SQLSaturday 424

São Paulo , Brazil

PASS SQLSaturday is a free training event for professionals who use the Microsoft data platform. These community events offer content across data management, cloud and hybrid architecture, analytics, business intelligence, AI, and more. This event will be held on Sep 26 2015 at UNIP Tatuapé, Rua Antônio Macedo, 505, São Paulo, São Paulo, 03087-040, Brazil

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Bem-Vindo ao SQLSaturday São Paulo #424


Brasil

SQLSaturday é um evento de capacitação para profissionais de SQL Server, Business Intelligence e aqueles que querem aprender sobre o universo da Plataforma de dados da Microsoft. Este evento será realizado em 26 de setembro de 2015, na UNIP Tatuapé, Rua Antônio Macedo, 505 - Parque São Jorge, Tatuapé - São Paulo - SP, São Paulo, 03087-040, Brasil. A entrada ao evento é gratuita, todos os custos são cobertos por doações e patrocínios. Os lugares são limitados, registre-se para garantir sua vaga, e compartilhe com os outros para que todos possam comparecer.

Opcionalmente será servido um LunchBox, tem o custo de US10.00 (R$30,00). Este é opcional, e não tem relação direta com sua inscrição.






USA

SQLSaturday is a training event for SQL Server professionals and those wanting to learn about SQL Server. This event will be held Sep 26 2015 at UNIP Tatuapé, Rua Antônio Macedo, 505 - Parque São Jorge, Tatuapé - São Paulo - SP, São Paulo, 03087-040, Brazil. Admittance to this event is free, all costs are covered by donations and sponsorships. Please register soon as seating is limited, and let friends and colleagues know about the event.

Optionally one LunchBox is served, will cost US10.00 (R$ 30.00). This is optional, and is not directly related with your subscription.




Codificando .Net e SQL PASS Chapter  BAG BR

  












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What is a PASS SQLSaturday?

PASS SQLSaturdays are local events organized by PASS community members around the world. PASS is a not-for-profit association for data professionals who leverage the Microsoft Data Platform, offering interactive learning built by community and guided by trusted data experts.

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