Peña M Azure Data Fundamentals A Guide to DP-900 Certification and Beyond 2026 | 6.29 MB
Title: Azure Data Fundamentals
Author: Michael John Peña
Description:
Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.
Author Michael John Peña, principal data and application engineer, also shows you how to apply security, monitoring, and optimization techniques to your data solutions in Azure. Ideal as a resource for the Azure Data Fundamentals certification, this book also provides knowledge you can apply in your daily work even after platforms evolve and new technologies emerge.
You’ll gain insights that will help you apply the fundamentals of data operations and engineering in the Azure ecosystem.
Learn the essential skills and concepts for working with data in the cloud using Microsoft Azure. With this practical guide, professionals new to data management and Azure will learn how to leverage Azure services such as Azure Cosmos DB, Azure Storage, Azure SQL, and Microsoft Fabric to create, store, process, analyze, and visualize data.
Author Michael John Peña, principal data and application engineer, also shows you how to apply security, monitoring, and optimization techniques to your data solutions in Azure. Ideal as a resource for the Azure Data Fundamentals certification, this book also provides knowledge you can apply in your daily work even after platforms evolve and new technologies emerge.
You’ll gain insights that will help you apply the fundamentals of data operations and engineering in the Azure ecosystem.
- Learn core data concepts and the corresponding Microsoft Azure data services
- Discover how to work with relational and nonrelational data on Azure
- Build data analytics solutions using various Azure data services
- Identify and describe core data workloads and data analytics workloads on Azure
- Articulate how to work with data security and privacy on Azure
- Explain the use cases, benefits, and limitations of different Azure data services
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