Why should you pay attention to your database?

Databases are recognized as valuable assets by organizations storing important information about business operations, customers, finances and much more. These large repositories of commercially sensitive information need to be taken seriously – just imagine losing 2 years of financial transactions because your database was poorly maintained. What if you are dealing with someone else’s data, for example patient details? The problem just gets bigger.

The ramifications of inadequate database management practices can result in businesses falling over or at the very least cause drops in productivity. The results are pretty much always the same lost money, lost business opportunities, and lost customers.


Database Management

Developing new database systems can be a labor intensive process and requires a strong foundation of database concepts including normalization, integrity and optimization. Getting the balance between these factors is essential for minimizing problems, maximizing the value from time invested, and creating maintainable and extendable systems while providing effective and responsive support for application systems.

Databases can be developed on top of a number of database management systems to support many varying application frameworks, but all of these use a common theme and Structured Query Language (SQL).


Database Management & Uses

So what’s the solution? Essentially, database management and maintenance should be a structured, well planned and executed exercise, causing minimal disruptions to system availability. The key objectives of database management are:

  • Stable performance Maintain the database at optimal performance.
  • Safety: Protect your database from unauthorized access, data leakage or data loss.
  • Database integrity: Detect database inconsistencies and corrupt data caused by hardware or software errors.
  • Business Compliance: Identify database structures, relationships and data that do not conform to business rules or are erroneous.
  • Disaster recovery: Support disaster recovery planning through data and transaction log back-ups.
  • Downtime: Minimize database downtime for maximum availability by scheduling maintenance during off-peak hours or consider having a second production database.
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