Principles of database management : the practical guide to storing, managing and analyzing big and small data / Wilfried Lemahieu, Seppe vanden Broucke and Bart Baesens.
Material type:
TextPublication details: New York, NY : Cambridge University Press, 2018.Edition: First editionDescription: xxiii, 784 pages : colored illustrations ; 25 cmContent type: - text
- unmediated
- volume
- 9781107186125
- 005.74 L54p
- QA76.9.D3 L454
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
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Main Library | Circulation Section | CIR 005.74 L54p 2018 (Browse shelf(Opens below)) | 1-1 | Available | 024461 |
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| CIR 005.74 J453a 2003 Advantage database server : official guide / | CIR 005.74 K913d 2006 Database processing : fundamentals, design, and implementation / | CIR 005.74 K913d 2010 Database concepts | CIR 005.74 L54p 2018 Principles of database management : the practical guide to storing, managing and analyzing big and small data / | CIR 005.74 M468 2016 The medical library association guide to data management for librarians | CIR 005.74 M733d 2009 Database systems : the complete book / | CIR 005.74 P888d 2010 Database management systems |
Includes index.
Includes bibliographical references.
Databases and database design -- Fundamental concepts of database management -- Architecture and categorization of DBMSs -- Conceptual data modeling using the (E)ER model and uml class diagram -- Organizational aspects of data management -- Types of database systems -- Legacy databases -- Relational databases: the relational model -- Relational databases: structured query language (SQL) -- Object oriented databases and object persistence -- Extended relational databases -- XML databases -- NoSQL databases -- Physical data storage, transaction management, and database access -- Physical file organization and indexing -- Physical database organization -- Basics of transaction management -- Accessing databases and database APIs -- Data distribution and distributed transaction management -- Data warehousing, data governance and (Big) data analytics -- Data warehousing and business intelligence -- Data integration, data quality and data governance -- Big data -- Analytics.
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