Chapter 5 Margin Notes

General Note: This should be new material for most of you---highly theoretical (and pretty dry, unfortunately)

Page 154, Fundamental Data Concepts. I suspect you've seen these terms before---have you? 

Page 151, Real World Case #1, Amazon, eBay, and Google. Be sure to read this.

Page 157, Figure 5.3, the word Entities. I love this term!

Page 158, Database Structures, Figure 5.4. In past classes, I haven't asked students to memorize the different types of Database Structures. Just remember that the modern Database is a Relational Structure consisting of multiple tables. We are probably moving toward the Object-Oriented Structure, but we aren't there yet.

Page 159, The Relational Structure. Who invented this?

Page 162, Experian Automotive. Pretty interesting.

Page 165, Database Development, Figure 5.10. This is pretty sketchy, but significant.

Page 166, Aetna: Insuring Tons of Data. I'm not quite sure where they determined the tonnage, but this is pretty interesting as well. 

Page 168, "Data are". Drives me crazy--sounds like it should be "Data is" but grammatically, Data is the plural form of the singular Datum.

Page 169, Real World Case #2. Emerson and Sonofi. More interesting stuff on Data.

Page 172 Hypermedia Databases. What's Hypermedia? Do you interact with any Hypermedia databases?

Page 172, Land's End, Inc. Check out how a Data Warehouse Improves Inventory Analysis and Sales.

Page 173, Data Warehouses and Data Mining. Be sure you know the difference between a Data Warehouse and a Data Mart.

Page 175, Bank of America: Benefits of Data Mining. Check out this blue sidebar. Do you think your electronic records are being data mined right now?

Page 177, Data Redundancy. Be sure you understand the problems of Data Redundancy--that's probably the most significant Traditional File Processing issue.

Page 178, Movies Go Digital with New Database. Check it out--I am.

Page 181, Database Interrogation. The process of retrieving data from a database.

Page 187, Real World Case #3. Acxiom Corporation: Data Demands Respect. Very good!