Data profiling is the process of analyzing actual data and understanding its true structure and meaning. It is one of the most common and important activities in information management. Data profiling is the first critical step in many major IT initiatives, including implementing a data warehouse, building an MDM hub, populating metadata repository, as well as operational data migration and integration. It is also the key ingredient to successful data quality management.

While proliferation of commercial tools made data profiling accessible for most information management professionals, successful profiling projects remain elusive. This is largely because the tools allow gathering large volumes of information about data, but offer limited means and guidelines for analysis of that information.

In this course you will learn all practical skills necessary to succeed in a data profiling initiative.

• The what, why, when, and how of data profiling
• Various data profiling techniques, from simple column profiling to advanced profiling methods for time-dependent and state-dependent data
• How to efficiently gather data profiles
• How to analyze the data profiling information and ask the right questions about your data
• How to organize data profiling results
• How to perform dynamic data profiling and identify changes in data structure and meaning

All data management practitioners, both IT and business analysts, specifically those in the trenches who are responsible for data quality as well as implementation and maintenance of various data management systems including data warehouses, interfaces between operational systems, master data management hubs, etc.

Click here to learn more about this course at www.elearningcurve.com!