Power BI Data Profiling
You know it and I know it. Data quality is a BIG problem that reduces the business value of BI. ETL practitioners will probably recall that SSIS includes a comprehensive […]
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But we are proud to say that Prologika - Teo Lachev contributed 1173 entries already.
You know it and I know it. Data quality is a BIG problem that reduces the business value of BI. ETL practitioners will probably recall that SSIS includes a comprehensive […]
What tool do you use for Analysis Services Tabular development? SSDT right, what else? Here is a little secret. I almost don’t use SSDT anymore, except for limited tasks, such […]
Microsoft introduced Azure Data Factory (ADF) in 2015 to handle a specific scenario: tumbling window loads for Hadoop and other big data systems for internal MS usage. Then a need […]
Want to know what Power BI features were released in a certain time period? Check out the Power BI Features report. After some delay, you should see the report embedded […]
How expensive is an xVelocity relationship? The answer depends on several factors, such as column cardinality, DAX calculations, and query itself. But it general, a relationship can add a significant […]
Kudos to all the hard working individuals that made SQL Saturday BI (Atlanta) a success! It was great meeting many BI fans.
Semantics relates to discovering the meaning of the message behind the words. In the context of data and BI, semantics represents the user’s perspective of data: how the end user […]
Struggling with DAX? Data Analysis Expressions (DAX) is the expression language of Power BI, Power Pivot, and Analysis Services Tabular. It’s very powerful but it’s usually perceived as complex and […]
SQL Saturday BI in Atlanta is around the corner. Prologika will deliver two sessions at this event on September 22nd: Bridge Analytics and Developer Worlds with Power BI and PowerApps by […]
Data Analysis Expressions (DAX) is the expression language of Power BI, Power Pivot, and Analysis Services Tabular. It’s very powerful but it’s perceived as complex, requiring a steep learning curve. […]