Brief Overview of Informatica PowerCenter and Its Features

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An introduction to Informatica PowerCenter

PowerCenter is industry’s leading Data Integration software that enables its users to integrate various data stores (such as databases, flat files…) and transform their data in multiple ways. Data Integration software such as PowerCenter provides out of the box integration with many databases and applications, than allowing the developers to focus on their data transformation requirements. Designer (a PowerCenter client tool) is a graphical user interface based integrated development editor used to develop mappings (unit of code) in PowerCenter. When a mapping is developed, it points to a source (from where data is read) and a target (where data is written). This mapping can then be executed to read data, transform it and then finally load the transformed data into the target. When a database changes, for example, a customer moved his database from Microsoft SQL Server to Oracle, he can simply change the mapping to point to the new source and target without having to worry about any integration challenges. Assuming the connectivity between the PowerCenter and oracle database is established, developers need not worry if their code will properly integrate with the new database. If it’s supported, it works. It is that simple. The mapping would run the same regardless of the database to which it is pointing. Developers do not have to bind any drivers or jar files (Java archive files) to the code. As long as the Informatica Administrator established a connection between PowerCenter and the database, developers just have to point their mappings to pre-defined connections. This keeps the business logic separate from its integration aspects, thereby, making data integration a lot simpler.

• Role-Based Tools Support Iterative Business/IT Collaboration:- Role-based tools support iterative business/IT collaboration and development as well as support business and department self-service

• Rapid Prototyping And Data Profiling:- Rapid prototyping and data profiling instantly accesses and combines data from multiple sources to ensure requirements are met early and throughout the development process.

• Graphical, Intuitive Metadata-Driven Views:- Graphical, intuitive metadata-driven views of data flows, impact analysis and lineage provide better change management and governance

• Data Transformation Processing:- Specialized, high-performance pushdown of data transformation processing for optimal use of database resources.

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