MS SQL SERVER 2008 EBOOK
We're thrilled to publish another free ebook: Introducing Microsoft SQL Server R2, by Ross Mistry and Stacia Misner! The book contains. DATABASE ADMINISTRATION. CHAPTER 1. SQL Server R2 Editions and Enhancements. 3. CHAPTER 2. Multi-Server Administration. CHAPTER 3. Microsoft, Microsoft Press, Active Directory, ActiveX, Excel, Internet Explorer, MSDN, PowerPoint, SQL Server, Visio,. Visual Basic, Visual C#.
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Let me start with a few words about the lead author of this book, Itzik Ben-Gan. He is a mentor, consultant, presenter, teacher, and writer. All his roles have a. Microsoft SQL Server Internals. Kalen Delaney et al. ISBN Inside Microsoft SQL Server T-SQL Querying. Itzik Ben-Gan, Lubor. Editorial Reviews. From the Back Cover. Thoroughly updated to reflect Microsoft SQL Server 's newest features and best practices, Microsoft SQL Server.
People are prone to make errors. Sometimes our customers do not provide us with accurate and timely data. Sometimes an application has a bug and makes errors in the data. Sometimes end users unintentionally make a transposition of letters or numbers. Sometimes we have more than one application in an enterprise, and in each application we have slightly different definitions of the data. We could continue listing data problems forever.
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A good and suitable data model, like the Relational Model, enforces data integrity through the schema and through constraints. Unfortunately, many developers still do not understand the importance of a good data model. Nevertheless, even with an ideal model, we cannot enforce data quality.
Data integrity means that the data is in accordance with our business rules; it does not mean that our data is correct. Not all data is equally important. In an enterprise, we can always find the key data, such as customer data. This key data is the most important asset of a company. We call this kind of data master data. This book deals with master data.
Quick links: Description Table of Contents Reviews Authors. Skip to the end of the images gallery. Skip to the beginning of the images gallery. Read Now Look inside. Table of contents.
Introduction Preparing new Failover Cluster features Installing and configuring Failover Cluster Services Recovering and troubleshooting Failover Cluster Failure Implementing Database Mirroring features and performance enhancements Managing Database Mirroring in a Failover Cluster environment Managing Log Shipping scenarios in a Database Mirroring environment Improving Replication scalability at multiple sites Implementing compressed storage features for tables and indexes Designing a storage solution for unstructured data and new collations Designing data partitioning solutions for tables and indexes Implementing sparse columns and wide table features Designing spatial data storage methods Deploying and managing data-tier applications.
Introduction Implementing systematized monitoring methods for data platform optimization Designing a filtered indexes and statistics feature Implementing table hints for advanced query tuning performance Implementing query hints for optimized performance Designing sustainable locking methods to improve concurrency Implementing parallel query processing methods Implementing the plan guide to enhance compile-time and run-time execution plans Configuring and managing storage systems for optimized defragmentation processes Building best usage processes of Dynamic Management Views Implementing a benchmarking framework on multiple instances.
Introduction Automated administration across an enterprise Administrating resource health policies Administrating multiple Analysis Services using Tools Managing events capture to troubleshoot problems. Add to Cart. What do I get with a Packt subscription? Exclusive monthly discount - no contract Unlimited access to entire Packt library of over eBooks and Videos new titles added every month on new and emerging tech.
Free ebook: Introducing Microsoft SQL Server 2008 R2
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There's more. Working with Data-Tier applications. Designing applications to use federated servers. Designing automated administration practices. Implementing Security feature enhancements. Implementing Availability feature enhancements. Implementing, Monitoring, and Tuning for performance.
Troubleshooting multi-server instances with utility administration. Implementing Central Management feature enhancements. Managing the Utility Control Point data warehouse database. Designing and refreshing a Scalable Shared database. Multiserver Management Using Utility Explorer. Managing the ETL process efficiently. Planning and implementing Self-Service Business Intelligence services.
Implementing SQL Azure connectivity features. Installing and configuring a Master Data Services Solution. Designing and deploying framework to use Master Data Services.
Preparing new Failover Cluster features. Installing and configuring Failover Cluster Services. Recovering and troubleshooting Failover Cluster Failure. Implementing Database Mirroring features and performance enhancements. Managing Database Mirroring in a Failover Cluster environment.
Managing Log Shipping scenarios in a Database Mirroring environment. Improving Replication scalability at multiple sites. Implementing compressed storage features for tables and indexes.
Designing a storage solution for unstructured data and new collations. Designing data partitioning solutions for tables and indexes. Implementing sparse columns and wide table features.
Designing spatial data storage methods. Deploying and managing data-tier applications.
Implementing auditing and service level security features. Managing server-level securable and database-level permissions. Implementing backup compression for a VLDB environment.
Designing change tracking methodology. Implementing Policy-Based Management features. Designing Transparent Data Encryption features. Implementing performance baseline practices.
Monitoring resource usage with Extended Events. Implementing Management Data Warehouse features. Designing maintenance tasks on a mission-critical environment.
Implementing Piecemeal restore strategies. Planning and designing of a Disaster Recovery environment.
Configuring a manageable database consistency and integrity process for multiple databases and a VLDB environment. Configuring a server storage system for scalability. Configuring SQL server storage architecture for quick recovery.
Managing a storage system for analyzing bottlenecks. Implementing systematized monitoring methods for data platform optimization. Designing a filtered indexes and statistics feature. Implementing table hints for advanced query tuning performance.
Implementing query hints for optimized performance. Designing sustainable locking methods to improve concurrency. Implementing parallel query processing methods.
Implementing the plan guide to enhance compile-time and run-time execution plans. Configuring and managing storage systems for optimized defragmentation processes. Building best usage processes of Dynamic Management Views. Implementing a benchmarking framework on multiple instances.
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Automated administration across an enterprise. Administrating resource health policies. Administrating multiple Analysis Services using Tools.
Managing events capture to troubleshoot problems.May 7, at 6: The book then dives deep into topics such as administration of core Business Intelligence Services, management of core SQL Server R2 technologies, availability, security, and programmability, implementing new manageability features and practices, and maintenance and monitoring, amongst others.
I am really looking forward to the MDS section. But in many cases, applications can be moved with little or no code change. According to the Redmond company, IT pros, such as database administrators DBAs , application developers, and even decision makers will find enough information in the resource to understand the capabilities of SQL Server R2.