DBA services must follow some best practices to ensure excellent availability of databases in a smooth manner. But there may be some common mistakes in the production environment. Let us check out some of them:

Poor Plans: A good database can only be created with proper planning and data must be focused according to the needs of the end users. As every business project requires database, you are required to map out all the needs of the project well before creating your database. If you are not able to get the database designs right on the initial stage, you may face difficulties in further changes in database structures later.

Avoid Normalization: Normalization is nothing but the defined set of procedures where the methods are divided into tables. The columns and rows of the tables represent all the constituent parts of your database services. Therefore, normalization helps in implementing relational databases and SQL properly into the system. So, data normalization is necessary for ease of development and proper database performance.

Worse Naming Standards: Though names are selected from personal choices, they are important in documentation of all your applications. You should maintain consistency in selecting the names of your files, so that you can easily identify them in the future. You can name your files by part numbers or invoice numbers or you can create different segments and name them rightly.

Lack of Documentation: Documentation must be stored through corporate standards according to the convenience of end users and developers. When you are converting your database into support programmer, your main aim is to provide true and sufficient information. Properly documented codes should be successful in identifying minor fixes and bugs. 24X7 remote DBA services help in reworking on your own codes so that you can maintain your job security.

Domain Values: You should separate a single table to keep all your domain values. As every object in the database represents only one thing, relational databases can work on this fundamental idea. Data can easily be validated by using natural foreign keys as constraints. You are required to implement different ranges of keys for different tables. As the smaller domains fit on a single disk, only a single read can be ensured. You can include a single editor for all rows where same data structure can be used.

Use Identity Columns as Only Key: You should not be dependent on a single key such as Guid or identity columns. Numeric columns can be identified as identity columns and therefore can be generated into a single row. Surrogate keys should not be used as only keys and can be used as stand-ins for natural keys.

SQL to Protect Data Integrity: Many designers forget using SQL facilities for protecting data integrity. Fundamental business policies can easily be implemented through the relational database. The basic rules of foreign keys, string length and null functional activities can all be included within the database structure.

Stored Procedure to Access Data: This is a very common mistake where the stored procedures are not used to access data. You can find a much cleaner and collaborative approach if you utilize the stored procedures in your future database functions. If you want to provide best DBA support to your clients, you can definitely make use of various parameters from the stored procedure.

Database structure which is stored previously can maintain the security as well as help in enhancing performance. If you are watchful about the common errors made by the database designers, you can surely avoid being messed up with huge data. If implemented in the right way, database designs can remove bugs and minor fixes which come along the way.