22-25 April 2026 
Ana Maria Bisbe York
Ana María is a data professional with over 35 years of experience in the software industry and extensive experience in both training and projects in data modeling and analysis with Microsoft technologies such as SQL, Power BI, and Fabric for advanced analytics.
She created more than 40 courses on Power BI, Analytics, and Microsoft Fabric for LinkedIn Learning and wrote three books. All this content was produced in Spanish.
She shares knowledge and experiences and promotes the visibility of female talent in technology.
You can find her in forums and international events and congresses in Spain, many European countries, LATAM, and the United States, as a speaker, organizer, or attendee, and also online on her Twitter account (ambynet), on LinkedIn (https://www.linkedin.com/in/ambynet/) or her technical blog at AMBY.NET (https://amby.net/), which he has maintained for more than 25 years.
Ana Maria Bisbe York's Sessions
Let's define Entities and attributes for tabular models in 20 minutes.SQLBits 2024
Examples from real-life projects that demonstrate the issue and improve the design of entities for the tabular models.
Ask the Expert - Group A (Wed 11:10 to 13:00)SQLBits 2024
Come and see to some of our amazing speakers on one of these topics:
1. SQL and Databases:
2. Microsoft Fabric and Related Technologies:
3. Power BI and Data Visualization:
4. Azure and Cloud Technologies:
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.
Querying data and metadata with T-SQL, M and DAXSQLBits 2026
Let's have fun, HappyQuerying data using T-SQL, M, and DAX.
SQL Fabric, the perfect combination of experience and youthSQLBits 2026
Have fun working with T-SQL in the Microsoft Fabric environment.
Let's define Entities and attributes for tabular models in 20 minutes.SQLBits 2024
Examples from real-life projects that demonstrate the issue and improve the design of entities for the tabular models.
Ask the Expert - Group A (Wed 11:10 to 13:00)SQLBits 2024
Come and see to some of our amazing speakers on one of these topics:
1. SQL and Databases:
2. Microsoft Fabric and Related Technologies:
3. Power BI and Data Visualization:
4. Azure and Cloud Technologies:
Getting closer at the anomaly detection in the dataSQLBits 2022
Today it is essential to identify data behavior patterns and detect changes and anomalies in them. Join me in this session, where we will see what anomalies are, why anomaly detection is essential, and how we could detect them. We will analyze various techniques and compare the pros and cons with the help of Power BI Desktop, Power BI Service, R, Python, and Azure Cognitive Services.
Let's improve the Tabular Model by Combining queriesSQLBits 2022
Cleaning and reshaping data with Power Query is one of the best parts of designing and delivering analytical reports with Power BI. This session will demo several scenarios in which combining queries could be the perfect solution for the optimal tabular model.
Power BI Tooltips: how, where and whenSQLBits 2022
Tooltips are an elegant way to enrich and provide more contextual information and details to data points in a visual. Join us in this session that will cover the idea behind the tooltip in Power BI, why it is so important and helpful, and how to configure it.
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.