Automating Data Quality in Dev Environments / with Lauren Maffeo.

Format:

Video

Author/Creator:

Maffeo, Lauren, speaker.

Contributor:

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2024.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

Summary:

Learn how to create quality standards for your organization's data, then automate those standards in production environments.

Data quality is the backbone of successful AI, yet most leaders lack quality standards they can automate in production. This course teaches you how to create quality standards for the data in your domains, then automate those standards in production environments. Most organizations produce and ingest more data than they can effectively manage, with insufficient standards to measure quality. As leaders face increasing pressure to leverage AI, companies that don't adopt and implement better standards will fall behind. Instructor Lauren Maffeo explains how to define data quality standards per domain, who should set these quality standards, which tools you should use to scale and automate these standards, and how to ensure that any new data is measured against these standards. Gain an understanding of the people, processes, and tools needed to know what data quality looks like and integrate those standards into your data architecture.

Participant:

Presenter: Lauren Maffeo

Notes:

8/07/202412:00:00AM

Access Restriction:

Restricted for use by site license.