Linux Database Bible (Bible (Wiley)) by Michele Petrovsky, Stephen Wysham, Mojo Nichols

By Michele Petrovsky, Stephen Wysham, Mojo Nichols

The Linux Database Bible is the single entire reference out there for either OpenSource and advertisement database items. The booklet comprises: an creation to Linux Databases; suggestion for identifying consumer wishes for information manipulation and garage; collection of a suitable database; install and configuration of the chosen database; the management, care, and feeding of the database; safeguard and catastrophe restoration matters; and precise issues whilst integrating a database with the web. as well as the above fabric, you can find in-depth research of the programming matters concerned, appendices for every coated database, command summaries and examples of schema and coding to deal with quite often encountered difficulties.

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Extra resources for Linux Database Bible (Bible (Wiley))

Example text

We use the term semantic normalization to describe the process by which a database designer ensures that each datum in each of his relations contains one, and only one, item of information. Semantic normalization is not a part of the relational model, but it is an important part of database design. Cross Reference We discuss semantic normalization further in Chapter 4. No duplicate rows This is an important point that is often overlooked: a relation cannot contain duplicate rows. Each row within a relation is unique.

In other words, the data that we collect are related to each other. The relations among data are themselves an important part of the database. Consider, for example, a database that records information about books. Each book has a title, an author, a publisher, a city of publication, a year of publication, and an ISBN number. Each data item has its own type and its own domain; but each has meaning only when it is coupled with the other data that describe a book. Much of the work of the database software will be to maintain integrity not just among data and within data, but among these related groups of data.

For example, consider a baseball game. The games score is worth knowing; but only if we know the names of the teams playing the game and the date upon which the game was played. If we know the teams without knowing the score, our knowledge is incomplete; likewise, if we know the score and the date, but do not know the teams, we do not really know anything about the game. So now we are zeroing in on our definition: A relation is a set of domains that together describe a given entity or event in the real world.

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