Self Service BI com Power BI
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Apresentação realizada no 2º Encontro do Chapter de SQL Server e Power BI em Vitória-ES
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Self Service BI com Power BI
- 1. Microsoft Power BI Introdução ao Self-Service BI Vithor da Silva e Silva MCT - Microsoft Certified Trainer www.vssti.com.br/blog 2º Encontro do Grupo SQL Server ES
- 2. Sobre mim • Consultor SQL Server e Power BI – AX4B; • Instrutor Microsoft – Mindworks Informática; • Consultor e desenvolvedor – VSSTI; • Carreira profissional (>10 anos como DBA) • Grupo Águia Branca (de estagiário à DBA), Accenture e Allen Informática; • AX4B Informática; • Experiência técnica: • SQL Server, Azure, Oracle, MySQL, IBM DB2 LUW, Progress, C#, Nagios, Linux, etc... • www.vssti.com.br/blog
- 4. Self-service BI: “O poder na mão dos usuários”
- 6. A evolução do BI
- 7. A Evolução do BI Empresas de Nicho
- 8. 8
- 9. OLTP Apps Analytics Cubes & Services BI ReportsData Warehouse Finance CRM ERP Data Mart or Operational Data Store Arquitetura tradicional – “mínimo”
- 10. OLTP Apps Big Data & Analytics Comprehensive BI Streaming IoT Social Modern Data Warehouse Big Data Storage NoSQL Data Lake CRM ERP Business Analyst BI Users IT Pro Data Mart or Operational Data Store + other data sources LOB Finance Web Arquitetura moderna – “sonho”
- 11. Microsoft Power BI Experimente os seus dados. Quaisquer dados, de qualquer forma, em qualquer lugar;
- 12. Como surgiu? PowerQuery + PowerView + PowerPivot ETL Data Warehouse View Share Office 365 + Predict Machine Learning + Search Q&A+
- 13. Arquitetura Todos os seus dados, onde quer que estejam!
- 14. Principais benefícios do Power BI Dashboards e Relatórios para soluções SaaS Ferramenta familiar. Dashboards com linguagem natural Real-time updates Rápido deployment, suporte híbrido, integrado com o atual ambiente de TI. Conexão segura direta ao data sources on-premises
- 15. Quanto custa?
- 16. Power BI, o que vendem?
- 17. Power BI, como deveria ser? Poucos dados...
- 18. Demonstração
Editor's Notes
- In a modern system, i.e. Dartmouth Hitchcock, new types of data from new sources need new ways of being stored. Businesses need a more flexible data architecture to take advantage of the opportunity to embrace data. <click> <click> More and more data is digitally born. In addition to unstructured data such as weblogs and social data, we have the Internet of Things where assets themselves are creating data. All this new data needs to be integrated so businesses can make decisions on the most information in real-time. <click> There are new ways of storing unstructured data that can be integrated into your existing data warehouse. You can now store data in its native form, instead of being restricted to tabular format. Use NoSQL for schema-free data like videos, or a data lake for data that is varied in volume, variety and velocity. <click> And with all these new data sources and types, we have new ways to analyze. As we mentioned before, this is where a ton of investment is happening in the industry. With stream processing you can process data for analysis directly from the source Predictive analytics lets users analyze data from the past and the present to make predictions about what will happen in the future. This can be anything from predicting fraud risk to recommending products to customers. <click> Finally, in a company that embraces data, it is critical that more users get access to data and reporting in real time. While IT can still manage access rights to sensitive data, and data analysts can still produce reports, now any user can query the data they need, right from their mobile device. <click> All of this can now happen on-premises or in the cloud. Maybe data that is subject to regulatory compliance, or has extra security needs stays on premises. And functions where the ability to quickly scale up and down is key may live in the cloud. Today you can build a hybrid environment that lets you choose what’s on premises and what’s better suited for the cloud Consistent experience is everything Common development and management tools Common T-SQL surface area Simple cloud migration
- Microsoft Power BI é a cereja no bolo de um ecossistema de business intelligence em uma empresa.
- https://powerbi.microsoft.com/pt-br/pricing/
- Demonstrar o desenvolvimento do Power BI nos cenários: Sem DW; Com DW; Com OLAP;