Sql Server Metadata
|
|
SQL Server Security $49.99 Addresses SQL Server vulnerabilities and provides security solutions. Covers installation, administration, and programming–plus security issues such as authentication, encryption, intrusion detection, and more. Written for IT professionals administering or programming any SQL Server-based application–includes coverage of SQL Server 7, SQL Server 2000, and SQL Server (Yukon). |
|
|
Mastering SQL Server Profiler $27.93 SQL Server Profiler is one of the most useful of SQL Server’s "built-in" tools, recording data about various SQL Server events. "Mastering SQL Server Profiler" will make it easier for you to learn how to use Profiler, analyze the data it provides, and to take full advantage of its potential for troubleshooting SQL Server problems. All the examples have been optimized to work with both SQL Server 2005 and 2008. |
|
|
Learning SQL on SQL Server 2005 $35.99 Anyone who interacts with today’s modern databases needs to know SQL (Structured Query Language), the standard language for generating, manipulating, and retrieving database information. In recent years, the dramatic rise in the popularity of relational databases and multi-user databases has fueled a healthy demand for application developers and others who can write SQL code efficiently and correctly. If you’re new to databases, or need a SQL refresher, Learning SQL on SQL Server 2005 is an ideal step-by-step introduction to this database query tool, with everything you need for programming SQL using Microsoft’s SQL Server 2005-one of the most powerful and popular database engines used today. Plenty of books explain database theory. This guide lets you apply the theory as you learn SQL. You don’t need prior database knowledge, or even prior computer knowledge. Based on a popular university-level course designed by authors Sikha Saha Bagui and Richard Walsh Earp, Learning SQL on SQL Server 2005 starts with very simple SQL concepts, and slowly builds into more complex query development. Every topic, concept, and idea comes with examples of code and output, along with exercises to help you gain proficiency in SQL and SQL Server 2005. With this book, you’ll learn: Beginning SQL commands, such as how and where to type an SQL query, and how to create, populate, alter and delete tables How to customize SQL Server 2005′s settings and about SQL Server 2005′s functions About joins, a common database mechanism for combining tables Query development, the use of views and other derived structures, and simple set operations Subqueries, aggregate functions and correlated subqueries, as well as indexes and constraints that can be added to tables in SQL Server 2005 Whether you’re an undergraduate computer science or MIS student, a self-learner who has access to the new Microsoft database, or work for your company’s IT department, Learning SQL on SQL Server 2005 will get you up to speed on SQL in no time. |
|
|
Building a Data Warehouse: With Examples in SQL Server $72.55 Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The RDBMS used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later. The book is organized as follows. In the beginning of this book (Chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in Chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in Chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation. What you’ll learn A detailed understanding of what it takes to build a data warehouse The implementation code in SQL Server to build the data warehouse Dimensional modeling, data extraction methods, data warehouse loading, populating dimension and fact tables, data quality, data warehouse architecture, and database design Practical data warehousing applications such as business intelligence reports, analytics applications, and customer relationship management Who is this book for? There are three audiences for the book. The first are the people who implement the data warehouse. This could be considered a field guide for them. The second is database users/admins who want to get a good understanding of what it would take to build a data warehouse. Finally, the third audience is managers who must make decisions about aspects of the data warehousing task before them and use the book to learn about these issues. |
|
|
Professional SQL Server 2005 Reporting Services $39.99 SQL Server Reporting Services is the customizable reporting solution for report designers and programmers. This hands-on guide will get you up to speed quickly so you can design, deploy, manage, and even customize reporting solutions. You can create powerful reports without programming knowledge and extend reporting solutions using VB, C#, and ASP.NET. Packed with detailed examples of building reports, designing report solutions, and developing deployment strategies for interacting with various platforms, this book prepares you to take full advantage of this revolutionary tool. Plus, you’ll learn how to extend practically every feature of Reporting Services by implementing your own security architecture or adding custom data access. What you will learn from this book Details of programming reports and report scripting Advanced report design, including drill-down reports, nested lists, drill-through, links, and dynamic content High-level strategies for business and support systems Rendering reports using .NET code, .NET IO namespace classes, and URL rendering deployment strategies to handle hardware, software, and platform considerations, licensing issues, and scaling options How to design reports for mobile services Various tools used to define data sources and semantic metadata models How to use parameters and expressions to define creative report solutions Advanced object-oriented programming techniques, with examples in C# and VB 2005. Who this book is for This book is for report designers, developers, administrators, and business professionals interested in learning the advanced functionality, report server administration, and security issues of SQL Server 2005 Reporting Services. Wrox Professional guides are planned and written by working programmers to meet the real-world needs of programmers, developers, and IT professionals. Focused and relevant, they address the issues technology professionals face every day. They provide examples, practical solutions, and expert education in new technologies, all designed to help programmers do a better job. |
|
|
MySQL in a Nutshell (In a Nutshell (O’Reilly)) $27.99 MySQL is the world’s most popular open source database. MySQL is designed for speed, power, and flexibility in mission-critical, heavy-use environments and modest applications as well. It’s also surprisingly rich in features. If you’re a database administrator or programmer you probably love the myriad of things MySQL can do, but sometimes wish there wasn’t such a myriad of things to remember. Wit… |
Performance Intelligence for Oracle SQL Tuning
A set of metrics which measures past trend data, called Performance Intelligence, is often studied to find solutions to performance problems. Conventional business intelligence helps the Oracle SQL performance tuning on Oracle databases.
Get some more information on Oracle SQL performance tuning.
Performance Intelligence can be used to analyze millions of granular data points, captured in the Performance Data Warehouse along multiple dimensions, and identify which issues have most impact on the end user. By studying the most common end user difficulties, then the most critical issues impacting the Oracle SQL performance tuning can be assessed. DBAs and application developers can then address root causes of performance issues before they further complicate Oracle SQL tuning efforts.
Discover the benefits of Oracle SQL tuning.
Better Oracle SQL Performance Tuning through Performance Intelligence
Application wait time is the key focus of Performance Intelligence and aids in clearing up SQL Server query blockages. The key concepts and measurements of performance intelligence include:
- Focus on Time Measurement Instead of Counting Operations
As an end user, your main interest is the wait time you face in order to complete the task at hand. When they are forced to wait, they normally view this as a problem with the application. Performance Intelligence measures this part of the user experience wait time and helps to minimize this going forward.
- Concentrate on Queries
Wait time is examined to its fullest during the Performance Intelligence breakdown and measures the level of SQL queries as well as individual sessions. The capture of data at the individual query level gives a more complete picture of system performance than across an entire instance or database.
- Continuous Capture
Performance intelligence monitors all sessions, all of the time. This constant monitoring makes it easier to catch any issue that may warrant phone calls from the end user. Intermittent tracing misses problems as they are happening.
- Locating Historical Data
When you are trying to fix an issue, it helps to look at historical data and trends first. Performance Intelligence tracks the full history which can later be used to compare current trends and help find a resolution to the problem.
A focus on end user wait time is the key to better SQL server performance. With Performance Intelligence, the DBA can look at the applications from the users point of view which can greatly improve database performance.
|
|
Building a Data Warehouse: With Examples in SQL Server $64.99 Now available in paperback—Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later.The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.What you’ll learn A detailed understanding of what it takes to build a data warehouse The implementation code in SQL Server to build the data warehouse Dimensional modeling, data extraction methods, data warehouse loading, populating dimension and fact tables, data quality, data warehouse architecture, and database design Practical |
|
|
Building a Data Warehouse: With Examples in SQL Server $64.99 Now available in paperback—Building a Data Warehouse: With Examples in SQL Server describes how to build a data warehouse completely from scratch and shows practical examples on how to do it. Author Vincent Rainardi also describes some practical issues he has experienced that developers are likely to encounter in their first data warehousing project, along with solutions and advice. The relational database management system (RDBMS) used in the examples is SQL Server; the version will not be an issue as long as the user has SQL Server 2005 or later.The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.What you’ll learn A detailed understanding of what it takes to build a data warehouse The implementation code in SQL Server to build the data warehouse Dimensional modeling, data extraction methods, data warehouse loading, populating dimension and fact tables, data quality, data warehouse architecture, and database design Practical |