영어에서 Data cleansing 을 사용하는 예와 한국어로 번역
{-}
-
Colloquial
-
Ecclesiastic
-
Ecclesiastic
-
Programming
-
Computer
Three Tips for Spring Data Cleansing….
Data Cleansing: Efficient System Resource.
Collecting returned materials and customer data cleansing services.
During data cleansing, the associated knowledge base is read-only.
When should an outside service be used for data cleansing and enrichment?
For example, data cleansing must already be excellent and system architectures must be set up.
SAS on the server is invaluable for data cleansing, integration, security and access.
The metadata for the data source stays the same even when you shift between live to extract and back again. Data Cleansing.
You can then use that knowledge to perform data cleansing, matching, and profiling.
DQS enables you to perform data cleansing using cloud-based reference data services provided by reference data providers.
Seamlessly move data from a variety of sources into SAS for data cleansing, integration and sampling.
Database professionals who need to fulfill a BI developer role focused on hands-on work,creating BI solutions included data warehouse implementation, ETL, and data cleansing.
Bi-Directional Access- Perfect for mass imports/exports/updates, data cleansing and Excel based data analysis.
It stores the data cleansing, validation, matching, and merging rules, history, and meta data so they can be reused for subsequent data migration projects.
After analysis results, we can validate and enhance the knowledge, and then apply it to perform data cleansing, matching, and profiling.
The following illustration displays how data cleansing is done using the Data Quality Client application.
With improved filtering and text parsing options, support for multiple response data andvalue labels and integration with the Formula Depot in JMP Pro, you won't trust your data cleansing to any other tool.
The data steward can also perform data cleansing in the Integration Services packaging process.
Provides a highly simple and intuitive graphical user interface to connect to the DQS server,and perform data cleansing operations.
You do not have to perform the interactive steps of a data cleansing project within the Data Quality Client application.
Profiling: the analysis of a data source to provide insight into the quality of the data at every stage in the knowledge discovery, domain management,matching, and data cleansing processes.
The DQS Cleansing component in Integration Services enables you to perform data cleansing as part of an Integration Services package.
Profiling- It does the analysis of the data source to provide insight into the quality of the data and helps to identify data quality issues at every stage in knowledge discovery, domain management,matching and data cleansing processes.
The data steward does so byusing confidence levels and statistics identified by the data cleansing process, or by manually entering their own changes in the project.
Interactive Cleansing: The data steward can perform the interactive cleansing process to change or augment data corrections that have been proposed by the computer-assisted data cleansing process.
You can now take advantage of R inside the Query Editor to perform data cleansing, advanced data shaping, and analytics in datasets including completion of missing data, predictions, and clustering, just to name a few.
It is a stand-alone executable file that performs knowledge discovery, domain management,matching policy creation, data cleansing, matching, profiling, monitoring, and server administration.
This integration of R into Query Editor lets you perform data cleansing using R, and perform advanced data shaping and analytics in datasets, including completion of missing data, predictions, and clustering, just to name a few.
The Python integration in the Query Editor lets you perform data cleansing using Python and perform advanced data shaping and analytics in your data, including completion of missing data, predictions, and clustering, just to name a few.