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Microsoft Azure Data Engineering: A Microsoft Azure Cloud Data Engineering, Data Integration and Data Warehousing reference guide
Want to become a Microsoft Azure Data Engineer, master cloud data engineering, or prepare for your next technical interview?
Take your Azure data engineering knowledge to the next level with this comprehensive technical reference, featuring over 1,100 carefully crafted questions and answers covering the Microsoft Azure services, technologies and concepts used by data engineers in real-world environments.
Whether you're an aspiring Azure Data Engineer, an experienced SQL developer, a database professional, or a cloud engineer looking to expand your skills, this book provides a structured way to understand the Microsoft Azure data ecosystem.
Learn the technologies. Understand the architecture. Build the skills employers value.
WHAT YOU'LL LEARNInside this practical Microsoft Azure Data Engineering guide, you'll
Microsoft Azure Azure tenants, Microsoft Entra ID, subscriptions, management groups, resource groups and cloud administration.
Azure Data Factory (ADF): ETL and ELT processes, data pipelines, linked services, datasets, integration runtimes and data orchestration.
Azure Synapse Dedicated and serverless SQL pools, analytics architecture, data integration and enterprise data warehousing.
Azure Data Lake Storage Cloud storage, hierarchical namespaces, access controls, data lake architecture and storage management.
SQL and Database Azure SQL Database, SQL Server, Cosmos DB, database administration, query optimisation and SQL performance tuning.
Big Data and Apache Spark, distributed processing, data transformation and large-scale analytics.
Real-Time Data Azure Event Hubs, IoT Hub, Event Grid, Stream Analytics and Azure Data Explorer.
Programming and SQL, Python, PowerShell and Azure CLI.
Data Warehousing and Kimball methodology, dimensional modelling, data warehouse architecture and modern data integration.
Security and Azure Key Vault, role-based access control (RBAC), private endpoints, data protection and Microsoft Purview.
DevOps and Infrastructure as Azure DevOps, ARM templates, Bicep and automated deployments.
Analytics and Power BI, Azure Analysis Services, Azure Functions and Logic Apps.
Modern Data Lambda architecture, Kappa architecture and Data Mesh concepts.
Monitoring and Azure Monitor, Log Analytics and operational management.
WHY THIS BOOK?With more than 1,100 questions and answers, this isn't simply another introduction to Microsoft Azure.
It's designed to help
Prepare for challenging Azure Data Engineer technical interviews.
Strengthen your understanding of Azure Data Factory, Synapse Analytics and Data Lake Storage.
Develop practical knowledge of ETL, SQL, Python and cloud data pipelines.
Understand enterprise data warehousing and big data architecture.
Expand your knowledge of Microsoft Azure cloud services.
Build confidence when discussing data engineering solutions and architecture.
Use a comprehensive reference guide when working with Azure data technologies.
BUILD YOUR AZURE DATA ENGINEERING KNOWLEDGEWritten by someone who has successfully built a career as an Azure Data Engineer, this book shares the technical knowledge, concepts and insights that matter in the profession.
Take your Azure data engineering knowledge to the next level with this comprehensive technical reference, featuring over 1,100 carefully crafted questions and answers covering the Microsoft Azure services, technologies and concepts used by data engineers in real-world environments.
Whether you're an aspiring Azure Data Engineer, an experienced SQL developer, a database professional, or a cloud engineer looking to expand your skills, this book provides a structured way to understand the Microsoft Azure data ecosystem.
Learn the technologies. Understand the architecture. Build the skills employers value.
WHAT YOU'LL LEARNInside this practical Microsoft Azure Data Engineering guide, you'll
Microsoft Azure Azure tenants, Microsoft Entra ID, subscriptions, management groups, resource groups and cloud administration.
Azure Data Factory (ADF): ETL and ELT processes, data pipelines, linked services, datasets, integration runtimes and data orchestration.
Azure Synapse Dedicated and serverless SQL pools, analytics architecture, data integration and enterprise data warehousing.
Azure Data Lake Storage Cloud storage, hierarchical namespaces, access controls, data lake architecture and storage management.
SQL and Database Azure SQL Database, SQL Server, Cosmos DB, database administration, query optimisation and SQL performance tuning.
Big Data and Apache Spark, distributed processing, data transformation and large-scale analytics.
Real-Time Data Azure Event Hubs, IoT Hub, Event Grid, Stream Analytics and Azure Data Explorer.
Programming and SQL, Python, PowerShell and Azure CLI.
Data Warehousing and Kimball methodology, dimensional modelling, data warehouse architecture and modern data integration.
Security and Azure Key Vault, role-based access control (RBAC), private endpoints, data protection and Microsoft Purview.
DevOps and Infrastructure as Azure DevOps, ARM templates, Bicep and automated deployments.
Analytics and Power BI, Azure Analysis Services, Azure Functions and Logic Apps.
Modern Data Lambda architecture, Kappa architecture and Data Mesh concepts.
Monitoring and Azure Monitor, Log Analytics and operational management.
WHY THIS BOOK?With more than 1,100 questions and answers, this isn't simply another introduction to Microsoft Azure.
It's designed to help
Prepare for challenging Azure Data Engineer technical interviews.
Strengthen your understanding of Azure Data Factory, Synapse Analytics and Data Lake Storage.
Develop practical knowledge of ETL, SQL, Python and cloud data pipelines.
Understand enterprise data warehousing and big data architecture.
Expand your knowledge of Microsoft Azure cloud services.
Build confidence when discussing data engineering solutions and architecture.
Use a comprehensive reference guide when working with Azure data technologies.
BUILD YOUR AZURE DATA ENGINEERING KNOWLEDGEWritten by someone who has successfully built a career as an Azure Data Engineer, this book shares the technical knowledge, concepts and insights that matter in the profession.
369 pages, Kindle Edition
Published March 1, 2023
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