Azure Arc-enabled Data Services Revealed
Deploying Azure Data Services on Any Infrastructure
Ben Weissman, Anthony E. Nocentino
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Naturwissenschaften, Medizin, Informatik, Technik / Informatik
Beschreibung
Get introduced to Azure Arc-enabled Data Services and the powerful capabilities 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 Postgres in your corporate data center or any cloud as if they were part of the Azure platform. This second edition has been updated to the latest codebase, allowing you to use this book as your handbook to get started with Azure Arc-enabled Data Services today. Learn how to benefit from Azure's centralized management, the automated rollout of patches and updates, managed backups, and more.
What You Will Learn
- 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
- Backupand Restore your data that is managed by Azure Arc-enabled data services
- Manage Azure-enabled data services running outside of Azure
- Monitor Azure-enabled data services through Grafana and Kibana
- Monitor Azure-enabled data services running outside of Azure through Azure Monitor
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.
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Schlagwörter
Azure SQL, Azure Arc Data Services, Azure SQL MI, Grafana, Private Cloud, Cloud Computing, Kibana, Kubernetes, On-Premises Computing, SQL Server, PostgreSQL, Microsoft Azure Cloud, Azure Data Services