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Data Profiling
Data Profiling - online training course
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5-hour Online Course by Arkady Maydanchik
Single-user access license
Our Price: $520.00

Product Code: DQ-06-A

Course Exam [Add $100.00]

Description Course Outline Exam Details

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.

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

You will learn:
  • 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
This course is geared towards:
  • data quality practitioners
  • MDM practitioners
  • metadata management practitioners
  • IT and business analysts involved in data management
  • those responsible for implementation and maintenance of various data management systems

Average Customer Review: Average Customer Review: 4.5 of 5 4.5 of 5 Total Reviews: 84 Write a review.

  2 of 2 people found the following review helpful:
5 of 5 Review of the Course August 10, 2023
Reviewer: Arnost Katolicky from Plzen, Czech Republic  
I must say, that the course helped me to understand the relationship between different points of view: statistics, economics, informatics, analysis, decisions and management - all this in connection with Data Quality Management and especially with Data Profiling. My university-studies were oriented to statistics. I was focused in the beginning on economics, then more and more with IS projects, and finally with management of ICT support of the decision making process.
During my enterprise practice I was active as an external university teacher and 10 years ago I started working in the field of e-learning. All this has played a role in my assessment of eLearningCurve's Data Profiling course.
The course was, for me, a very interesting and valuable combination of useful theory and best practices. The quality of the course content is very good. The presentation format (Flash video presented on-line, on-demand) is especially valuable for people with limited time for formal study.
Structuring the course in 5 modules was a good decision. The modules are organized logically - the education process flows step by step from more theoretical to more practical parts of the content.  Overviews and summaries definitely helped me to understand all the internal and external know-how relations and dependencies.
The on-line presentation is excellent. The instructor is a world-class teacher and delivers material in clear and understandable language. The course provides applied and proven methodologies. The possibility to get certificate has a motivating influence. The content matches fully the title and the description of the course.
The course met my expectations fully. I recommend it with one only exception:
- I find the 30-day time limit for such important topics as absolute minimum.
Maybe it could be changed to a 2 part schema each with a 3 week period.

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  0 of 0 people found the following review helpful:
4 of 5 Course review August 10, 2023
Reviewer: Donna Graves from United States  
I struggled with this course. It wasn't until I dove deeper into the topic. The terms and the methods of performing data quality are so similar that it is sometimes difficult to pull out the real gem of each type.

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  0 of 0 people found the following review helpful:
5 of 5 Course Review August 10, 2023
Reviewer: Steve Lutter  
This was a well presented, comprehensive course. There is far more to data profiling that I had imagined. The course will serve me well in future projects.

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  0 of 0 people found the following review helpful:
5 of 5 Course Review August 10, 2023
Reviewer: Andria Barber  
This was a very good practical application of performing DQ. I enjoyed it very much.

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  0 of 0 people found the following review helpful:
5 of 5 Course Review August 10, 2023
Reviewer: Olubunmi Ajai  
The content and delivery matched up to expectation in alignment with the course title. There was a solid commentary on hands-on experience of the instructor which will really help in applying the key learning to related tasks on the job.

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