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The National CET Institute (NCI) is the pinnacle status conferred by WDA to WSQ CET that demonstrate high quality delivery, and commitment to support workforce development programme in the WSQ sectors which it serve. The following CET has been conferred NCI status in March 2009: 1. At-Sunrice Global Chef Academy for Food & Beverage WSQ framework 2.
The WSHC collaborates with other government agencies, including the Workforce Development Agency (WDA). Utilizing the Workforce Skills Qualification (WSQ) framework developed by WDA, the WSH Professional WSQ framework was established for the competency training of workplace safety and health professionals.
A WSQ Graduate Diploma is a high-level qualification under the Singapore's Workforce Skills Qualifications (WSQ) system, a national framework for training, developing, assessing, and certifying workforce skills and competencies. These diplomas are typically offered through bite-sized training modules, allowing individuals to learn at their own ...
Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...
WSQ can refer to: Wavelet Scalar Quantization , a fingerprint image compression algorithm Workforce Skills Qualifications , Singapore national continuing education and training system
Data as a service is a general term that encompasses data-related services. Now DaaS service providers are replacing traditional data analytics services or happily clustering with existing services to offer more value-addition to customers. The DaaS providers are curating, aggregating, analyzing multi-source data in order to provide additional ...
The Data QC process uses the information from the QA process to decide to use the data for analysis or in an application or business process. General example: if a Data QC process finds that the data contains too many errors or inconsistencies, then it prevents that data from being used for its intended process which could cause disruption.
Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...