Top PDF See requirements for Microsoft SQL Server 2000 or Microsoft SQL Server 2005

See requirements for Microsoft SQL Server 2000 or Microsoft SQL Server 2005

See requirements for Microsoft SQL Server 2000 or Microsoft SQL Server 2005

Microsoft SQL Server 2005 SP1 or later (used by BizTalk Server) C/SIDE Database Server for Microsoft Dynamics NAV or SQL Server Option for Microsoft Dynamics NAV. Application Server f[r]

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Microsoft SQL Server 2005 Express Edition For Dummies (2006) pdf

Microsoft SQL Server 2005 Express Edition For Dummies (2006) pdf

This means that as a designer, you can build your SQL Server 2005 Express database with confidence, knowing that you aren’t painted into a corner by missing capabilities, nor the solution you design is forever consigned to this entry-level database. This works the other way as well: You can design your solution on a more powerful edition of SQL Server 2005, and then deploy it onto SQL Server 2005 Express, as long as it doesn’t require any of the fea- tures that are only found in the more expensive editions of the product. One feature that’s particularly attractive for distributed application develop- ers and vendors is the Xcopy deployment capability of SQL Server 2005 Express. This lets you easily bundle your application and database (.mdf) file and then copy them to another machine. Because everything is already pre-packaged, you don’t need to manually configure these other platforms, as long as they have a running instance of SQL Server 2005 Express. When your
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BI In The Microsoft Partner Program. Sarah Arnold Partner Program Manager

BI In The Microsoft Partner Program. Sarah Arnold Partner Program Manager

• Microsoft Exam 70-446 : PRO: Designing a Business Intelligence Infrastructure Using Microsoft SQL Server 2005. • Microsoft Exam 70-228 : Installing, Configuring, and Administering[r]

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Cannot connect to Microsoft SQL Server on network

Cannot connect to Microsoft SQL Server on network

"An error has occurred while establishing a connection to the server. When connecting to SQL Server 2005, this failure may be caused by the fact that under the default settings SQL Server does not allow remote connection. (provider: SQL Network Interfaces, error 28 - Server doesn't support request protocol) (Microsoft SQL Server)" "Login failed for user 'sa'. The user is not associated with a trusted SQL Server connection. (Microsoft: SQL Server. Error: 18452)"

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Microsoft SQL Server 2000 Index Defragmentation Best Practices

Microsoft SQL Server 2000 Index Defragmentation Best Practices

Online. Consider using the DBCC SHOWCONTIG TABLERESULTS option and importing this information into tables at regular intervals. Doing this allows you to monitor the fragmentation levels over time. Also consider using the WITH FAST option when running DBCC SHOWCONTIG on a busy server. Using the WITH FAST option allows DBCC SHOWCONTIG to avoid scanning the leaf pages of an index. This can result in faster performance of DBCC SHOWCONTIG; however, because it does not scan the leaf pages of the index, it cannot report page density numbers.

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Microsoft SQL Server and NetApp SnapManager for SQL Server on NetApp Storage Best Practices Guide

Microsoft SQL Server and NetApp SnapManager for SQL Server on NetApp Storage Best Practices Guide

table into multiple partitions in order to manage the reprocessing of each partition separately. The multidimensional online analytical processing engine uses a new type of storage for string data that is more scalable than it was in previous versions of Analysis Services. Specifically, the restriction to a 4- gigabyte maximum file size no longer exists, but you must configure a dimension to use the new storage mode. The BI Semantic Model (BISM) schema in SQL Server 2012 is the successor to the Unified Dimensional Model schema introduced in SQL Server 2005. BISM supports both an entity approach that uses tables and relationships and a multidimensional approach that uses hierarchies and aggregations. This release extends Analysis Management Objects and XMLA to support the management of BISM models.
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Microsoft SQL Server Programming For Dummies pdf

Microsoft SQL Server Programming For Dummies pdf

As described in Chapter 2, a data type is a way of forcing data in a specific column to be of a specific kind and format. For example, a numeric data type only accepts numbers, whereas a string data type accepts alphanumeric characters. Alphnumeric characters include both numbers and letters. SQL Server 2005 supports an extensive range of data types that you can use in the tables that you create. Specifying a data type for each column in a SQL Server table is mandatory. It avoids the possibility that the wrong type of data is inserted into a column. For example, if one column of a table should accept only numeric values, but all columns in a database consist of varchar(30), you have no way to prevent character data being entered into the column. When some later processing expects numeric data in that column, errors are likely.
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Microsoft SQL Server 2008R2 Mirroring

Microsoft SQL Server 2008R2 Mirroring

SQL Server 2005 and SQL Server 2008 include many technologies that can be used to minimize downtime and maximize data protection so that database administrators can ensure smooth operation, continuous access to business critical data, and meet availability levels according to various service level agreements.

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HungryMinds   Microsoft SQL Server 2000 Weekend Crash Course pdf

HungryMinds Microsoft SQL Server 2000 Weekend Crash Course pdf

The hardware of 1970 is clearly not up to the task of running RDBMSes — rela- tional database management systems. As processing capabilities, memory, and data storage improved dramatically in the mid-1980s, it became feasible to run RDBMSes and numerous implementations begun to sprout, first for mainframe monsters (IBM DB2 and Oracle), and then for PC-based systems. Dbase by Ashton-Tate became an almost instantaneous success, and was followed by FoxPro, R:BASE, and Paradox. These database systems were relatively crude by today’s standards but they had the advantage of being the first relational PC-based databases. The evolution of data- base-management systems did not stop there; rather, it was taken to a new height with the advent of client/server computing databases in response to the need for data-sharing across the network.
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Administering Microsoft SQL Server 2012 Databases

Administering Microsoft SQL Server 2012 Databases

Managing SQL Server Agent JobsLab : Configure credentials. Describe the SQL Server Platform. Automating SQL Server Management Configure Proxy accounts. Work with SQL Server Tools. Create a Data Extraction Job Monitoring SQL Server Errors Configure SQL Server Services. Schedule the Data Extraction Job Configuring Operators, Alerts and Planning Server Resource Requirements Troubleshoot a Failing JobAfter completing NotificationsLab : Monitoring SQL Agent Pre-installation Testing for SQL ServerLab this module, students will be able to: Jobs with Alerts and Notifications : Preparing Systems for SQL Server Automate SQL Server Management. Configure Database Mail Adjust memory configuration Work with SQL Server Agent. Implement Notifications Pre-installation Stress Testing Manage SQL Server Agent jobs. Implement AlertsAfter completing this Check Specific I/O OperationsAfter Configuring Credentials module, students will be able to: completing this module, students will be Configuring Proxy AccountsLab : Configure database mail. able to:
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Microsoft SQL Server Best Practice Policies

Microsoft SQL Server Best Practice Policies

Checks whether a database has recent backups. Scheduling regular backups is important for protecting your databases against data loss from a variety of failures. The appropriate frequency for backing up data depends on the recovery model of the database, on business requirements regarding potential data loss, and on how frequently the database is updated. In a frequently updated database, the amount of work-loss exposure increases relatively quickly between backups. The best practice is to perform backups frequently enough to protect databases against data loss. The simple recovery model and full recovery model both require data backups. The full recovery model also requires log backups, which should be taken more often than data backups. For either recovery model, you can
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Microsoft SQL Server OLAP Solution A Survey

Microsoft SQL Server OLAP Solution A Survey

Data in a data warehouse is still in relational format, not able to meet performance and ease of use requirements of complex analytical queries that are multidimensional in their nature; OLAP provides data in so called OLAP cubes, designed specifically to improve query performance and ease of use when analytical queries are posed. As this is the focus of this report, the rest of this document covers OLAP concepts in SQL Server Analysis Services (SSAS). SSAS is one of Microsoft SQL Server 2008 components that provide OLAP support together with data mining functionalities.
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CoCreate Manager Server Installation Guide. CoCreate Manager Server Installation Guide 1

CoCreate Manager Server Installation Guide. CoCreate Manager Server Installation Guide 1

The Microsoft SQL Server 2005 Express Edition database installation is pre -configured to do an automatic database backup (including the transaction log) at midnight every night. An installation using a pre-installed database (any edition of Microsoft SQL Server 2005 or Oracle 10g) does not include an automatic database backup.

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Avoiding Common Analysis Services Mistakes. Craig Utley

Avoiding Common Analysis Services Mistakes. Craig Utley

• Read the Microsoft SQL Server 2005 Analysis Services Performance Guide.. Server Properties[r]

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Introducing Microsoft SQL Server 2014: Technical Overview - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

Introducing Microsoft SQL Server 2014: Technical Overview - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

Disaster-recovery and business-continuity planning are important requirements for many organiza- tions, both from a customer-service and a regulatory perspective. Data loss and system disasters can negatively impact an organization or even permanently shut it down. Hence, the need for disaster- recovery sites. Regrettably, many organizations still do not have a disaster-recovery site because of the high costs and maintenance challenges. To address these challenges, SQL Server 2012 supported secondary replicas on Windows Azure Virtual Machines. This meant that organizations could manage disaster recovery by building hybrid platforms using Microsoft’s cloud platform, known as Windows Azure. Organizations indicated that this opportunity addressed their disaster-recovery requirements, but it also created another issue. The configuration process for database administrators was manual and cumbersome at times. The product group responded to the feedback and has introduced the Add Azure Replica wizard in SQL Server 2014. The wizard automates and simplifies the deployment of on-premises replicas to Windows Azure. When configuring the replicas, a database administrator can choose any Windows Azure data center around the world; however, when a location is considered primarily in terms of latency and politics, the best location for the replicas is near the data center.
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Fujitsu Legacy Modernization Conversion of Microsoft Access to Microsoft SQL Server

Fujitsu Legacy Modernization Conversion of Microsoft Access to Microsoft SQL Server

It is important to recognize that not all Access databases need to be migrated; the majority of Microsoft Access databases are not identified as candidates for migration because they do not require attributes such as scalability, security, and reliability. However, those that do are prime candidates for migration to Microsoft SQL Server 2005/2008.

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Microsoft Access or Microsoft SQL Server: What's Right in Your Organization?

Microsoft Access or Microsoft SQL Server: What's Right in Your Organization?

Organizations have a wide range of database needs and resources. From simple, short-term needs to long-term mission critical requirements, organizations create and support a variety of databases. Choosing the right technology is an ongoing challenge. Many organizations struggle with deciding whether or when they should be using Microsoft® Access and Microsoft SQL Server™. Both are powerful and established database alternatives with their unique strengths and weaknesses. Microsoft Access is composed of two parts: the application layer and the data layer (Jet database engine). SQL Server only provides the data layer. The Access
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Dell Microsoft Operations Manager 2005 Microsoft SQL Server 2005

Dell Microsoft Operations Manager 2005 Microsoft SQL Server 2005

Microsoft Operations Manager Dell support.dell.com/support/edocs/software/smdmpac/2.0/ ug/ug.pdf. Microsoft Operations Manager[r]

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Benchmarking Microsoft SQL Server Using VMware ESX Server 3.5

Benchmarking Microsoft SQL Server Using VMware ESX Server 3.5

Storage latency plays a critical role in the ability of an application such as SQL Server to maintain the level of performance for the response times required by OLTP applications. Given that the host platform has no bottlenecks, both the storage array and the storage network must respond quickly to keep response times low. Proper storage array configuration minimizes device delays and the Brocade FC SAN ensures that there is no latency in the network. Latency is not a friend to OLTP environments, because it can cause application performance issues and higher response times. At worst, it triggers resource budgeting activities in the database servers, which can cause longer-term performance issues. In extreme cases, the database engine may decide that the device is no longer functional and shut down.
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ServerView Operations Manager V7.10

ServerView Operations Manager V7.10

The standardized management of all servers occurs via one or more central management stations, which you can access from any workstation in the network that has a popular Web browser and the Java Runtime Environment. Operations Manager controls the individual systems, including critical hardware components such as processors, RAM, hard disks, fans and power supply. It monitors and controls the power consumption, analyzes the performance and utilization data and updates the server configuration.

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