Data Quality in Data Warehouse
Poor-quality data creates problems for both sides of the house—IT and business. According to a study published by The Data Warehousing Institute (TDWI) entitled taking Data Quality to the enterprise through Data Governance, some issues are primarily technical in nature, such as the extra time required for reconciling data or delays [...]
From the category archives:
ETL and BI Testing
NoSQL DB
A term invented by Carlo Strozzi in 1998 , NoSQL has been a hard term to pin down from the beginning. For one thing, while most people now translate the term to mean ‘Not Only SQL,’ there are other accepted variations. More importantly, the term refers to a broad, emerging class of non-relational [...]
Today’s Top Data-Management Challenge:
Businesses today are challenged by the ongoing explosion of data. Gartner is predicting data growth will exceed 650% over the next five years. Organizations capture, track, analyze and store everything from mass quantities of transactional, online and mobile data, to growing amounts of machine-generated data. In fact, machine-generated data, including sources [...]
Introduction:
There is an exponentially increasing cost associated with finding software defects later in the development lifecycle. In data warehousing, this is compounded because of the additional business costs of using incorrect data to make critical business decisions. Given the importance of early detection of software defects, let’s first review some general goals of testing an [...]
