Power BI permite leer datos de una gran cantidad de fuentes. En esta sesión veremos como trabajar con la solución de Data Lake de Azure, aspectos a considerar y mejores práctica, para aprovechar toda su potencia
I’m an information technologies professional with more than 20 years of experience. My activities are centered in projects related to the design, implementation and administration of data solutions and business intelligence, as well as training in Microsoft Data Platform Technologies, like SQL Server, Power BI and Azure. I’m a graduated from Universidad San Martín in Computing and Informatics. I’m also Microsoft MCSA (Microsoft Certified Solution Associate) and MCT (Microsoft Certified Trainer) specialized in SQL Server and Power BI. From 2017 I have received the Most Valuable Professional (MVP) award in recognition as a technology expert who passionately share knowledge with the community. I’m involved in teaching activities, as well as community activities as a member of the Professional Association for SQL Server (PASS) Lima and Leader of the Power BI User Group Lima, in which we organize and lead meetings and workshops on SQL Server, Power BI and Azure technologies. I am founder of the consulting agency dbLearner where I provide specialized services in Data Platform and Data Analytics
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A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.