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Parameterized DB2 Queries from Python via pyodbc
The power of Python cannot be overstated, especially when it comes to interacting with databases. Python's pyodbc module simplifies the process of connecting to ODBC databases, such as SQL Server 2016, SQL Server 2017, MySQL 5.7, DB2 11.1, and Azure SQL. I[.....]
DB2 Stored Procedure Debugging Techniques
Debugging stored procedures in IBM's DB2 is an art that requires a certain level of expertise. DB2 11.1, for instance, provides a rich set of tools and technologies to simplify the debugging process. Using the right techniques, you can identify and address[.....]
DB2 for z/OS vs DB2 LUW: Differences for Application Developers
IBM's DB2 database platform is available in two distinct editions: DB2 for z/OS and DB2 LUW (Linux, Unix, Windows). Both variants of DB2 are powerful and flexible, capable of handling a wide range of data workloads. However, there are several important dif[.....]
Using OPENQUERY for Cross-Platform Joins Between DB2 and SQL
For enterprises that manage multiple databases across different platforms, combining data from these varying sources may present a complex challenge. However, SQL Server provides a function called OPENQUERY that allows users to execute a pass-through query[.....]
Using DB2 9.7 for Cross-Platform Finance Reporting
In today's fast-paced, data-driven financial world, the need for cross-platform data management and reporting has never been more important. One of the solutions that has proven itself in this arena is IBM's DB2 9.7. This database management system provide[.....]