I am presenting an MS Excel VBA project which automates the display of SQL Server data tables.
One of the truisms of the modern data-driven world is that the velocity and volume of data keeps increasing. We’re seeing more data generated each day than ever before in human history. And nowhere is this rapid growth more evident than in the world of social media, where users generate content at a scale previously unimaginable.
Data can be valuable, and there's a new book that compares the value of data today to that of oil in the previous century. Steve Jones has a few thoughts on why we should consider this to be the case.
In part 1, we described the requirements for calculating attrition and also demonstrated one method that doesn’t rely on writing DAX code at all. In the second part of this tip, we introduce alternative methods of creating a calculation in DAX to calculate the number of employees that have left the company.
Covering indexes help UPDATE performance also
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In many businesses, the HR department needs reports on the employee attrition. This is the number of people that leave the company (depending on the reason they leave; the terminology can also be dismissals or turnover). Suppose you have a table with your employee data, where you also store a possible termination date. How do you calculate the number of people who have left the company using the DAX query language?
A tip to auto detect data types for flat file sources in SSIS. Never manually enter them ever again!
Disappointment is hard, but you get to choose how you react to it.
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What are the distance metric algorithms that can be used in VECTOR_DISTANCE()?
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