How Was the SQL Server ES 12 Meetup

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Hey guys!
On 11 / 05, I had the honor of participating in the organization of the 12 SQL Server ES Meeting. In this event, we met at the Catholic University of Vitória (UCV), which has been a great partner since the beginning of the technical community.

Speaking of technical content, we are preparing two very interesting lectures. Ruy lacerda, from the Planilheiros, gave the lecture “Data Processing with Power BI”, where he demonstrated various ways to use the M language and Power BI Desktop interface to solve common data set problems, and the speaker Thais Mafrafrom Skyes presented the talk “Power BI + Streaming Dataset Flow + OneDrive + Excel”, giving an overview of Power BI, how Flow works within Office 365, and how we can use this feature to deliver data that updates automatically when they are changed at the source.

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About SQL Server ES

In early 2017, the organizers of SQL Server ES, Fabrício Lima (PASS Chapter Co-Leader) and Tiago Neves (PASS Chapter Leader) started a movement to unite the technical community of Espírito Santo and start creating this culture and this movement of innovation and sharing in the state. Soon after, Dirceu Resende and Vithor Silva were invited to compose the organization of “SQL Server ES”.

With this team in the organization, the 1 SQL Server ES Meeting was held on 06 / 04 / 2017, at the Salesian University Center of Vitória, being a great success of public and opinions of the participants, starting an important and great movement of union of data professionals from Espírito Santo, with the participation of students and technology professionals from all over Greater Vitória, even from regions of the interior of the state, such as Aracruz, Domingos Martins and Cachoeiro de Itapemirim, for example.

To date, we have held 12 in-person events (all free) where we covered Data Security, Performance Tuning, Power BI and Sentiment Analysis, Databases, Chat Bots and more. Our focus is to talk about Development, Database, BI, Big Data, Machine Learning and other data area trends, with average participation of 60-100 people and wide dissemination in various social media (LinkedIn, Twitter, Facebook, Instagram).

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