connect to Azure SQL Databases and Google Analytics
2016-07-05
1,284 reads
In this article I want to provide an introduction to the vital set of functions that help you to use a time element when analyzing data
2017-10-27 (first published: 2016-06-06)
5,788 reads
Power BI is as extensible as it is powerful In this article you will see how to impress your users with added visuals
2016-05-31
5,823 reads
In this article I would like to introduce you to PowerBI.Com to see how to share analyses in the cloud using SQL Server data
2016-05-23
1,162 reads
As a part of his “Function / Iterator Pairs” mini-series, Business Intelligence architect, Analysis Services Maestro, and author Bill Pearson introduces the DAX Product()and ProductX() functions, discussing the syntax, uses and operation of each. He then provides hands-on exposure to Product()and ProductX(), respectively, in returning the product of numbers in a column and in returning the product of an expression evaluated for each row in a table.
2022-04-04 (first published: 2016-03-17)
4,869 reads
This paper describes best practices for security, networking, and component architecture for building a hybrid business intelligence (BI) environment by using a combination of Microsoft Office 365, Microsoft Azure, and on-premises data sources. Many organizations are taking advantage of the benefits of cloud computing such as lower capital expenditures and increased agility, while still maintaining data in on-premises data stores.
2015-10-28
2,633 reads
I have heard the new Power BI Desktop can screen scrape data off websites; how does that process work?
2015-10-12
3,473 reads
By Steve Jones
Thanks to everyone that came to my talks. Slides are below. Best Practices for...
By Steve Jones
I can’t remember how I heard about Small Data SF 2024, but it caught...
By Steve Jones
moledro – n. a feeling of resonant connection with an author or artist you’ll...
Comments posted to this topic are about the item 7 sept, scheduled book
Comments posted to this topic are about the item 7 sept, schedlued article
Comments posted to this topic are about the item 6 sept, published book
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