Solving Complex Data Migration Problems With Etl Tools

Judith was working on a team that was researching companies for acquisition. They were studying Australian companies; their search had narrowed down to six companies. There difference was too little for any of them to stand out. So she decided to look for more data and she found it. But that turned into a nightmare. They were from different servers, different formats and there was no way that she could compare them and arrive at a conclusion. This situation called for a typical business intelligence software-the Extract Transform Load (ETL) tool.

Technologies are developing on a regular basis. And so are architectures and frameworks. But the business environment these days is very challenging. Trends and processes are changing on a regular basis: acquisitions, mergers, and outsourcing of business processes are more prevalent today than ever before. How do technologies cope up with these changes?

Data warehouse environment often deals with extracting data from different sources. Unless there is a way to integrate data from these sources, it may not be as useful it could be. BI Solutions should be looking at enterprise-wide approaches that look ahead into the future. Informatics, one such software and one of the widely used ETL software programs not only extracts data but also helps you transform it in a way that allows it to migrate and be loaded into target systems. Its data warehouse design and build is extremely powerful for implementing it in Business Intelligence Software. Informatics' Power Center Client and Repository Server do the job of accessing, storing and managing data. Among other things, the Power Center Client also manages users, identifies source systems and target systems, creates mapping, and so on. Once the source data is extracted, data modelers can generate scripts that will create the required tables and records. These scripts will help the DBAs create databases that integrate these data. The data is then mapped to the source system's data and loaded into the targets such as an Oracle database. The Informatics tool also improves quality by validation and proper naming of the data. Transformation such as aggregation, filtering, or even sorting also improve the quality of the data being loaded into the target system. Now the target system is ready for suitable use.

Migration of data integration can happen in different ways: direct migration from existing code, direct migration from specifications, or migration and enhancement. You'd want to go for a direct migration from existing code when you want to replicate your data integration processes data from your current legacy ETL tool to a more advanced, adaptable ETL tool. Some of the migration could involve additional resources for manual migration. You'd want to go for a direct migration from specifications when you'd want to replicate your data integration processes from your current ETL documentation. Automation assets can help you save time and money in the process. However, if you want to improve your Business Intelligence Software & Data Migration process and data architecture when you migrate, then you'd go for a migration and enhancement option.