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Data engineering. Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. [1][2] Making the data usable usually involves substantial compute and storage, as well as data processing.
In computing, online analytical processing, or OLAP (/ ˈoʊlæp /), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [ 1 ] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [ 2 ] OLAP is part of the broader category of business intelligence ...
Methodology of econometrics. The methodology of econometrics is the study of the range of differing approaches to undertaking econometric analysis. [1] The econometric approaches can be broadly classified into nonstructural and structural. The nonstructural models are based primarily on statistics (although not necessarily on formal statistical ...
A laboratory information management system (LIMS), sometimes referred to as a laboratory information system (LIS) or laboratory management system (LMS), is a software -based solution with features that support a modern laboratory 's operations. Key features include—but are not limited to— workflow and data tracking support, flexible ...
The most common data recovery scenarios involve an operating system failure, malfunction of a storage device, logical failure of storage devices, accidental damage or deletion, etc. (typically, on a single-drive, single-partition, single-OS system), in which case the ultimate goal is simply to copy all important files from the damaged media to another new drive.
In software engineering, in-memory processing is a software architecture where a database is kept entirely in random-access memory (RAM) or flash memory so that usual accesses, in particular read or query operations, do not require access to disk storage. [2] This may allow faster data operations such as "joins", and faster reporting and ...
Finance. Finance refers to monetary resources and to the study and discipline of money, currency, assets and liabilities. [a] As a subject of study, it is related to but distinct from economics, which is the study of the production, distribution, and consumption of goods and services.
Data lineage is the process of tracking how data has been passed around and transformed throughout a system. It includes the data origin, what happens to it, and where it moves over time. [ 1 ] Data lineage provides visibility and simplifies tracing errors back to the root cause in a data analytics process.