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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]

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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: 162 Write a review.

  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 1/6/2024 February 2, 2024
Reviewer: Svetlana Hageraats-Ponomareva  
Slides quality should be improved.

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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 12/29/2023 January 31, 2024
Reviewer: Ilona Larsson  
The course is good and provides good profiling techniques, however, as the time stamp on the slides indicates 2007 and 2017, the repeated statements about the existing profiling tooling on the market (and how none exists), might not be up to date.

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  0 of 0 people found the following review helpful:
 
4 of 5 Course Review from 8/13/2023 January 31, 2024
Reviewer: Dinesh Varshney  
Keep the subscripts since different speaker has different tones and difficult to understand in 1-2 times. We've to repeat video multiple times to understand and it is not utilization of our time. Include more examples or case studies to make us understand.

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  0 of 0 people found the following review helpful:
 
5 of 5 Course Review from 5/16/2023 January 31, 2024
Reviewer: Jessica Dimond  
Thank you for the review questions. The content was applicable, I felt the real world examples were current enough to understand the usage, challenges that are faced.

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5 of 5 Course Review from 5/4/2023 January 31, 2024
Reviewer: Lorelyn Dela Cruz  
It will be better to provide more visualization along with the explanation of each topic for easier absorption of the principles.

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