How to Compare Source and Target Database Schemas?
This video explores how you can use iceDQ to verify the consistency of database schemas across different data sources. Learn how to compare table structures, including column names, data types, nullability and constraints, safeguarding data integrity throughout crucial operations like migrations and data warehousing.
This video showcases the process of setting up a reconciliation rule to compare schemas, map corresponding elements, and identify potential discrepancies. This enables you to proactively address inconsistencies and ensure seamless data transfer between your databases.
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To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
Functional
Always active
The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
Preferences
The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
Statistics
The technical storage or access that is used exclusively for statistical purposes.The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
Marketing
The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
