Freelance Business Intelligence Consultant with Microsoft technology. Author of Curso Power BI (Spanish)
Microsoft Partner in Power BI. Data Platform MVP
LinkedIn Learning Trainer
Lic. in Economic Cybernetics with Master in Economics, Moscow; 1988. Speaker at international events and Summits
Ana Maria Bisbe York's Sessions
Lets play with a date field & Time Intelligence in Power BISQLBits 2020
Date fields play an important role in virtually all cases of advanced analytics. The "problem & solution" style session can be very useful given the large number and variety of scenarios that may arise
Lets do the cleansing with M and / or Python languagesSQLBits 2020
This short session will cover some scenarios of cleansing data in Power Query using M, Python, or both languages.
Some transformations that can save your ETL in Power BISQLBits 2019
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.
Some transformations that can save your ETL in Power BISQLBits 2019
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.
Some transformations that can save your ETL in Power BISQLBits 2019
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.
Some transformations that can save your ETL in Power BISQLBits 2019
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.
Some transformations that can save your ETL in Power BISQLBits 2019
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.
Some transformations that can save your ETL in Power BISQLBits 2019
To build analytical models, we need to start by extracting, transforming, cleaning, preparing and loading the data. This session analyzes a set of scenarios that may happen during the ETL step using the Power Query in Power BI.