AZURE ARC-ENABLED DATA SERVICE

1. Auflage 2021
ISBN: 978-1-4842-6704-2
Verlag: APRESS

Buch, Englisch, 119 Seiten, Book, Format (B × H): 178 mm x 254 mm, Gewicht: 454 g

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Weissman, Ben

Nocentino, Anthony E.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Microsoft Programmierung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Datenbankprogrammierung SQL Server/MS SQL
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Datenbankprogrammierung PostgreSQL
• Mathematik | Informatik EDV | Informatik Angewandte Informatik

Inhaltsverzeichnis

1. A Kubernetes Primer2. Azure Arc-Enabled Data Services3. Getting Ready for Deployment4. Deploying a Data Controller5. Deploying an Azure Arc-Enabled SQL Managed Instance6. Deploying Azure Arc-Enabled PostgreSQL Hyperscale7. Monitoring

Über Autor(innen)

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.