IncluSet: A data surfacing repository for accessibility datasets
Datasets and data sharing play an important role for innovation, benchmarking, mitigating
bias, and understanding the complexity of real world AI-infused applications. However, there …
bias, and understanding the complexity of real world AI-infused applications. However, there …
Sharing practices for datasets related to accessibility and aging
Datasets sourced from people with disabilities and older adults play an important role in
innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused …
innovation, benchmarking, and mitigating bias for both assistive and inclusive AI-infused …
CloudETL: scalable dimensional ETL for hive
Extract-Transform-Load (ETL) programs process data into data warehouses (DWs). Rapidly
growing data volumes demand systems that scale out. Recently, much attention has been …
growing data volumes demand systems that scale out. Recently, much attention has been …
pygrametl: A powerful programming framework for extract-transform-load programmers
C Thomsen, T Bach Pedersen - Proceedings of the ACM twelfth …, 2009 - dl.acm.org
Extract-Transform-Load (ETL) processes are used for extracting data, transforming it and
loading it into data warehouses (DWs). Many tools for creating ETL processes exist. The …
loading it into data warehouses (DWs). Many tools for creating ETL processes exist. The …
ETLMR: a highly scalable dimensional ETL framework based on MapReduce
Abstract Extract-Transform-Load (ETL) flows periodically populate data warehouses (DWs)
with data from different source systems. An increasing challenge for ETL flows is processing …
with data from different source systems. An increasing challenge for ETL flows is processing …
P-ETL: Parallel-ETL based on the MapReduce paradigm
Big data is an opportunity in the emergence of novel business applications such as “Big
Data Analytics”(BDA). However, these data with non-traditional volumes create a real …
Data Analytics”(BDA). However, these data with non-traditional volumes create a real …
ETLMR: a highly scalable dimensional ETL framework based on mapreduce
Abstract Extract-Transform-Load (ETL) flows periodically populate data warehouses (DWs)
with data from different source systems. An increasing challenge for ETL flows is to process …
with data from different source systems. An increasing challenge for ETL flows is to process …
A data warehouse solution for e-Government
X Liu, X Luo - International Journal of Research and Reviews in …, 2010 - orbit.dtu.dk
Abstract The eGovMon Data Warehouse (eGovMon DW) is built as a data repository for
eGovernment services benchmarking results. We propose a DW architecture with open …
eGovernment services benchmarking results. We propose a DW architecture with open …
Data warehousing technologies for large-scale and right-time data
X Liu - 2012 - orbit.dtu.dk
This thesis is about data warehousing technologies for large-scale and right-time data.
Today, due to the exponential growth of data, it has become a common practice for many …
Today, due to the exponential growth of data, it has become a common practice for many …
Pygrametl: A powerful programming framework for easy creation and testing of ETL flows
Abstract Extract-Transform-Load (ETL) flows are used to extract data, transform it, and load it
into data warehouses (DWs). The dominating ETL tools use graphical user interfaces (GUIs) …
into data warehouses (DWs). The dominating ETL tools use graphical user interfaces (GUIs) …