Principles of database management : the practical guide to storing, managing and analyzing big small data / Wilfried Lemahieu, Seppe Vanden Broucke, and Bart Baesens
Material type:
- 9781107186125
- QA 76.9.D3 .L46 2018

Item type | Current library | Home library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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National University - Manila | LRC - Main General Circulation | Gen. Ed. - CCIT | GC QA 76.9.D3 .L46 2018 (Browse shelf(Opens below)) | c.1 | Available | NULIB000018777 |
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GC QA 76.9.D3 .H64 1990 Guide to ORACLE / | GC QA 76.9.D3 .H64 2013 Modern database management / | GC QA 76.9.D3 .K55 2013 Knight's Microsoft SQL server 2012 integration services 24-hour trainer / | GC QA 76.9.D3 .L46 2018 Principles of database management : the practical guide to storing, managing and analyzing big small data / | GC QA 76.9.D3 .M34 1991 c.2 Database management / | GC QA 76.9.D3 .M53 1994 c.2 Microsoft access, building applications : relational database management system for Windows | GC QA 76.9.D3 .P73 2012 c.1 Concepts of database management / |
Includes index.
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.
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
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