Advanced Database Systems

1. What are existing data types?
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2. 3

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5. What are existing database types?
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6. Database Types (Relational - Structured)
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7. Database Types (Relational - Structured)
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• OLTP Characteristics
• Designed for data entry and manipulations
• Day to day business operation
• Normalized data
• Concerned with current data (real time data)
• Data stored in columns and rows (highly detailed)
• Flexible schema
• Most common Type

8. Database Types (Relational - Structured)
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• OLAP Characteristics
• AKA Data warehouse
• Designed for data collection & analysis
• Fast
• Easy access to complex queries
• Concerned with historical/ statistical information
• Data is summarized
• Rigid schema (how the data is organized)
• Not usually concerned with individual transactions

9. Why SQL is not enough?
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10. Why SQL is not enough?
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11. Case Study
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12. G-Flix Example
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13. G-Flix Example
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14. Data lakes
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15. • Designed to capture raw data (structured, semi-
structured, and unstructured)
• Made for large amounts of data
• Uses ML and AI for analytics and processing
• It is not super-useable
• To be useful it is cleansed and organized into databases or data
warehouses.
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Data lakes

16. No one option is better for all…
• No one is better than the other
• Depends on what kind of data you have and what you
want to do with it
• A company can have one or all options
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17. Course Plan
• Data-Warehousing concepts and data modeling
• NoSQL Database Models
• Key-Value
• Column
• Document
• Graph
• In-Memory Databases
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18. PART 1
DATA WAREHOUSING
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19. What is Data Warehouse?
Is a database, or collection of databases, that
centralizes a business's information from
multiple sources and applications, and makes it
available for analytics and use across the
organization.
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20. Data Warehouse Definition
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21. Data Warehouse Architecture
Why do we need a DW?
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