Data Quality & Profiling with ETL Pentaho DI & DataCleaner

About Data Quality & Profiling with ETL Pentaho DI & DataCleaner

Learn the key terminologies, basic concepts, implementation techniques that you will need to build fully functional data quality implementations with the popular ETL tool - Pentaho Data Integration and Data Quality tool - DataCleaner. Learn by comprehensive hands-on sessions to improve the data quality by profiling, cleansing and automating the DQM process with tools.

The concepts learned in this course can be applied in other ETL or Data Quality assurance tool as well. 

Take care of the data to take care of the businessLearning the fundamentals and understanding the implementation of Data Quality tasks is something very imperative for any business to keep up in this competitive world. Ensuring the data quality will keep your business or projects from losses.

There are plenty of opportunities in data domain, and being able to learn and appreciate the importance of data quality will give you a confidence to tackle the challenges that you encounter while handling data of any volume and format.

Content and Overview

Through this 8 session course, 43 lectures and 103 minutes of content, you will learn the key terms in Data Quality, basics of Pentaho Data Integration and Datacleaner tool, how to install the tools, how to automate the key data quality and data profiling tasks with series of demo sessions.

You can test the knowledge gained through the sessions by attending quizzes and every use case mentioned in the course are explained with demo sessions thereby enabling you to practice the newly learned skills. 

Downloadable Resources

You can also download the files (available in the last session of this course) used for demo sessions in the course to practice at your end.

Learners who completes this course will have the knowledge and confidence to implement fully functional automated data quality solutions in the projects.