What you'll learn
Informatica Cloud
Cloud and On-Premise data integration
ETL
Data Integration
Requirements
No programming experience required
Description
Informatica's product portfolio is focused on data integration: extract, transform, load, information lifecycle management, business-to-business data exchange, cloud computing integration, complex event processing, data masking, data quality, data replication, data virtualization, master data management, ultra messaging, and data governance. These components form a toolset for establishing and maintaining data warehouses.
Data integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial (such as when two similar companies need to merge their databases) and scientific (combining research results from different bioinformatics repositories, for example) domains. Data integration appears with increasing frequency as the volume (that is, big data) and the need to share existing data explodes. It has become the focus of extensive theoretical work, and numerous open problems remain unsolved. Data integration encourages collaboration between internal as well as external users. The data being integrated must be received from a heterogeneous database system and transformed to a single coherent data store that provides synchronous data across a network of files for clients. A common use of data integration is in data mining when analyzing and extracting information from existing databases that can be useful for Business information
Who this course is for
ETL Developers
Data Integration Engineers
Data Architects
Database Developers
ETL Architects
Informatica PowerCenter Developers
BI Developers
Data Engineers
Sql Developers

Homepage

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