In computing, data transformation is the process of converting data from one format or structure into another format or structure. It is a fundamental...

In computing, extract, transform, load (ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning),...

Data-intensive computing is a class of parallel computing applications which use a data parallel approach to process large volumes of data typically terabytes...

In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used...

Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct...

In distributed computing, a conflict-free replicated data type (CRDT) is a data structure that is replicated across multiple computers in a network, with...

and others founded the Open Compute Project (OCP) to develop and publish open standards for greener data center computing technologies. As part of the...

there are no comprehensive data sets on digital transformation at the macro level, the overall effect of digital transformation is still (as of 2020[update])...

computing, business consulting methodology and utilities, business process modeling, transformation and integration. This scope of Services Computing...

Operational Transformation in Distributed Real-Time Group Editors. In Proc. of the 18th ACM Symposium on Principles of Distributed Computing. pp. 43–52...