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Data Integrity Testing

Data integrity is the prime component of information security. In its generic use, data integrity refers to consistency and accuracy of the data stored in a database, data warehouse, or any other storage construct.

It also corresponds to the quality level by which users examine the actual reliability of the stored data. Data integrity testing ensures that the data stored in the database is accurate and the functionality of the same is at par for a given application.

From the process point of view, data integrity testing verifies if the data has undergone any kind of alteration, in its journey from creation to reception. The importance of data integrity testing remains justified as such tests retain the information in the same state as it was inputted.

Inaccuracies in data can occur either accidentally under unavoidable circumstances (example: due to errors caused in the program), or intentionally (can be through malwares, breaches or hacks). So, the sole purpose of data integrity testing is to keep the data free from modification, corruption or any kind of unauthorized disclosures.

What does data integrity testing involve?

Data integrity testing involves the following steps:

  • Checking if blank or default value can be successfully retrieved from the existing database.
  • Validating each value, whether it has been saved to the database properly.
  • Ensuring the compatibility of the existing data against old hardware or the older versions of OS.
  • Verifying the chances of deletion or modification of the data in the tables.
  • Running a complete end to end data test for all the existing data files.

What do we offer?

When you avail our services, we provide you a versatile data integration testing methodology that puts the following integrities through rigorous and detailed testing:

  • Domain Integrity
    A domain is a set of valid values of the same kind, for any column. So, domains are basically pools of values, from which we draw the actual values that appear in the table columns. Domain integrity is the validity of all the entries that are made for a specific column. It reassures that all the data present in a column fall within a set of pre-defined values. These intensive domain integrity tests are carried out by us using default, null and invalid values, to ensure the compliance of accurate integrity in the domain.
  • Entity Integrity
    Entity integrity is based on the unique identity related to each row of a table. The principles of entity integrity itself are basic to the relational database design and its implementation. We follow an advanced technique for successfully implementing entity integrity in the SQL Server by specifying a primary key for each allocated table. The value that’s set for a primary key is completely unique and two such values can never be the same. This approach complies with the rule that restricts the insertion of a duplicate value into a column which already has an inbuilt unique index.
  • Referential Integrity
    Referential integrity makes sure that the value in one table makes reference or relates to another table’s existing value. To establish referential integrity, either the value of a foreign key must always be within the domain boundaries of its related primary keys, or it should be completely null. So, referential integrity tests are usually carried out by deletion of the parent row or the child row in a table.

Why choose Skytesters data integrity testing?

Data integrity is always vital for a database. If the data values are of questionable nature, the information that can be retrieved from it, will be useless, or at least value deprived to a great extent. With expert testing software engineers having an integral expertise in data integration testing, we offer you the following advantages over normal testing services:

  • Testing using highly efficient automated services
  • Cent percent redundancy prevention which ensures that no data will be repeated within the database
  • Quality assurance of Centralized data maintained with only unique values
  • End to end data integrity tests that save time and budget
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