With the increasing complexity of data-centric projects, there’s a noticeable shortage of QA professionals skilled in Data Testing across critical use cases like:
ETL Data Pipeline Testing
Cloud Data Migration Testing
Data Warehouse Testing
Big Data Lake Testing
BI Report Testing
System Migration Testing
In this session, we’ll cover the fundamentals of data testing and explore two key use cases:
Data Warehouse Testing
Data Migration Testing
You’ll also gain insights into how automated data testing, monitoring and observability can enhance data reliability and ensure integrity in complex environments.
This session is essential for QA professionals looking to elevate their skill set and tackle the growing demand for data-centric QA expertise.
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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.
