Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three DAX Time Intelligence functions related to the Start of Periods: STARTOFMONTH(), STARTOFQUARTER(), and STARTOFYEAR(). He discusses the syntax, uses and operation of each, and then provides hands-on exposure to the function in Power BI.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three similar DAX Time Intelligence functions related to Date: CLOSINGBALANCEMONTH(), CLOSINGBALANCEQUARTER(), and CLOSINGBALANCEYEAR(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
Business Intelligence Architect, Analysis Services Maestro, and author Bill Pearson introduces three similar DAX Time Intelligence functions related to Date: TOTALMTD(), TOTALQTD(), and TOTALMYD(). He discusses the syntax, uses and operation of each function, and then provides hands-on exposure to it in Power BI.
Learn how a C# script can easily load data from Excel into SQL Server.
Today Steve wonders if the technology for storage and data transfers has superseded the need for portable drives.
Aggregation is a widely used way to summarize the content of a database. It is usually expressed with GROUP BY clause or just using aggregate functions (like COUNT or SUM). When the database engine executes a query with aggregations, it produces individual rows need to compute the required output and then performs the aggregation as (almost) last step. We discuss in this article how to re-write a query manually so that the order of operations will be different and when it can be beneficial.
I really enjoy playing with radios [ed: we know, you won't shut up about it]. Something as simple as checking in to a local net (basically saying hi to a bunch of people on the radio) is fun. However, there's so much more to it. In the last few weeks I've been testing a new […]
A cloud version of Aurora MySQL has added support for the buffer pool to survive restarts of the database engine. Steve thinks that's an interesting technology, which could be helpful.
Learn how you can handle dimensional modeling in a data warehouse when your data uses different categorization for ages.
Nearly a decade ago, I wrote a post called “Bad habits : Counting rows the hard way.” In that post, I talked about how we can use SQL Server’s metadata to instantly retrieve the row count for a table.
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
Comments posted to this topic are about the item Data Modeling with dbt for...
Comments posted to this topic are about the item Data Modeling with dbt for...
I have some data in a table that looks like this:
BeerID BeerName brewer beerdescription 1 Becks Interbrew Beck's is a German-style pilsner beer 2 Fat Tire New Belgium Toasty malt, gentle sweetness, flash of fresh hop bitterness. 3 Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste 4 Alaskan Amber Alaskan Brewing Alaskan Brewing Amber Ale is an "alt" style beer 8 Kirin Kirin Brewing Kirin Ichiban is a Lager-type beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers