Problems consolidating databases
", but virtualization is only part of the story - The tip of the consolidation iceberg - and it might not actually save you as much as you thin. As more and more companies are looking to trim their operating expenses, many are looking at their data centers as a place where they can find some savings.
For far too long the data center has been ‘hands off’ when it comes to reducing expenses, as it was just a vast unknown.
While it is true that relational databases have the solid foundation of logic and set-based mathematics, the scientific rigor of the database design process also involves aesthetics and intuition; but it includes, of course, the subjective bias of the designer as well. In this article, I’ll try to explain five common design errors people make while modelling tables and suggest some guidelines on how to avoid them.
A few years back, Don Peterson wrote an article for SQL Server Central that detailed a common practice of creating a single lookup table for various types of data usually called as code table or an “allowed value table” (AVT).
This tremendous pressure to operate your data centers as efficiently as possible often means converting as many physical servers as possible to virtual servers, but virtualization alone is not the end of the story!
Some free tools from Microsoft can assist you with the migration process.
I'll discuss the benefits of this process and provide links for further analysis and the migration process. The migration is comparably easy and straightforward.
Furthermore, you can keep the existing Access application and only migrate the database.
Database Normalization, or simply normalization, is the process of organizing the columns (attributes) and tables (relations) of a relational database to reduce data redundancy and improve data integrity. Decomposition takes an existing (insufficiently normalized) database design and improves it based on the known set of dependencies. Codd, the inventor of the relational model (RM), introduced the concept of normalization and what is now known as the First normal form (1NF) in 1970.
Normalization is also the process of simplifying the design of a database so that it achieves the optimum structure. When a fully normalized database structure is extended to allow it to accommodate new types of data, the pre-existing aspects of the database structure can remain largely or entirely unchanged.