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Titlebook: Beginning T-SQL; A Step-by-Step Appro Kathi Kellenberger,Lee Everest Book 2021Latest edition Kathi Kellenberger, Lee Everest 2021 T-SQL.Tra

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发表于 2025-3-21 16:24:33 | 显示全部楼层 |阅读模式
期刊全称Beginning T-SQL
期刊简称A Step-by-Step Appro
影响因子2023Kathi Kellenberger,Lee Everest
视频video
发行地址Takes a performance-focused approach showing you how different techniques can affect query execution times.Valuable for beginners and intermediate T-SQL developers who want to improve their skills.Pro
图书封面Titlebook: Beginning T-SQL; A Step-by-Step Appro Kathi Kellenberger,Lee Everest Book 2021Latest edition Kathi Kellenberger, Lee Everest 2021 T-SQL.Tra
影响因子.Get a performance-oriented introduction to the T-SQL language underlying the Microsoft SQL Server and Azure SQL database engines. This fourth edition is updated to include SQL Notebooks as well as up-to-date syntax and features for T-SQL on-premises and in the Azure cloud. Exercises and examples now include the WideWorldImporters database, the newest sample database from Microsoft for SQL Server. Also new in this edition is coverage of JSON from T-SQL, news about performance enhancements called Intelligent Query Processing, and an appendix on running SQL Server in a container on macOS or Linux. .Beginning T-SQL. starts you on the path to mastering T-SQL with an emphasis on best practices. Using the sound coding techniques taught in this book will lead to excellent performance in the queries that you write in your daily work. Important techniques such as windowing functions are covered to help you write fast-executing queries that solve real business problems.The book begins with an introduction to databases, normalization, and to setting up your learning environment. You will learn about the tools you need to use such as SQL Server Management Studio, Azure Data Studio, and SQL Not
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Building on Subqueries, Common Table Expressions, and Unions,other ways to combine tables in a query. . and . (CTEs) allow you to isolate the logic of complex queries. . allow you to combine the results of two independent queries into one result set. The first thing you will learn in this chapter is how to substitute a query for a hard-coded . list.
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Grouping and Summarizing Data,tions. Chapters 5 and 6 taught you how to write queries with multiple tables so that the data makes sense in applications and reports. Now it’s time to learn about a special type of query, ., used to group and summarize data. You may find that writing aggregate queries is more challenging than the o
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Advanced WHERE Clauses,; however, there is still more to learn. This chapter will discuss using the comparison operator . and matching against a partial value or a pattern, full-text search, . clauses with more than two predicates, and the . function.
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Managing Transactions,g data: transactions. A . is a unit of work in SQL Server. Most of the time, a transaction is one statement that inserts, updates, or deletes data. It is possible, however, to define an explicit transaction that includes one or more statements. You can also include . statements in a transaction. A t
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