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Data Quality & Profiling with ETL Pentaho DI & DataCleaner

Learners: 288

Instructor: Rajkumar V

Duration:

This course provides learners with the opportunity to learn the key terminologies, basic concepts, and implementation techniques needed to build fully functional data quality implementations with the popular ETL tool Pentaho Data Integration and Data Quality tool DataCleaner. With 8 sessions, 43 lectures, and 103 minutes of content, learners will gain an understanding of the importance of data quality and the confidence to tackle the challenges of handling data of any volume and format. Downloadable resources and quizzes are also included to test knowledge. Upon completion, learners will have the knowledge and confidence to implement fully functional automated data quality solutions in their projects. Join this course to gain the skills to improve data quality by profiling, cleansing, and automating the DQM process with these tools.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2016-07-25

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course provides learners with the opportunity to gain an understanding of the key terminologies, basic concepts, and implementation techniques needed to build fully functional data quality implementations with the popular ETL tool Pentaho Data Integration and Data Quality tool DataCleaner. Through comprehensive hands-on sessions, learners will be able to improve data quality by profiling, cleansing, and automating the DQM process with these tools. The concepts learned in this course can be applied to other ETL or Data Quality assurance tools as well. Learners will gain an appreciation for the importance of data quality and the confidence to tackle the challenges of handling data of any volume and format. The course includes 43 lectures, 8 sessions, and 103 minutes of content, as well as downloadable resources and quizzes to test knowledge. Upon completion, learners will have the knowledge and confidence to implement fully functional automated data quality solutions in their projects.