Personnaliser

OK

Appareils photo, caméras, drones et bien d'autres ! 30€ et 100€ offerts* dès 299€ et 999€ d'achat sur l'univers Photo et caméras avec les codes : PHOTO30 et PHOTO100

En profiter

Rakuten - Achat et vente en ligne de produits neufs et d'occasionRakuten group
ClubR
Euro

Mettre en vente

Person

Se connecter

Heart
Cart
Rakuten - Achat et vente en ligne de produits neufs et d'occasionRakuten group
ClubR
Person

Se connecter

Cart
Soldes & top offres
Soldes & top offres
Cartes cadeaux
Cartes cadeaux
Jardin et Bricolage
Jardin et Bricolage
Smartphones et Tablettes
Smartphones et Tablettes
Électroménager
Électroménager
Livres
Livres
Livraison 48h
Livraison 48h
Sites partenaires
Sites partenaires
Hôtels et Vols
Vols et Hôtels
Expert T-Sql Window Functions In Sql Server 2019 de Clayton Groom Format Broché

Expert T-SQL Window Functions in SQL Server 2019 - Clayton Groom

Note : 0

0 avis
  • Soyez le premier à donner un avis

Vous en avez un à vendre ?

Vendez-le-vôtre
Filtrer par :

58,70 €

Produit Neuf

  • Ou 14,68 € /mois

    • En savoir plus
    • Livraison : 3,99 €
    • Livré entre le 1 et le 7 août
    Voir les modes de livraison

    M_plus_L

    PRO Vendeur favori

    4,8/5 sur + de 1 000 ventes

    Voir le détail de l'annonce

    Nos autres offres

    • 80,87 €

      Produit Neuf

      Ou 20,22 € /mois

      En savoir plus
      • Livraison à 0,01 €
      • Livré entre le 3 et le 17 août
      Voir les modes de livraison

      RiaChristie

      PRO

      4,9/5 sur + de 1 000 ventes
      Afficher la description de l'annonce

      Brand new, In English, Fast shipping from London, UK; Tout neuf, en anglais, expédition rapide depuis Londres, Royaume-Uni;ria9781484251966_dbm

      Voir le détail de l'annonce 
    Publicité
     
    Vous avez choisi le retrait chez le vendeur à
    • Payez directement sur Rakuten (CB, PayPal, 4xCB...)
    • Récupérez le produit directement chez le vendeur
    • Rakuten vous rembourse en cas de problème
    Terminer ma commande

    Gratuit et sans engagement

    Félicitations !

    Nous sommes heureux de vous compter parmi nos membres du Club Rakuten !

    En savoir plus

    TROUVER UN MAGASIN

      Retour

      Horaires

          Note :


          Avis sur Expert T - Sql Window Functions In Sql Server 2019 de Clayton Groom Format Broché  - Livre Informatique

          Note : 0 0 avis sur Expert T - Sql Window Functions In Sql Server 2019 de Clayton Groom Format Broché  - Livre Informatique

          Les avis publiés font l'objet d'un contrôle automatisé de Rakuten.


          Présentation Expert T - Sql Window Functions In Sql Server 2019 de Clayton Groom Format Broché

           - Livre Informatique

          Livre Informatique - Clayton Groom - 01/10/2019 - Broché - Langue : Anglais

          . .

        • Auteur(s) : Clayton Groom - Ed Pollack - Kathi Kellenberger
        • Editeur : Apress L.P.
        • Langue : Anglais
        • Parution : 01/10/2019
        • Format : Moyen, de 350g à 1kg
        • Nombre de pages : 232
        • Expédition : 445
        • Dimensions : 25.4 x 17.8 x 1.3
        • ISBN : 1484251962



          • Résumé :

          Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enhancements through SQL Server 2019.
          Window functions are useful in analytics and business intelligence reporting. They came into full blossom with SQL Server 2012, yet they are not as well known and used as often as they ought to be. This group of functions is one of the most notable developments in SQL, and this book shows how every developer and DBA can benefit from their expressive power in solving day-to-day business problems. Once you begin using window functions, such as ROW_NUMBER and LAG, you will discover many ways to use them. You will approach SQL Server queries in a different way, thinking about sets of data instead of individual rows. Your querieswill run faster, be easier to write, and easier to deconstruct, maintain, and enhance in the future.
          Just knowing and using these functions is not enough. You also need to understand how to tune the queries. Expert T-SQL Window Functions in SQL Server clearly explains how to get the best performance. The book also covers the rare cases when older techniques are the best bet.
          What You Will Learn
          Solve complex query problems without cumbersome self-joins that run slowly and are difficult to read Create sliding windows in a result set for computing such as running totals and moving averages Return aggregate and detail data simultaneously from the same SELECT statement Compute lag and lead and other values that access data from multiple rows in a result set Understand the OVER clause syntax and how to control the window Avoid framing errors that can lead to unexpected results
          Who This Book Is For
          Anyone who writes T-SQL queries, including database administrators, developers, business analysts, and data scientists. Before reading this book, you should understand how to join tables, write WHERE clauses, and build aggregate queries.

          Biographie:

          Kathi Kellenberger is a data platform MVP and the editor of Simple-Talk at Redgate Software. She has worked with SQL Server for over 20 years. She is also co-leader of the PASS Women in Technology Virtual Group and an instructor at LaunchCode. In her spare time, Kathi enjoys spending time with family and friends, singing, and cycling.
          Clayton Groom is a data warehouse and analytics consultant at Clayton Groom, LLC. He has worked with SQL Server for 25 years. His expertise lies in designing and building data warehouse and analytic solutions on the Microsoft technology stack, including Power BI, SQL Server, Analysis Services, Reporting Services and Excel.
          Edward Pollack has over 20 years of experience in database and systems administration and architecture, developing a passion for performance optimization and making things go faster. He has spoken at many SQL Saturdays, 24 Hours of PASS, and PASS Summits, and has coordinated SQL Saturday Albany since its inception in 2014.
          ...

          Sommaire:

          Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enhancements through SQL Server 2019.
          Window functions are useful in analytics and business intelligence reporting. They came into full blossom with SQL Server 2012, yet they are not as well known and used as often as they ought to be. This group of functions is one of the most notable developments in SQL, and this book shows how every developer and DBA can benefit from their expressive power in solving day-to-day business problems. Once you begin using window functions, such as ROW_NUMBER and LAG, you will discover many ways to use them. You will approach SQL Server queries in a different way, thinking about sets of data instead of individual rows. Your querieswill run faster, be easier to write, and easier to deconstruct, maintain, and enhance in the future.
          Just knowing and using these functions is not enough. You also need to understand how to tune the queries. Expert T-SQL Window Functions in SQL Server clearly explains how to get the best performance. The book also covers the rare cases when older techniques are the best bet.
          What You Will Learn
          Solve complex query problems without cumbersome self-joins that run slowly and are difficult to read Create sliding windows in a result set for computing such as running totals and moving averages Return aggregate and detail data simultaneously from the same SELECT statement Compute lag and lead and other values that access data from multiple rows in a result set Understand the OVER clause syntax and how to control the window Avoid framing errors that can lead to unexpected results
          Who This Book Is For
          Anyone who writes T-SQL queries, including database administrators, developers, business analysts, and data scientists. Before reading this book, you should understand how to join tables, write WHERE clauses, and build aggregate queries.
          ...

          Détails de conformité du produit

          Consulter les détails de conformité de ce produit (

          Personne responsable dans l'UE

          )
          Le choixNeuf et occasion
          Minimum5% remboursés
          Le service clientsÀ votre écoute
          • Liens utiles
            • Mon compte
            • Mon panier
            • Paiement en plusieurs fois
            • Vendre
            • Suivre ma commande
            • Mon Club R
          • Aide
            • Besoin d'aide ?
            • Ouvrir un e-shop en tant que commerçant
            • Frais de protection acheteurs
            • Signaler un contenu illicite
            • Plan du site
            • Le blog
          • Rakuten
            • Carrières
            • Conditions générales
            • *Conditions des offres
            • Politique Vie privée
            • Gestion des cookies
            • Affiliation
            • Devenez annonceur
            • A propos de Rakuten
            • Fonctionnement du service
            • Assurances
          LinkedinFacebookTwitterInstagramYoutubePinterestTiktok
          visavisa
          mastercardmastercard
          klarnaklarna
          paypalpaypal
          floafloa
          americanexpressamericanexpress
          Avec l'appli Rakuten, bénéficiez de 5% remboursés en Rakuten Points sur tous vos achats !
          Application AppstoreApplication Android
          Rakuten Logo
          • Rakuten Kobo
          • Rakuten TV
          • Rakuten Viber
          • Rakuten Viki
          • Plus de services
          • À propos de Rakuten
          Rakuten.com

          © Rakuten France 2000 - 2026