Bøger af Louis Davidson

Use the graph table features in Azure SQL that were introduced in SQL Server 2017 and further refined in SQL Server 2019. This book shows you how to create data structures to capture complex connections between items in your data. These connections will help you analyze and draw insights from connections in your data that go beyond classic relationships. The graph examples in the book are useful for analyzing social media relationships, complex product-to-customer relationships, and any other type of data analysis in which indirect connections that otherwise might be missed using conventional techniques can be mined for their insight and business value. Tree structures are covered, with emphasis on a structure commonly used by organizations to aggregate data at different levels of an organization. The book provides code examples of SQL Graph objects as well as an alternate tree implementation technique. Included is sample data (and data generators) for you to test for performance and choose the implementation approach that best suits your needs and that of your application.If your job involves analyzing or storage of data elements that are connected in a networked topology, then this is the book that will help you bring the power of SQL Server to bear on that data and take advantage of your existing knowledge. What You Will LearnUnderstand the graph model and the associated terms used in graph analysisStore highly connected data in SQL Server and Azure SQL alongside existing relational dataMake full use of the graph table feature that is refined and enhanced in SQL Server 2019Implement high performance tree structures that will make storing and querying tree data possibleReport on data associated with a tree structure to aggregate results at different levelsWho This Book Is For

Learn effective and scalable database design techniques in a SQL Server environment. Pro SQL Server 2008 Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of the design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, authors Louis Davidson, Kevin Kline, Scott Klein, and Kurt Windisch show how to 'get it right' in SQL Server database design and lay a solid groundwork for the future use of valuable business data. Solid foundation in best practices and relational theory Maximize SQL Server features to enhance security, performance, scalability Thorough treatment from conceptual design to an effective, physical implementation

Database design is one of the most contentious issues in computer science. There is always a delicate balance to be struck between the strict academic rules that govern the design of relational databases and the real-world techniques that programmers apply to get the job done in a certain time frame. This book's goal is to coverfrom a "e;real-world"e; point of viewall of the essential elements in designing, modeling, and building efficient relational databases, while avoiding a dry, theoretical approach. Author Louis Davidson explains the process of implementing a database—from generating tables and allowing access to these tables using Microsoft SQL Server 2000. This includes tackling data modeling (focusing on the IDEF1X notation), requirements gathering, normalization (beyond the Third Normal Form), and implementing tables, constraints, triggers, procedures, user-defined functions, and so on. Davidson provides a full and realistic case study that clearly illustrates the entire process, from the initial discussions of a client's needs, through development of a logical model, to a complete implementation of the system.

Stored procedures are compiled T-SQL statements that reside on the database. They are the cornerstones of successful data manipulation, and data-handling operations of every complexity make use of them. This book is an in-depth guide to a key area of database development.This book tackles real-world problems faced by developers when working with stored procedures, showing you how to solve these problems, avoid the common pitfalls, and produce faster, more robust stored procedures. Put simply: if you want to write better stored procedures, then this is the book for you.

Learn effective and scalable database design techniques in a SQL Server 2016 and higher environment. This book is revised to cover in-memory online transaction processing, temporal data storage, row-level security, durability enhancements, and other design-related features that are new or changed in SQL Server 2016. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for forty years coupled with technology that is constantly changing. Pro SQL Server Relational Database Design and Implementation covers everything from design logic that business users will understand, all the way to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, Louis Davidson shows how to "e;get it right"e; in SQL Server database design and lay a solid groundwork for the future use of valuable business data.The pace of change in relational database management systems has been tremendous these past few years. Whereas in the past it was enough to think about optimizing data residing on spinning hard drives, today one also must consider solid-state storage as well as data that are constantly held in memory and never written to disk at all except as a backup. Furthermore, there is a trend toward hybrid cloud and on-premise database configurations as well a move toward preconfigured appliances. Pro SQL Server Relational Database Design and Implementation guides in the understanding of these massive changes and in their application toward sound database design.Gives a solid foundation in best practices and relational theoryCovers the latest implementation features in SQL Server 2016Helps you master in-memory OLTP and use it effectivelyTakes you from conceptual design to an effective, physical implementationWhat You Will LearnDevelop conceptual models of client data using interviews and client documentationRecognize and apply common database design patternsNormalize data models to enhance scalability and the long term use of valuable dataTranslate conceptual models into high-performing SQL Server databasesSecure and protect data integrity as part of meeting regulatory requirementsCreate effective indexing to speed query performanceWho This Book Is ForProgrammers and database administrators of all types who want to use SQL Server to store data. The book is especially useful to those wanting to learn the very latest design features in SQL Server 2016, features that include an improved approach to in-memory OLTP, durability enhancements, temporal data support, and more. Chapters on fundamental concepts, the language of database modeling, SQL implementation, and of course, the normalization process, lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the very latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2016.

This book will teach you how to harness the capabilities of SQL Server and the cloud database by taking you through the steps to deploy the server in Azure virtual machine effectively.

Dynamic Management Views (DMVs) are a significant and valuable addition to the DBA's troubleshooting armory, laying bare previously unavailable information regarding the under-the-covers activity of your database sessions and transactions. Why, then, aren't all DBAs using them? Why do many DBAs continue to ignore them in favour of "tried and trusted" tools such as sp_who2, DBCC OPENTRAN, and so on, or make do with the "ready made" reports built into SSMS? Why do even those that do use the DMVs speak wistfully about "good old sysprocesses"? There seem to be two main factors at work. Firstly, some DBAs are simply unaware of the depth and breadth of the information that is available from the DMvs, or how it might help them troubleshoot common issues. This book investigates all of the DMVs that are most frequently useful to the DBA in investigating query execution, index usage, session and transaction activity, disk IO, and how SQL Server is using or abusing the operating system. Secondly, the DMVs have a reputation of being difficult to use. In the process of exposing as much useful data as possible, sysprocesses has been de-normalized, and many new views and columns have been added. This fact, coupled with the initially-baffling choices of what columns will be exposed where, has lead to some DBAs to liken querying DMVs to "collecting mystic spells". In fact, however, once you start to write your own scripts, you'll see the same tricks, and similar join patterns, being used time and again. As such, a relatively small core set of scripts can be readily adapted to suit any requirement. This book is here to de-mystify the process of collecting the information you need to troubleshoot SQL Server problems. It will highlight the core techniques and "patterns" that you need to master, and will provide a core set of scripts that you can use and adapt for your own systems, including how to: * Root out the queries that are causing memory or CPU pressure on your system * Investigate caching, and query plan reuse * Identify index usage patterns * Track fragmentation in clustered indexes and heaps * Get full details on blocking and blocked transactions, including the exact commands being executed, and by whom. * Find out where SQL Server is spending time waiting for resources to be released, before proceeding * Monitor usage and growth of tempdb The DMVs don't make existing, built-in, performance tools obsolete. On the contrary, they complement these tools, and offer a flexibility, richness and granularity that are simply not available elsewhere. Furthermore, you don't need to master a new GUI, or a new language in order to use them; it's all done in a language all DBAs know and mostly love: T-SQL.