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Indigo Ultimate Azure Data Engineering: Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications (English Edition) | Erin Mills Town Centre
Ultimate Azure Data Engineering: Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications (English Edition)
Ultimate Azure Data Engineering: Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications (English Edition)
Ultimate Azure Data Engineering: Build Robust Data Engineering Systems on Azure with SQL, ETL, Data Modeling, and Power BI for Business Insights and Crack Azure Certifications (English Edition)
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Discover the world of data engineering in an on-premises setting versus the Azure cloud
Book DescriptionEmbark on a comprehensive journey into Azure data engineering with “Ultimate Azure Data Engineering”. Starting with foundational topics like SQL and relational database concepts, you'll progress to comparing data engineering practices in Azure versus on-premises environments. Next, you will dive deep into Azure cloud fundamentals, learning how to effectively manage heterogeneous data sources and implement robust Extract, Transform, Load (ETL) concepts using Azure Data Factory, mastering the orchestration of data workflows and pipeline automation.
The book then moves to explore advanced database design strategies and discover best practices for optimizing data performance and ensuring stringent data security measures. You will learn to visualize data insights using Power BI and apply these skills to real-world scenarios.
Whether you're aiming to excel in your current role or preparing for Azure data engineering certifications, this book equips you with practical knowledge and hands-on expertise to thrive in the dynamic field of Azure data engineering.
Table of Contents1. Introduction to Data Engineering2. Understanding SQL and RDBMS Concepts3. Data Engineering: Azure Versus On-Premises4. Azure Cloud Concepts5. Working with Heterogenous Data Sources6. ETL Concepts7. Database Design and Modeling8. Performance Best Practices and Data Security9. Data Visualization and Application in Real World10. Data Engineering Certification Guide Index
Discover the world of data engineering in an on-premises setting versus the Azure cloud
Book DescriptionEmbark on a comprehensive journey into Azure data engineering with “Ultimate Azure Data Engineering”. Starting with foundational topics like SQL and relational database concepts, you'll progress to comparing data engineering practices in Azure versus on-premises environments. Next, you will dive deep into Azure cloud fundamentals, learning how to effectively manage heterogeneous data sources and implement robust Extract, Transform, Load (ETL) concepts using Azure Data Factory, mastering the orchestration of data workflows and pipeline automation.
The book then moves to explore advanced database design strategies and discover best practices for optimizing data performance and ensuring stringent data security measures. You will learn to visualize data insights using Power BI and apply these skills to real-world scenarios.
Whether you're aiming to excel in your current role or preparing for Azure data engineering certifications, this book equips you with practical knowledge and hands-on expertise to thrive in the dynamic field of Azure data engineering.
Table of Contents1. Introduction to Data Engineering2. Understanding SQL and RDBMS Concepts3. Data Engineering: Azure Versus On-Premises4. Azure Cloud Concepts5. Working with Heterogenous Data Sources6. ETL Concepts7. Database Design and Modeling8. Performance Best Practices and Data Security9. Data Visualization and Application in Real World10. Data Engineering Certification Guide Index
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