Ana Maria Bisbe York
Ana María is a professional in the world of data, with over 30 years in the software industry and extensive experience, both in training and in projects, in data modeling and analysis with Microsoft SQL Server Business Intelligence tools and Excel, Tableau, and Power BI. She has more than 15 years of experience as a trainer in data analysis and treatment, the creation of relational, multidimensional, and tabular models, and the creation of reports and dashboards with advanced analytics. As a Microsoft Partner in Power BI, she has done consulting, training and projects, spreading the knowledge and power of Power BI. Her technical level and the recognition she has achieved have led her to be the author of the content published on Power BI for LinkedIn Learning in Spanish. Since 2001, she has collaborated with various technical communities, which share knowledge and experiences, and with communities that promote the visibility of female talent in technology. She is a regular speaker at international events and congresses in Spain, many European countries, LATAM, and the United States. She is a co-leader in the Power Platform Madrid community and leads projects and initiatives in Power Platform Spain. For all this activity, she has been awarded the Microsoft Most Valuable Professional (MVP) award in the Data Platform category for several years. You can find her in forums and events, 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 almost 20 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.
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.