Refactoring Legacy T Sql Improved by Bohm Lisa (23 results)

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  • Language: English

    Published by Apress L. P., 2020

    1484255801 / 9781484255803

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    Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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    Condition: New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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  • Language: English

    Published by APress, US, 2020

    1484255801 / 9781484255803

    • Softcover

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    Paperback. Condition: New. Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database.Legacy code isn't just found in queries and external applications. It's also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm explains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability. What You Will LearnFind specific areas in code to target for performance gainsIdentify pain points quickly and understand why they are problematicRewrite legacy T-SQL to reduce or eliminate hidden performance issuesWrite modern code with an awareness of readability and maintainabilityRecognize and correlate T-SQL anti-patterns with techniques for better solutionsMake a positive impact on application user experience in your organizationWho This Book Is ForDatabase administrators or developers who maintain older code, those frustrated with complaints about slow codewhen there is so much of it to fix, and those who want a head start in making a positive impact on application user experience in their organization.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

    • Softcover
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    Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrelandKennys Bookshop and Art Galleries Ltd.

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    Condition: New. 2020. 1st ed. paperback. . . . . .

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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    Paperback. Condition: Brand New. 257 pages. 10.00x7.00x0.50 inches. In Stock.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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    Condition: New. In English.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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    Condition: New. 2020. 1st ed. paperback. . . . . . Books ship from the US and Ireland.

  • Language: English

    Published by Apress 2020-01, 2020

    1484255801 / 9781484255803

    • Softcover

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  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

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  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

    • Softcover

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    Paperback. Condition: Good. Ex-library book, usual markings. Clean text, sound binding. Quick dispatch from UK seller.

  • Language: English

    Published by Apress, Incorporated, 2020

    1484255801 / 9781484255803

    • Softcover

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    Condition: New. pp. XXI, 236 11 illus. 1st ed. edition NO-PA16APR2015-KAP.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

    • Softcover

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    Taschenbuch. Condition: Neu. Refactoring Legacy T-SQL for Improved Performance | Modern Practices for SQL Server Applications | Lisa Bohm | Taschenbuch | xxi | Englisch | 2020 | Apress | EAN 9781484255803 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

    • Softcover

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  • Language: English

    Published by APress, US, 2020

    1484255801 / 9781484255803

    • Softcover

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    Paperback. Condition: New. Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database.Legacy code isn't just found in queries and external applications. It's also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm explains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability. What You Will LearnFind specific areas in code to target for performance gainsIdentify pain points quickly and understand why they are problematicRewrite legacy T-SQL to reduce or eliminate hidden performance issuesWrite modern code with an awareness of readability and maintainabilityRecognize and correlate T-SQL anti-patterns with techniques for better solutionsMake a positive impact on application user experience in your organizationWho This Book Is ForDatabase administrators or developers who maintain older code, those frustrated with complaints about slow codewhen there is so much of it to fix, and those who want a head start in making a positive impact on application user experience in their organization.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

    • Softcover
    • Print on Demand

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  • Language: English

    Published by Apress Jan 2020, 2020

    1484255801 / 9781484255803

    • Softcover
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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database.Legacy code isn't just found in queries and external applications. It's also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm explains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability.What You Will LearnFind specific areas in code to target for performance gainsIdentify pain points quickly and understand why they are problematicRewrite legacy T-SQL to reduce or eliminate hidden performance issuesWrite modern code with an awareness of readability and maintainabilityRecognize and correlate T-SQL anti-patterns with techniques for better solutionsMake a positive impact on application user experience in your organizationWho This Book Is ForDatabase administrators or developers who maintain older code, those frustrated with complaints about slow codewhen there is so much of it to fix, and those who want a head start in making a positive impact on application user experience in their organization 236 pp. Englisch.

  • Language: English

    Published by Apress, Incorporated, 2020

    1484255801 / 9781484255803

    • Softcover
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    Condition: New. Print on Demand pp. XXI, 236 11 illus.

  • Language: English

    Published by Apress, Incorporated, 2020

    1484255801 / 9781484255803

    • Softcover
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    Condition: New. PRINT ON DEMAND pp. XXI, 236 11 illus.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

    • Softcover
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    Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Helps to mitigate technical debt found in legacy codeShows how to target performance pain points commonly found in older codePromotes awareness of modern coding techniques yielding str.

  • Language: English

    Published by Apress, 2020

    1484255801 / 9781484255803

    • Softcover
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    Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database.Legacy code isn't just found in queries and external applications. It's also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm explains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability.What You Will LearnFind specific areas in code to target for performance gainsIdentify pain points quickly and understand why they are problematicRewrite legacy T-SQL to reduce or eliminate hidden performance issuesWrite modern code with an awareness of readability and maintainabilityRecognize and correlate T-SQL anti-patterns with techniques for better solutionsMake a positive impact on application user experience in your organizationWho This Book Is ForDatabase administrators or developers who maintain older code, those frustrated with complaints about slow codewhen there is so much of it to fix, and those who want a head start in making a positive impact on application user experience in their organization.