Data Warehouse ETL Testing & Data Quality Management A-Z

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2019-04-28
Learners

No Information
Duration

No Information
Instructor

Lorenz DS

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4.3

11,280 Ratings

This course is perfect for new learners who want to learn the essentials of ETL Data Warehouse Testing and Data Quality Management. It provides step-by-step tutorials and training materials to help learners understand the basics of ETL testing, frequently used Data Quality queries, reporting and monitoring. Learners will also learn how to build database views for Data Quality monitoring and build Data Quality visualizations and reports. Additionally, the course covers automated ETL and data quality reports. With basic knowledge of SQL and some experience with Visualization tools, learners can gain the skills to build and monitor Data Quality reports and receive a certificate of completion upon completion of the course.

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Data Warehouse ETL Testing & Data Quality Management A-Z

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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 is designed to provide new learners with the essential knowledge of ETL Data Warehouse Testing and Data Quality Management. Step-by-step tutorials and training materials are provided to help learners understand the basics of ETL testing, frequently used Data Quality queries, reporting and monitoring. Learners will also learn how to build database views for Data Quality monitoring and build Data Quality visualizations and reports. Additionally, the course covers automated ETL and data quality reports. Basic knowledge of SQL and some experience with Visualization tools are prerequisites for the course. Upon successful completion, learners will receive a certificate of completion.

Course Syllabus

Introduction

Data Quality and ETL Testing - Building Database Views

Data Quality and ETL Testing - Dashboards and Monitoring

Conclusion - Final Note

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