Data Quality & Profiling with ETL Pentaho DI & DataCleaner faq

star-rating
3.5
learnersLearners: 288
instructor Instructor: Rajkumar V instructor-icon
duration Duration: duration-icon

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.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Udemy

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart 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.

Course Syllabus

What does this Course cover?

Building the Foundation

Tools Introduction And Installation

Working with DataCleaner

Integrating DataCleaner with PDI

Walk Through on Demo Use Cases

Demo

What Next?

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Data Quality Management Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 288 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Udemy's official site.)
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Udemy may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Data Quality Management courses and certifications, our extensive collection at azclass.net will help you.

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