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  • 2024, July 04
  • Content: 264
  • |
  • Playlist: 19
  • Video: 141
  • Duration: 27h 21m 24s
#034 Data Analysis with Power BI and SQL Server Playlist
2024, June 24, Monday

#034 Data Analysis with Power BI and SQL Server Playlist

Learn how to analyze data using Power BI and SQL Server by watching this playlist

2024, June 23, Sunday

How to create Azure SQL Database always free

How to create Azure SQL Database resource for free forever, with Microsoft's new preview offer

2024, June 22, Saturday

How to calculate fixed income profitability in Power BI

Descubra como calcular rentabilidade de investimentos no Power BI: tabelas, taxas, juros compostos e otimize medidas DAX

#019 Get Months Difference Between Dates in Azure SQL
2024, June 21, Friday

#019 Get Months Difference Between Dates in Azure SQL

Como obter diferença de meses entre datas em Consulta (SELECT) existente na linguagem de Manipulação de Dados (DML) do Azure SQL/SQL Server

#074 Mark Zuckerberg Quote
2024, June 20, Thursday

#074 Mark Zuckerberg Quote

"Algumas pessoas sonham com o sucesso. Enquanto isso outras acordam e trabalham duro para isso

2024, June 19, Wednesday

How to calculate fixed income profitability in Azure SQL Server

How to calculate the profitability of investments using compound interest using Azure SQL Server to perform financial calculations

#041 calcular consumo do pipeline do azure data factory
2024, June 18, Tuesday

#041 calcular consumo do pipeline do azure data factory

Como calcular consumo do pipeline no Azure Data Factory

#063 How to extract metadata in Microsoft Purview
2024, June 17, Monday

#063 How to extract metadata in Microsoft Purview

Conheça como extrair metadados no Microsoft Purview assistindo a essa playlist

2024, June 16, Sunday

How to get and publish data in Parquet format in Power BI

How to get file data in fomato Parquet, stored in Azure Data Lake to publish to Power BI Service

2024, June 15, Saturday

How to copy MYSQL data using Azure Data Factory

Como copiar dados do banco de dados MySQL e armazenar no Azure Data Lake em arquivo formato Parquet utilizando o Azure Data Factory