Eddy Djaja
SQLGrease
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Eddy Djaja has worked in data platform, such as SQL Server and Oracle technlogies since 1997 as DBA, Database Manager and Database Architect. For the past couple years, he has taken the journey of adopting cloud technologies in Azure Data Factory, Azure SQL, Azure Synpapse Analytics and Power BI. He has spoken several times at SQLSaturdays. He holds a master degree in Computer Engineering and a bachelor's degree in Electrical Engineering.
Configuration Driven Azure Data Factory
Modern ETL/ELT tool like Azure Data Factory (ADF) has a lot of advantages comparing to the tradition ETL tool. One of the advantages is to ingest data using the configuration. In this presentation, the ADF copy activity deom will use the configuration stored in Azure SQL table to ingest a source to a target area.
Best Practices of Implementing Azure Data Factory
Azure Data Factory (ADF) is a SaaS based integration platform designed with a low-code/no-code approach that simplifies the initial development of data integration solutions. While its user-friendly graphical development studio enables rapid coding, neglecting established best practices can lead to significant challenges in maintaining the system and reusing code. This presentation outlines essential best practices for ADF implementation, highlighting strategies to ensure efficiency, secured, and code reusability.
Best Practices of Implementing Azure Data Factory
Azure Data Factory (ADF) is a SaaS based integration platform designed with a low-code/no-code approach that simplifies the initial development of data integration solutions. While its user-friendly graphical development studio enables rapid coding, neglecting established best practices can lead to significant challenges in maintaining the system and reusing code. This presentation outlines essential best practices for ADF implementation, highlighting strategies to ensure efficiency, secured, and code reusability.
SQLSaturday Orlando 2025 Sessionize Event
SQLSaturday Orlando 2021 Sessionize Event
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