№ lp_2_2_07548
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Character count: 50994
File size: 241 KB
This document provides recommendations and test results for running SQL Server 2008 in a Hyper-V environment, with a focus on best practices and performance considerations.
Year:
2008
Region / City:
Global
Topic:
SQL Server, Virtualization
Document Type:
Technical Article
Organization:
Microsoft Corporation
Authors:
Lindsey Allen, Mike Ruthruff, Prem Mehra
Target Audience:
IT Professionals, Database Administrators
Period of Applicability:
Ongoing
Date of Approval:
October 2008
Date of Last Update:
N/A
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The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2013
Region / city:
Global
Theme:
Hyper-V Replica, Virtualization
Document type:
User Guide
Organization / Institution:
Microsoft
Author:
Microsoft
Target Audience:
IT administrators
Validity Period:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Course:
Security SY0-601
Platform:
Microsoft Hyper-V
Operating Systems:
Windows 10, Windows Server 2016, pfSense, Kali Linux
Virtual Machines:
SY0-601 Windows 10 VM; SY0-601 Windows 2016 VM; SY0-601 pfSense VM; SY0-601 Kali VM
Hardware Requirements:
Multi-core 64-bit processor with AMD-V or Intel VT-x; 8 GB RAM (16 GB recommended); 100 GB storage (SSD recommended); 1024x768 monitor minimum; network adapter
Software Requirements:
64-bit Windows 10 or Windows Server 2016 (or later); Hyper-V role enabled
Source of VM Files:
http://www.30bird.com
; http:
//downloads.30bird.com
Network Configuration:
One External virtual switch; Two Private virtual switches (Internal LAN 1, Internal LAN 2)
Domain Name:
MWHA
Default Credentials:
MWHAAdministrator; MWHAchris.marshall; admin; kali
Intended Use:
Virtual lab environment for course exercises
System Type:
Virtualized Windows domain network with router and Linux host
Year:
2012
Region / City:
N/A
Topic:
Data Warehouse Architecture
Document Type:
Technical Article
Organization / Institution:
Microsoft
Authors:
Eric Kraemer, Mike Bassett, Eric Lemoine, Dave Withers
Target Audience:
IT planners, architects, DBAs, business intelligence users
Period of validity:
N/A
Approval Date:
March 2012
Date of Changes:
N/A
Year:
2013
Region / City:
Global
Topic:
SQL Server, Plan Caching, Recompilation
Document Type:
Technical Article
Organization / Institution:
Microsoft
Author:
Greg Low, SQL Down Under
Target Audience:
SQL Server developers, database administrators, and those migrating to SQL Server 2012
Period of Application:
SQL Server 2012
Approval Date:
March 2013
Date of Changes:
Not specified
Note:
Year
Topic:
SQL Server, Availability Groups, Listener Configuration
Document Type:
Technical Guide
Target Audience:
Database Administrators, IT Professionals
Keywords:
SQL Server, Always On, Listener, Availability Group, Failover, Read-Only Routing
Product:
SQL Account
Document type:
Software release notes
Versions covered:
5.2025.1058.890–5.2026.1064.891
Release dates:
November 21, 2025 – January 5, 2026
Database versions:
220, 221
Main components:
Database, AI Easyscan, MyInvois (E-Invoice MY), InvoiceNow (Peppol SG), Ecommerce, Mobile Connect, Fixed Asset, Approval, Reporting
Regions referenced:
Singapore, Malaysia
Standards referenced:
Peppol, UUID, GST-SG, E-Invoice MY
Issuing organization:
SQL Account
Year:
2011
Note:
Region / City
Topic:
SQL Server, Database Mirroring, Transactional Replication
Document Type:
White Paper
Organization / Institution:
Microsoft Corporation
Author:
Gopal Ashok, Paul S. Randal
Target Audience:
Database Administrators, SQL Server professionals
Year:
2009
Region / City:
Global
Topic:
Disk Partition Alignment
Document Type:
White Paper
Author:
Jimmy May, Denny Lee
Target Audience:
SQL Server Administrators, IT Professionals
Period of validity:
Ongoing
Approval Date:
May 2009
Modification Date:
N/A
Year:
2008
Region / city:
Global
Topic:
SQL Server Licensing
Document Type:
Technical Guide
Organization / Institution:
Microsoft
Author:
Microsoft
Target Audience:
IT Professionals, Database Administrators, Software Licensors
Validity Period:
Not specified
Approval Date:
July 2008
Amendment Date:
Not specified
Year:
2014
Applies to:
SQL Server 2012 (including 2012 SP1), SQL Server 2014
Type of document:
White Paper / Technical Guide
Authors:
Karan Gulati, Jon Burchel
Editor:
Jeannine Takaki
Contributors and Technical Reviewers:
Akshai Mirchandani, Siva Harinath, Lisa Liu
Organization:
Microsoft Corporation
Audience:
Business Intelligence Developers
Content:
Performance tuning techniques for OLAP solutions and design patterns for scalable cubes
Copyright:
© 2014 Microsoft Corporation
Year:
2014
Region / City:
Global
Topic:
SQL Server, Azure SQL Database, Idle Connection Resiliency
Document Type:
Technical Article
Organization / Institution:
Microsoft
Author:
Luiz Fernando Santos, Matt Neerincx
Target Audience:
Developers, IT professionals
Effective Period:
N/A
Approval Date:
March 2014
Date of Changes:
N/A
Year:
2013
Note:
Region / City
Topic:
Performance tuning, SQL Server 2012, Tabular Models
Document Type:
Technical Article
Organization:
Microsoft
Author:
John Sirmon, Greg Galloway, Cindy Gross, Karan Gulati
Target Audience:
IT professionals, Data Engineers, Analysts
Summary:
This document describes techniques and strategies for optimizing performance in tabular models within SQL Server 2012 Analysis Services, focusing on areas such as query tuning, partitioning, and server configuration.
Authors:
Cathy Dumas, Kasper de Jonge
Contributors:
Marius Dumitru, Akshai Mirchandani, Bob Meyers, Siva Harinath, Bradley Ouellette, Greg Galloway, Howie Dickerman
Technical Reviewers:
Nick Medveditskov, Edward Melomed, Owen Duncan, Dave Wickert, Thomas Ivarsson
Published:
April 2012
Updated:
April 2016
Applies to:
SQL Server 2012, SQL Server 2014, SQL Server 2016, Azure Analysis Services, Power BI
Document type:
Technical article
Topic:
Tabular BI security model, role management, dynamic security
Intended audience:
BI professionals, SQL Server and Power BI users
Content includes:
Examples, implementation guidance, sample data files, row-level security techniques
Year:
2009
Applies to:
SQL Server 2008
Type of Document:
Technical Article / White Paper
Authors:
Sunil Agarwal, Boris Baryshnikov, Keith Elmore, Juergen Thomas, Kun Cheng, Burzin Patel
Technical Reviewers:
Jerome Halmans, Fabricio Voznika, George Reynya
Publisher:
Microsoft Corporation
Publication Date:
March 2009
Topics:
Database performance, SQL Server troubleshooting, resource bottlenecks, memory and I/O optimization, tempdb management, query performance
Intended Audience:
Database administrators, IT professionals
Tools Covered:
SQL Server Profiler, Performance Monitor, Dynamic Management Views, Extended Events, Data Collector
Year:
2011
Region / City:
Global
Topic:
Security and Compliance, Database Administration
Document Type:
White Paper
Organization / Institution:
Microsoft Corporation
Author:
Lara Rubbelke
Contributor:
Kathi Kellenberger
Reviewers:
Jack Richins, Darmadi Komo
Target Audience:
Data platform managers, application owners, Database Administrators
Applicable Products:
SQL Server 2008, SQL Server 2008 R2
Date of Approval:
April 2011
Modification Date:
Not specified
Year:
2012
Note:
Region / City
Topic:
Security, SQL Server, Best Practices
Document Type:
White Paper
Organization / Institution:
Microsoft Corporation
Author:
Bob Beauchemin
Target Audience:
Operational DBAs
Approval Date:
January 2012
Description:
This document outlines best practices for securing SQL Server 2012, specifically for operational and administrative tasks, focusing on security configuration, policy-based management, and server role management.
Year:
2011
Region / City:
N/A
Topic:
Data Warehousing, Business Intelligence
Document Type:
Technical Article
Organization / Institution:
Microsoft
Author:
Warren Thornthwaite
Target Audience:
Data warehouse and business intelligence professionals, IT architects
Validity Period:
N/A
Approval Date:
June 2011
Date of Modifications:
N/A
Note:
Year
Year:
2023
Topic:
Career guidance, Education
Document type:
Guide
Author:
Not specified
Target audience:
Young people, Teachers
Period of validity:
Not specified
Approval date:
Not specified
Date of changes:
Not specified
Note:
Context description
Year:
2011
Region / City:
NCEP (National Centers for Environmental Prediction)
Topic:
Global Forecast System (GFS) experiment setup and execution
Document Type:
Technical Guide
Organization / Institution:
NOAA / NCEP
Author:
Not specified
Target Audience:
NCEP internal users, researchers in climate and weather modeling
Validity Period:
Not specified
Approval Date:
June 22, 2011
Date of Changes:
Not specified
Contextual Description:
Technical guide detailing the setup and execution of global model parallel experiments using the Global Forecast System (GFS) for internal NOAA/NCEP users.