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Illustrating some of the most common misconceptions and pitfalls software developers face using relational databases, this book helps readers use a database to produce the most efficient results, and turn sluggish, inflexible code into high-quality, reliable solutions.
Ralph Kimball, Margy Ross
Ralph Kimball invented a data warehousing technique called ?dimensional modelling? and popularised it in his first Wiley bestseller The Data Warehouse Toolkit. Since then dimensional modelling has become the most widely accepted technique for data warehouse design. Since the first edition, Kimball has improved on his earlier techniques and created many new ones. In this second edition, he provides a comprehensive collection of all of them, from basic to advanced, and strategies for optimising data warehouse design for common business applications. He includes examples for retail sales, inventory management, procurement, orders and invoices, customer relationship management, accounting, financial services, telecommunication and utilities, health care, insurance and more. He also presents unique modelling techniques for e-commerce and shows strategies for optimising performance. A companion Web site provides updates on dimensional modelling techniques, links to related sites and source code where appropriate.
Delve inside the core SQL Server engine--and put that knowledge to work--with guidance from a team of well-known internals experts. Whether database developer, architect, or administrator, you'll gain the deep knowledge you need to exploit key architectural changes--and capture the product's full potential. Discover how SQL Server works behind the scenes, including: What happens internally when SQL Server builds, expands, shrinks, and moves databases How to use event tracking--from triggers to the Extended Events Engine Why the right indexes can drastically reduce your query execution time How to transcend normal row-size limits with new storage capabilities How the Query Optimizer operates Multiple techniques for troubleshooting problematic query plans When to force SQL Server to reuse a cached query plan--or create a new one What SQL Server checks internally when running DBCC How to choose among five isolation levels and two concurrency models when working with multiple concurrent users
Julia Lerman, Rowan Miller
Annotation Code first is an additional means of building a model to be used with the Entity Framework and is creating a lot of excitement in the .NET development community. The reader will begin with an overview of what code first is, why it was created, how it fits into the Entity Framework and when to use it over the alternatives.
Explains how to tune SQL (Structured Query Language) queries to achieve optimal performance, regardless of the database platform, covering such topics as how to understand and control SQL execution plans and how to diagram SQL queries for the best execution plan for the query, in a tutorial that includes hands-on exercises to reinforce concepts. Original. (Advanced)
Raghu Ramakrishnan, Johannes Gehrke
Database Management Systems provides comprehensive and up-to-date coverage of the fundamentals of database systems. Coherent explanations and practical examples have made this one of the leading texts in the field. The third edition continues in this tradition, enhancing it with more practical material. The new edition has been reorganized to allow more flexibility in the way the course is taught. Now, instructors can easily choose whether they would like to teach a course which emphasizes database application development or a course that emphasizes database systems issues. New overview chapters at the beginning of parts make it possible to skip other chapters in the part if you don't want the detail. More applications and examples have been added throughout the book, including SQL and Oracle examples. The applied flavor is further enhanced by the two new database applications chapters.
Take an in-depth look at the internals of the SQL Server Storage Engine--with advice from a popular author and SQL Server expert. Database developers and administrators get best practices, pragmatic advice, and code samples to help master the intricacies of creating and maintaining enterprise relational databases. Discover how to: Upgrade or migrate to SQL Server 2005 and choose configuration options Control space allocation for databases and files manually or automatically Manage transaction logs to maximize efficient restore operations and data consistency Observe the internal structures of clustered and nonclustered indexes Build and partition relational indexes and tables Explore internal storage issues and compare fixed- and variable-length datatypes Detect and correct index fragmentation Implement and manage an appropriate concurrency model using locking or row versioning PLUS--Get code samples on the Web.
Christian Bolton, Justin Langford, Brent Ozar, James Rowland-Jones, Jonathan Kehayias, Cindy Gross, Steven Wort
A hands-on resource for SQL Server 2008 troubleshooting methods and tools SQL Server administrators need to ensure that SQL Server remains running 24/7. Authored by leading SQL Server experts and MVPs, this book provides in-depth coverage of best practices based on a deep understanding of the internals of both SQL Server and the Windows operating system. You'll get a thorough look at the SQL Server database architecture and internals as well as Windows OS internals so that you can approach troubleshooting with a solid grasp of the total processing environment. Armed with this comprehensive understanding, readers will then learn how to use a suite of tools for troubleshooting performance problems whether they originate on the database server or operating system side. Topics Covered: SQL Server Architecture Understanding Memory SQL Server Waits and Extended Events Working with Storage CPU and Query Processing Locking and Latches Knowing Tempdb Defining Your Approach To Troubleshooting Viewing Server Performance with PerfMon and the PAL Tool Tracing SQL Server with SQL Trace and Profiler Consolidating Data Collection with SQLDiag and the PerfStats Script Introducing RML Utilities for Stress Testing and Trace File Analysis Bringing It All Together with SQL Nexus Using Management Studio Reports and the Performance Dashboard Using SQL Server Management Data Warehouse Shortcuts to Efficient Data Collection and Quick Analysis Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.
Paul Nielsen, Kalen Delaney, Adam Machanic
This book presents the collective wisdom of more than 30 of today's leading SQL Server experts. This high-powered group is writing because of another passion it shares--all author royalties will be donated to help child victims of war, worldwide.
David Rozenshtein, Anatoly Abramovich, Eugene Birger
Encoded characteristic functions (ECF) is a new, innovative SQL programming methodology which allows programmers to encode conditional logic as scalar expressions within certain clauses. These extremely powerful techniques are presented by the authors of ECF in "Optimizing Transact-SQL".
This essential reference is designed for database developers and administrators who need to write queries and develop code using Transact-SQL (T-SQL), the Microsoft implementation of the standard SQL language. Guided by SQL Server guru Itzik Ben-Gan, you'll walk through the steps for writing queries, including retrieving and modifying data, with an overview of programmable objects supported by SQL Server 2008. Rather than focusing just on the syntactical elements of T-SQL, however, this book explains the logic behind the language -- helping you develop a true, core understanding of the elements and how to use them. You will learn to think in terms of sets, and follow real-world best practices for T-SQL programming.To complement the learning experience, the book provides exercises to practice and apply what you've learned. And you'll examine recommended solutions to compare with your own work.
Provides information on the features and functions of Reporting Services to turn enterprise data into a variety of reports.
The world of data warehousing has changed remarkably since the first edition of The Data Warehouse Lifecycle Toolkit was published in 1998. With this new edition, Ralph Kimball and his colleagues have refined the original set of Lifecycle methods and techniques based on their consulting and training experience. They walk you through the detailed steps of designing, developing, and deploying a data warehousing/business intelligence system. With substantial new and updated content, this second edition again sets the standard in data warehousing for the next decade.
Explores the foundations of SQL and Transact-SQL programming to teach readers how to develop coding techniques and discover solutions to programming problems, then covers practices, design considerations, and advanced topics.
James Groff, Paul Weinberg, Andy Oppel
The Definitive Guide to SQL Get comprehensive coverage of every aspect of SQL from three leading industry experts. Revised with coverage of the latest RDBMS software versions, this one-stop guide explains how to build, populate, and administer high-performance databases and develop robust SQL-based applications. SQL: The Complete Reference, Third Edition shows you how to work with SQL commands and statements, set up relational databases, load and modify database objects, perform powerful queries, tune performance, and implement reliable security policies. Learn how to employ DDL statements and APIs, integrate XML and Java scripts, use SQL objects, build web servers, handle remote access, and perform distributed transactions. Techniques for managing in-memory, stream, and embedded databases that run on today's mobile, handheld, and wireless devices are included in this in-depth volume. Build SQL-based relational databases and applications Create, load, and modify database objects using SQL Construct and execute simple, multitable, and summary queries Implement security measures with authentication, privileges, roles, and views Handle database optimization, backup, recovery, and replication Work with stored procedures, functions, extensions, triggers, and objects Extend functionality using APIs, dynamic SQL, and embedded SQL Explore advanced topics such as DBMS transactions, locking mechanisms, materialized views, and two-phase commit protocol Understand the latest market trends and the future of SQL
A guide to Transact-SQL, the database programming and query language of SQL Server, provides information on such topics as tracking data modifications, tables, full-text searching, views, server functions, stored procedures, and error handling.
Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat
Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.
Brian Knight, Erik Veerman, Jessica M. Moss, Mike Davis, Chris Rock
Provides advice on using the latest version of the software for performing extraction, transformation, and load operations, along with information on best practices developed since the previous update.
Leverage the power of SQL and Excel to perform business analysis Three key efforts are essential to effectively transform data into actionable information: retrieving data with SQL, presenting data with Excel, and understanding statistics as the foundation of data analysis. Data mining expert Gordon Linoff focuses on these topics and shows you how SQL and Excel can be used to extract business information from relational databases. He begins by taking a look at how data is central to the task of understanding customers, products, and markets, and he then goes on to show you how to use that data to define business dimensions, store transactions about customers, and summarize important data to produce results. Along the way, he shares stories based on his personal experience in the field, intended to enrich your understanding of why some things work--and others don't. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what you can expect the results to look like. Throughout the book, critical features of Excel are highlighted, interesting uses of Excel graphics are explained, and dataflows and graphical representations of data processing are used to illustrate how SQL works. "Data Analysis Using SQL and Excel" shares hints, warnings, and technical asides about Excel, SQL, and data analysis/mining. The book also discusses: How entity-relationship diagrams describe the structure of data Ways to use SQL to generate SQL queries Descriptive statistics, such as averages, p-values, and the chi-square test How to incorporate geographic information into data analysis Basic ideas of hazard probabilities and survival How data structures summarize what a customer looks like at a specific point in time Several variants of linear regression The companion Web site provides the data sets, Excel spreadsheets, and examples featured in the book.