What does X01 mean in FILE EXTENSIONS
Paradox Secondary Index (PSI) is a database indexing system developed by Borland Software Corporation and now owned by Corel Corporation. It provides users with a powerful, yet easy-to-use method of searching and manipulating data in relational databases such as Paradox, dBase, FoxPro, Access and SQL Server.
X01 meaning in File Extensions in Computing
X01 mostly used in an acronym File Extensions in Category Computing that means Paradox Secondary Index
Shorthand: X01,
Full Form: Paradox Secondary Index
For more information of "Paradox Secondary Index", see the section below.
Essential Questions and Answers on Paradox Secondary Index in "COMPUTING»FILEEXT"
What is Paradox Secondary Index?
Paradox Secondary Index (PSI) is a database indexing system developed by Borland Software Corporation and now owned by Corel Corporation. It provides users with a powerful, yet easy-to-use method of searching and manipulating data in relational databases such as Paradox, dBase, FoxPro, Access and SQL Server.
How does PSI work?
PSI works by creating secondary indexes for each table in your database. These indexes are then used to quickly access specific records from within the database without requiring the user to traverse through all the records within the database table itself.
What databases are supported by PSI?
PSI supports relational databases such as Paradox, dBase, FoxPro, Access and SQL Server.
Is PSI compatible with other database systems?
Yes - PSI can be used in conjunction with any ODBC compliant database system including Oracle, MySQL and Microsoft SQL Server.
How much does it cost to use Paradox Secondary Index?
The cost of using PSI varies depending on the version you purchase but prices range from up to 9 for the Professional Edition.
Final Words:
PSI can be a useful tool for simplifying search queries within large datasets stored in multiple relational databases. It allows users to quickly access specific records without having to make complicated joins across multiple tables or sift through an entire dataset themselves. As it supports most popular Database Systems it can also be integrated easily into existing applications on almost any platform which makes implementing this solution fairly straightforward.