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Topic No |
Title |
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1 |
Database Design - investigation of alternative approaches; discussion of advanced techniques and how they improve the design of a database. |
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2 |
SQL: Review of SQL concepts; how SQL implements the relational model; advantages and disadvantages of the language. |
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3 |
SQL: Advanced features - investigation of latest features in the current SQL Standard, such as multimedia support. |
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4 |
Database container deployment and management: Feature and benefits |
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5 |
Quantum Computing impact on Databases: Discuss |
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6 |
Data migration and data security are major issues in System innovation: Discuss |
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7 |
Multitenancy Vulnerabilities and its security challenges in cloud |
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8 |
Multitenancy Architecture in Database: Issues and Challenges? |
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9 |
Data Warehousing – issues in design, e.g., star and snowflake schemas |
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10 |
Knowledge discovery in large databases: Discuss |
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11 |
An Elastic cloud –based data warehouse: Features and benefits |
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12 |
Data Quality Management Issues – discussion of how to ensure integrity and validation. |
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13 |
Document record and Content Management issues. |
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14 |
Relational model: main features; how it is supported by SQL; problems of areas not supported. |
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15 |
Investigation of Application Development tools and how they aid the development of a database application, such as SQL Developer, Apex |
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16 |
Multi-user issues: currency control; handling a multi-user DBMS; SQL support |
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17 |
With a real life example, differentiate between Data Masking and Data Cleansing, how these would contribute to data management and operational efficiencies. |
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18 |
Modernizing Data Architecture for a Digital Age Using Data Virtualization |
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