
What you'll learn:
- Learn Data Quality tool functionality
- Learn some of the best practices of using a data quality tool
- Learn how to schedule, create alerts, profile data, report and more!
- Learn how to use one of the best Data Quality tools
Disclaimer:
This course is not sponsored by, affiliated with, or endorsed by Collibra or its affiliates. All product names and trademarks are the property of their respective owners.
Modern data quality and observability tools are considered by many to be the best way to manage your data sets by learning through observation and automation rather than manual input. These platforms apply the latest advancements in data science and machine learning to the challenge of data quality, surfacing issues in minutes instead of months.
This is a course for absolute beginners who have never used a data quality and observability tool before. We will cover the main features without going into too much detail, so you can quickly become familiar with the tool’s interface and capabilities.
What will you learn in this course:
How to set up an account with a data quality tool
Get familiar with a typical data quality tool interface
How connecting to data sources works
How running data quality jobs works
Understanding data scoring and quality metrics
Data patterns and profiling features
Duplicate detection
Schema monitoring
Record and source monitoring
Data formatting and shape validation
Outlier detection
Setting up data rules and behaviors
Scheduling data quality checks
Using scorecards and dashboards
Exploring data catalogs
Generating reports and alerts
Admin options and best practices
This course is for absolute beginners. If you have experience with data quality tools, you may find the course too basic. However, if you are new to data quality and observability tools, this will be a great starting point. I will also provide tips and resources for further learning after you master the basics.
If this is what you are looking for, enroll today and I will see you in the first lesson!