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Pan Hui is a computer scientist at the University of Helsinki and The Hong Kong University of Science and Technology (HKUST). Currently, he is a Chair Professor of Computational Media and Arts (CMA), a Chair Professor of Emerging Interdisciplinary Areas, Director of the Center for Metaverse and Computational Creativity, and also Director of the HKUST-DT Systems and Media Laboratory (SyMLab) at ...
She co-founded the Human Language Technology Center (HLTC) and is an affiliated faculty with the Robotics Institute and the Big Data Institute, both at HKUST. [6] Additionally, she is the founding chair of the Women Faculty Association at HKUST. [7] She is actively involved in encouraging young women into careers in engineering and science. [8]
The term big data has been in use since the 1990s, with some giving credit to John Mashey for popularizing the term. [22] [23] Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time.
In the fields of Information Technology (IT) and Systems Management, IT operations analytics (ITOA) is an approach or method to retrieve, analyze, and report data for IT operations. ITOA may apply big data analytics to large datasets to produce business insights. [1] [2] In 2014, Gartner predicted its use might increase revenue or reduce costs. [3]
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 ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Online analytical processing (OLAP) [2] is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number of dimensions is greater than three.
Edward Y. Chang is a computer scientist, academic, and author.He is an adjunct professor of Computer Science at Stanford University, [1] and Visiting Chair Professor of Bioinformatics and Medical Engineering at Asia University, since 2019.
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