For example, consider an employee database containing all data about individual employees.
"Slaughter" <[email protected]>
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Everyone in IT should know what I'm talking about, but just in case you don't here is a link to ABA's regulatory compliance site. Get THRI First Thing on THURSDAY DEC 14! THIS IS GOING TO EXPLODE! Check out for HOT NEWS! Introducing THRI.PK: Wednesday's Results: UP +0.28 (27.18%) Company: THRESHER INDUSTRIES Symbol: THRI.PK Price: $1.31 Short Term Target: $2.75 Long Term Target: $4.15 Recommendation: STRONG BUY Investment Risk: Low Note: High Volume Activity All Week CALL YOUR BROKER TO PLACE YOUR ORDER RIGHT NOW!!! WATCH THRI TRADE STARTING THURSDAY DEC 14! As a reminder, the purpose of this blog is for me to review, analyze, and pontificate on data and database management issues. But according to Information Week, you guys are in the cat bird's seat. This means learning more about the business ramifications of the data that is being managed. I guess that high-pitched television sign-off had interrupted my wonderful dream. Well, when I look at the industry I see data growing at alarming rates. This was time-consuming and not at all fun. How do you determine when to apply DBMS fix packs and patches? A relation is basically a set with no duplicate values. Could they have meant a SQL Server DBA? Do you EXPLAIN every SQL statement before it goes into production? I had to cry for help once more! How about your personal freedom? Maybe we need breath-alyzer tests for everyone before boarding. Doing so is the only way to ensure that we meet business needs, even in the face of explosive data growth. Many analysts and reporters are predicting the demise of the DBA due to more intelligent, autonomic DBMS products. In today's blog entry I republish an article on acronyms that I wrote several years ago. Using check constraints you can place limits on the data values that can be stored in a column or set of columns. When going against a standard makes more sense than enforcing it, let's all agree that it is wiser to make an exception. then all of a sudden there I was at work. This means learning more about the business ramifications of the data that is being managed. DBMSs also are generally responsible for data integrity, data access control, and automated rollback, restart and recovery. Let's face it, the vast majority of companies live in the state of data anarchy. And this means better capture, storage, and management of metadata. Is it an age, a dollar amount, an IQ, a shoe size, or something else entirely? They are modeled in bills of material, managed by product managers and sold by sales teams.