Examples of using Data quality issues in English and their translations into Chinese
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Political
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Ecclesiastic
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Programming
Data quality issues.
In order to address data quality issues effectively.
Describe the role of domain knowledge in addressing data quality issues.
Outages and data quality issues are painful for batch systems.
Two, it's likely there is some data quality issues.
These data quality issues bring a new level of potential problems for real-time systems.
In the last lecture we discussed data quality issues.
Data quality issues pertaining to different terms for the same objects are significantly reduced with this approach;
Many organizations also struggle with data quality issues.
His other research interests include data quality issues, spatial data mining and analysis, predictive analytics and location-based services(LBS).
We are starting to see some tools that automate data quality issues.
Among 2nd Watch respondents, data quality issues, outdated infrastructure, and a lack of internal expertise were the biggest hurdles to execution.”.
In the case of CONS-O-3 and CONS-O-4 there were no major data quality issues.
This course identifies data quality issues throughout the data lifecycle, and reviews specific techniques and approaches for checking and improving data quality. .
The main problemsencountered were either the lack of data or data quality issues.
UNDP will review data quality issues and provide clear guidelines for the effective use of the procurement dashboard at its offices and headquarters as a management oversight/monitoring tool.
Apache Griffin enables data scientists/analysts to handle data quality issues by:.
In order to address data quality issues identified in the information provided by reporting entities, as outlined above, logical and statistical methods have been applied to increase reliability of the analysis.
Based on anomalies cited from the cobbled together management reports,identified significant data quality issues.
A schematic framework is being developed to examine the conceptual,measurement and data quality issues related to international trade and economic globalization.
(d) Work programme, including the prioritization of work on the various conceptual,measurement and data quality issues;
Several capacitybuilding activities on Millennium Development Goals have beenorganized to address existing data gaps and data quality issues related to the Millennium Development Goal indicators.
Preprocessing is almost always required to deal with missing data, outliers,or other unforeseen data quality issues.
Organizations that have undergone mergers and acquisitions face particularly steep challenges,particularly when it comes to handling data governance and data quality issues.
The interpretation of statistical patterns and trends should therefore be conducted with caution, and the comparisons of regionsneed to take into account data coverage and data quality issues.
That is a data quality issue.
This is a data quality issue.
They're able to figure out the difference between a code issue and a data quality issue.