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Database Development and Management
Database Development and Management
Knygos.lt klubas Knygos.lt nariams
265,50 €
-30%
Įprastai
379,29 €
  • Išsiųsime per 12–18 d.d.
Today's database professionals must understand how to apply database systems to business processes and how to develop database systems for both business intelligence and Web-based applications. Database Development and Management explains all aspects of database design, access, implementation, application development, and management, as well as data analysis for business intelligence. This self-contained text gives students hands-on projects required for professionally developing and managing d…
  • Leidėjas:
  • ISBN-10: 0849333180
  • ISBN-13: 9780849333187
  • Formatas: 18.4 x 26.2 x 3.9 cm, kieti viršeliai
  • Kalba: Anglų

Database Development and Management (el. knyga) (skaityta knyga) | knygos.lt

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Today's database professionals must understand how to apply database systems to business processes and how to develop database systems for both business intelligence and Web-based applications.

Database Development and Management explains all aspects of database design, access, implementation, application development, and management, as well as data analysis for business intelligence. This self-contained text gives students hands-on projects required for professionally developing and managing databases. It provides detailed instruction via an easy-to-follow, step-by-step case-based approach.

Following an introduction to database components, the book uses case studies to illustrate the modeling process, covers table structures and normalization, and analyzes the transformation of a data model to a relational database. It explains the use of SQL in managing database objects and in querying databases, then discusses Transact-SQL and the views, indexes, and cursors that bridge databases and their applications.

The book examines three major data-accessing techniques, and then shows how to develop sophisticated applications based upon the material included in previous chapters. It explores the use of databases in network environments, and details the multiple tasks handled by database administrators (DBAs).

The text also discusses the OnLine Analytical Processing (OLAP) system, data warehousing, and other analysis tools that support business intelligence and decision making. It concludes with a review of data mining.
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  • Autorius: Lee Chao
  • Leidėjas:
  • ISBN-10: 0849333180
  • ISBN-13: 9780849333187
  • Formatas: 18.4 x 26.2 x 3.9 cm, kieti viršeliai
  • Kalba: Anglų

Today's database professionals must understand how to apply database systems to business processes and how to develop database systems for both business intelligence and Web-based applications.

Database Development and Management explains all aspects of database design, access, implementation, application development, and management, as well as data analysis for business intelligence. This self-contained text gives students hands-on projects required for professionally developing and managing databases. It provides detailed instruction via an easy-to-follow, step-by-step case-based approach.

Following an introduction to database components, the book uses case studies to illustrate the modeling process, covers table structures and normalization, and analyzes the transformation of a data model to a relational database. It explains the use of SQL in managing database objects and in querying databases, then discusses Transact-SQL and the views, indexes, and cursors that bridge databases and their applications.

The book examines three major data-accessing techniques, and then shows how to develop sophisticated applications based upon the material included in previous chapters. It explores the use of databases in network environments, and details the multiple tasks handled by database administrators (DBAs).

The text also discusses the OnLine Analytical Processing (OLAP) system, data warehousing, and other analysis tools that support business intelligence and decision making. It concludes with a review of data mining.

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