06 October, 2020
Welcome to Informatica MDM Tutorials. The objective of these tutorials is to provide an in-depth understanding of Informatica MDM.
In addition to free Informatica MDM Tutorials, we will cover common interview questions, issues, and how to’s of Informatica MDM.
Master Data Management: It’s a method of identifying the most significant information in the organization, to one file (master file), which gives a general spot of reference.If done accurately, it simplifies the data sharing between the employees and the department. Additionally, it facilitates the computation in several system architectures and platforms and applications.
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Informatica PowerCenter is a tool, supporting all the steps of the Extraction, Transformation, and Load process. A whole lot of product offerings are orchestrated around PowerCenter’s ability to connect to different technologies ranging from mainframe to CRM to Big Data.
Informatica PowerCenter is easy to use the tool. It has got a simple visual interface like forms in visual basic. You just need to drag and drop different objects (known as transformations) and design process flow for data extraction transformation and load. These process flow diagrams are known as mappings. Once a mapping is developed, it can be scheduled to run as and when required. In the background Informatica server takes care of fetching data from the source, transforming it, & loading it to the target systems/databases.
PowerCenter can communicate with all major data sources (mainframe, Big Data, RDBMS, Flat Files, XML, SAP, Salesforce & the list goes on), can move/transform data between them. It can move huge volumes of data in a very effective way, many times better than even bespoke programs written for specific data movement. It can throttle the transactions (do big updates in small chunks to avoid long locking and filling the transactional log). It can effectively join data from two distinct data sources (even an xml file can be joined with a relational table). In all, Informatica has got the ability to effectively integrate heterogeneous data sources & converting raw data into useful information.
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