A powerful programming language extension for Oracle databases, PL/SQL ETL to SnapLogic enables users to carry out procedural logic inside the database. Conditional statements, loops, error handling, and many other features in its extensive feature set allow for complex data manipulation and transformation.An completely managed extract, transform, and load (ETL) service from Amazon called Glue makes importing and preparing data for analytics easier. It offers seamless connection with a range of data sources and destinations, as well as the ability to find, catalogue, and convert data.Effective data processing and transformation may be achieved by utilising AWS Glue, according to DataTerrain, a top supplier of automated BI and analytics solutions. Python scripts that are compatible with Glue's environment must be created in order to convert existing procedural code that supports PL/SQL logic to AWS Glue. Comprehensive knowledge of AWS Glue and PL/SQL functions is required for this migration in order to optimise speed and scalability and provide logic adaption that is smooth.Finding the most important data transformation and manipulation processes requires breaking down PL/SQL functions and procedures. Next, using the built-in transformation features of Glue and any additional libraries required, these stages are transformed into Python scripts. Furthermore, to guarantee precise replication in the Glue context, data mappings and dependencies are examined thoroughly. Because of DataTerrain's proficiency with AWS Glue and PL/SQL, the migration process is made seamless and data consistency and integrity are maintained. Organisations may improve their data processing capabilities and enable quicker insights and well-informed decision-making by utilising AWS Glue's scalability and flexibility. For more, visit us!