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Uani Is a backyard , often with an enclosure traditionally designated as women's space of exclusion and safety from men's spying eyes , It is often associated with homes. There
ua n (nyua), U-N-, mzizi mauaNyuma ya Nyumba, Uzio Context: Relating to Swahili Homes. Traditionally a backyard, often with an enclosure, and designated as women’s space (of ‘seclusion’ and ‘safety’
ua n (nyua), U-N-, mzizi mauaNyuma ya Nyumba, Uzio Muktadha: Inahusu nyumbani Uswahilini. Kimila, uani kawaida kuna uzio, na pametengwa kama sehemu maalum ya wanawake (ya ‘faragha’ na ‘salama’ mbali
Asteria Malinzi Baridi la Ufukweni, 2021Picha, video na sauti.(Video Poem was produced in collaboration with Ngollo Mlengeya) Umekwishaonywa. Mchecheto usiomithilika unaikodolea milele zote zinavyotiririka mithili ya vijito. Umekwishaonywa; kwa wepesi
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Background: Introduction to Databases; Database Environment; Database Architectures and the Web. The Relational Model and Languages: The Relational model; Relational Algebra and Relational Calculus; SQL: Data Manipulation; SQL: Data Definition; Query-By-Example (QBE). Database Analysis and Design: Database System Lifecycle; Database Analysis and the DreamHome Case Study; Entity–Relationship Modeling; Enhanced Entity–Relationship Modeling; Normalization; Advanced Normalization. Methodology: Methodology—Conceptual Database Design; Methodology—Logical Database Design for Relational Model; Methodology—Physical Database Design for Relational Databases; Methodology—Monitoring and Tuning the Operational System. Selected Database Issues: Security and Administration; Professional, Legal, and Ethical Issues; Transaction Management; Query Processing. Distributed DBMSs and Replication: Distributed DBMSs—Concepts and Design; Distributed DBMSs—Advanced Concepts; Replication and Mobile Databases. Object DBMSs: Object-Oriented DBMSs—Concepts and Design; Object-Oriented DBMSs—Standards and Languages; Object-Relational DBMSs. Web and DBMSs: Web Technology and DBMSs; Semistructured Data and XML. Business Intelligence Technologies: Data Warehousing Concepts; Data Warehousing Design; OLAP; Data Mining. Appendices: Users’ Requirements Specification for DreamHome Case Study; Other Case Studies; Alternative Data Modeling Notations; Summary of the Database Design Methodology for Relational Databases; Introduction to Pyrrho—A Liteweight RDBMS. Web Appendices: File Organization and Storage Structures; When Is a DBMS Relational?; Commercial DBMSs: Access and Oracle; Programmatic SQL; Estimating Disk Space Requirements; Introduction to Object-Orientation; Example Web Scripts.
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