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A data ecosystem is the complex environment of co-dependent networks and actors that contribute to data collection, transfer and use. [1] It can span multiple sectors – such as healthcare or finance, to inform one another's practices. [2] A data ecosystem often consists of numerous data assemblages. [3]
DataLab: platform for creating self-service, exploratory data science environments in the cloud using best-of-breed data science tools; DevLake: development data platform, providing the data infrastructure for developer teams to analyze and improve their engineering productivity; HugeGraph: a large-scale and easy-to-use graph database
In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data pre-processing. [ 224 ] Big data is a buzzword and a "vague term", [ 225 ] [ 226 ] but at the same time an "obsession" [ 226 ] with entrepreneurs, consultants, scientists, and the media.
Scientific literacy may also be defined in language similar to the definitions of ocean literacy, [4] Earth science literacy [5] and climate literacy. [6] Thus a scientifically literate person can: Understand the science relevant to environmental and social issues. Communicate clearly about the science. Make informed decisions about these issues.
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
LSLAs are a specific subset of learning assessment systems. [1] They are system-level assessments that provide information of learning achievement for a given group of learners (based on age or grade) in a given year and in a limited number of domains. They are often categorized as national or cross-national (regional/international) assessments ...
A semantic data model can be used to serve many purposes. Some key objectives include: [1] Planning of data resources: A preliminary data model can be used to provide an overall view of the data required to run an enterprise. The model can then be analyzed to identify and scope projects to build shared data resources.
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
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