Developing and maintaining a data warehouse system is a critical effort. Unless the data itself is consistent, complete and accurate, the repository can become a liability instead of an asset.
Join Talend and Joe Caserta-an influential data warehousing veteran and co-author of the The Data Warehouse ETL Toolkit, an Amazon.com Top 10 Editors’ Pick for Best Books- to learn best practices for designing and managing a data quality sub-system, and cleansing and conforming your data so that its more valuable to your organization.
In this webinar you will learn practical techniques to:
Cleanse and conform data to improve usefulness of the data warehouse contents and standardize measures shared across the organization
Build a data-driven methodology for a family of data-quality screens, and store the results for future analysis and reporting
Suggest a proven method for building and optimizing your comprehensive data-quality processing pipeline
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