Database Administration: The Complete Guide to Practices and by Craig S. Mullins

By Craig S. Mullins

With Database management, database execs now have a accomplished sourcebook of suggestions for supplying caliber management throughout trendy tough multi-DBMS environments. full of sensible directions and methods, this publication offers the main accomplished survey to be had of the administrator's global for the prevailing or aspiring database professional.Part instructional and half reference, Database management explains and examines all of the parts that contain the self-discipline of database management. The ebook opens by way of offering an outline of the tasks of database directors (DBAs) besides many of the "flavors" of DBAs and their initiatives. From there, the publication proceeds chronologically via each job a DBA is probably going to come across. even though designed as a accomplished survey of the total DBA atmosphere, the book's person chapters also are compatible for fast look-up of particular details.

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And sometimes a database analyst is just another term used by some companies instead of database administrator. Data Modeler A data modeler is usually responsible for a subset of the DA's responsibilities. Data modeling tasks include the following: • Collecting data requirements for development projects • Analyzing the data requirements • Designing project-based conceptual and logical data models • Creating and updating a corporate data model • Ensuring that the DBAs have a sound understanding of the data models Application DBA In direct contrast to the system DBA is the application DBA.

Sometimes the decision to buy a new DBMS is driven by the desire to support the latest and greatest technology. For example, many mainframe shops moving from a hierarchic (IMS) or CODASYL (IDMS) database model to the relational model deployed DB2, result in an additional DBMS to learn and support. Then, when client/server computing became popular, additional DBMSs were implemented on UNIX and Windows NT servers. Once a DBMS is installed, removal can be difficult because of incompatibilities among the different DBMSs and the necessity of converting application code.

A relational DBMS typically provides a method to gather statistical information about the contents of its databases. These statistics are then used by the relational optimizer to determine how SQL will retrieve data. ) But remember, there will be much less data in test databases than in production. In some cases, though, the DBA can set up scripts to read the production statistics and copy them to the test environment, thereby enabling developers to gauge more accurately how test applications will perform in production.

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