Azure Arc-Enabled Data Services Revealed -  Anthony E. Nocentino,  Ben Weissman

Azure Arc-Enabled Data Services Revealed (eBook)

Early First Edition Based on Public Preview
eBook Download: PDF
2021 | 1st ed.
XXI, 119 Seiten
Apress (Verlag)
978-1-4842-6705-9 (ISBN)
Systemvoraussetzungen
39,99 inkl. MwSt
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Get introduced to Azure Arc-enabled data services and the powerful capabilities they provide to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage databases running on SQL Server and Posgres in your corporate data center as if they were part of the Azure platform. You will learn how to benefit from the centralized management that Azure provides, the automated rollout of patches and updates, and more. 

This book is the perfect choice for anyone looking for a hybrid or multi-vendor cloud strategy for their data estate. The authors walk you through the possibilities and requirements to get services such as Azure SQL Managed Instance and PostgresSQL Hyperscale, deployed outside of Azure, so the services are accessible to companies that cannot move to the cloud or do not want to use the Microsoft cloud exclusively. The technology described in this book will be especially useful to those required to keep sensitive services, such as medical databases, away from the public cloud, but who still want to benefit from the Azure cloud and the centralized management and tooling that it supports.



What You Will Learn
  • Understand the core concepts of Kubernetes
  • Understand the fundamentals and architecture of Azure Arc-enabled data services
  • Build a multi-cloud strategy based on Azure data services
  • Deploy Azure Arc-enabled data services on premises or in any cloud
  • Deploy Azure Arc-enabled SQL Managed Instance on premises or in any cloud
  • Deploy Azure Arc-enabled PostgreSQL Hyperscale on premises or in any cloud
  • Manage Azure-enabled data services running outside of Azure
  • Monitor Azure-enabled data services running outside of Azure through the Azure Portal


Who This Book Is For

Database administrators and architects who want to manage on-premises or hybrid cloud data resources from the Microsoft Azure cloud. Especially for those wishing to take advantage of cloud technologies while keeping sensitive data on premises and under physical control.




?Ben Weissman is the owner and founder of Solisyon, a consulting firm based in Germany and focused on business intelligence, business analytics, and data warehousing. He is a Microsoft Data Platform MVP, the first German BimlHero, and has been working with SQL Server since SQL Server 6.5. Ben is also an MCSE, Charter Member of the Microsoft Professional Program for Big Data, Artificial Intelligence, and Data Science, and he is a Certified Data Vault Data Modeler. If he is not currently working with data, he is probably travelling to explore the world.

Anthony E. Nocentino is the Founder and President of Centino Systems as well as a Pluralsight author, a Microsoft Data Platform MVP, and an industry recognized Kubernetes, SQL Server, and Linux expert. In his consulting practice, Anthony designs solutions, deploys the technology, and provides expertise on system performance, architecture, and security. He has bachelor's and master's degrees in computer science, with research publications in machine virtualization, high performance/low latency data access algorithms, and spatial database systems.

Get introduced to Azure Arc-enabled data services and the powerful capabilities they provide to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. This book shows how you can deploy and manage databases running on SQL Server and Posgres in your corporate data center as if they were part of the Azure platform. You will learn how to benefit from the centralized management that Azure provides, the automated rollout of patches and updates, and more. This book is the perfect choice for anyone looking for a hybrid or multi-vendor cloud strategy for their data estate. The authors walk you through the possibilities and requirements to get services such as Azure SQL Managed Instance and PostgresSQL Hyperscale, deployed outside of Azure, so the services are accessible to companies that cannot move to the cloud or do not want to use the Microsoft cloud exclusively. The technology described in this book will be especially useful to those required to keep sensitive services, such as medical databases, away from the public cloud, but who still want to benefit from the Azure cloud and the centralized management and tooling that it supports.What You Will LearnUnderstand the core concepts of KubernetesUnderstand the fundamentals and architecture of Azure Arc-enabled data servicesBuild a multi-cloud strategy based on Azure data servicesDeploy Azure Arc-enabled data services on premises or in any cloudDeploy Azure Arc-enabled SQL Managed Instance on premises or in any cloudDeploy Azure Arc-enabled PostgreSQL Hyperscale on premises or in any cloudManage Azure-enabled data services running outside of AzureMonitor Azure-enabled data services running outside of Azure through the Azure Portal Who This Book Is ForDatabase administrators and architects who want to manage on-premises or hybrid cloud data resources from the Microsoft Azure cloud. Especially for those wishing to take advantage of cloud technologies while keeping sensitive data on premises and under physical control.
Erscheint lt. Verlag 2.2.2021
Zusatzinfo XXI, 119 p. 95 illus.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Mathematik / Informatik Informatik Software Entwicklung
Schlagworte Azure Arc Data Services • Azure Data Services • Azure SQL • Azure SQL MI • Cloud Computing • Grafana • Kibana • Kubernetes • Microsoft Azure cloud • On-Premises Computing • PostgreSQL • Private Cloud • SQL Server
ISBN-10 1-4842-6705-2 / 1484267052
ISBN-13 978-1-4842-6705-9 / 9781484267059
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