How was the 12th SQL Server ES Meetup

Hey guys!
On 11/05, I had the honor of participating in the organization of the 12th SQL Server ES Meeting. At this event, we gathered 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 talks. Ruy Lacerda, from Planilheiros, gave the lecture “Data Processing with Power BI”, where he demonstrated various ways of using the M language and the Power BI Desktop interface to solve common problems in datasets, and the speaker Thais Mafra, from Skyes, presented the talk “Power BI + Streaming Dataset Flow + OneDrive + Excel”, presenting an overview of Power BI, how Flow works within Office 365 and how we can use this feature to deliver data that is automatically updated when it changes at the source.

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About SQL Server ES

At the beginning of 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 movement of innovation and sharing in the state. Soon after, Dirceu Resende and Vithor Silva were invited to join the “SQL Server ES” organization.

With this team in the organization, the 1st SQL Server ES Meeting was held on 04/06/2017, at the Centro Universitário Salesiano de Vitória, being a great success with the public and the 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 in the interior of the state, such as Aracruz, Domingos Martins and Cachoeiro de Itapemirim, for example.

To date, we have already held 12 in-person events (all free), where we cover Data Security, Performance Tuning, Power BI and sentiment analysis, Databases, Chat bots and others. Our focus is to talk about Development, Database, BI, Big Data, Machine Learning and other trends in the data area, with an average participation of 60-100 people and wide dissemination on the most diverse social media (LinkedIn, Twitter, Facebook, Instagram).