G Data CyberDefense AG (until September 2019 G Data Software AG) is a German software company that focuses on computer security. The company was founded...

Dark data Data (computer science) Data acquisition Data analysis Data bank Data cable Data curation Data domain Data element Data farming Data governance...

population (e.g., age and income) may be specified and obtained. Data may be numerical or categorical (i.e., a text label for numbers). Data may be collected...

structured, or unstructured data. Data science also integrates domain knowledge from the underlying application domain (e.g., natural sciences, information...

supply, data communication connections, environmental controls (e.g., air conditioning, fire suppression), and various security devices. A large data center...

variety of data formats, such as FASTA/FASTQ for unaligned sequencing reads and SAM/BAM/CRAM for aligned reads. The ISO/IEC 23092 (MPEG-G) standard aims...

generally data modeling or, more specifically, database design. Data models are typically specified by a data expert, data specialist, data scientist, data librarian...

In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is...

artificial intelligence (e.g., machine learning) and business intelligence. Often the more general terms (large scale) data analysis and analytics—or,...

science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. More precisely, a data structure...

data are applied in statistics, data warehouses, and in economics. There is a distinction between aggregate data and individual data. Aggregate data refers...

product, e.g. ingredient variations. For each product run the unique code is supplied to the printer. Label artwork is required to allow the 2D Data Matrix...

Data and information visualization (data viz/vis or info viz/vis) is the practice of designing and creating graphic or visual representations of quantitative...

Data engineering is a software engineering approach to the building of data systems, to enable the collection and usage of data. This data is usually used...

Big data primarily refers to data sets that are too large or complex to be dealt with by traditional data-processing software. Data with many entries...

initiatives Data.gov, Data.gov.uk and Data.gov.in. Open data can be linked data—referred to as linked open data. One of the most important forms of open data is...

publication of data. 'Economic statistics' may also refer to a subtopic of official statistics produced by official organizations (e.g. statistical institutes...

purposely make data expire over time. Data such as smoke signals or skywriting are temporary by nature. Depending on the volatility, a gas (e.g. atmosphere...

Data communication, including data transmission and data reception, is the transfer of data, transmitted and received over a point-to-point or point-to-multipoint...

gaming company G-Mode, a subsidiary of Marvelous. A small number of Data East video games are owned by other companies, notably Paon DP. Data East was founded...

In computing, data validation or input validation is the process of ensuring data has undergone data cleansing to confirm it has data quality, that is...

codes Fixed conversion rates e.g., weight, temperature, and length Calendar structure and constraints Reference data sets are sometimes alternatively...

to do (e.g., passing a what-to-do flag). Stamp coupling (data-structured coupling) Stamp coupling occurs when modules share a composite data structure...

Data quality refers to the state of qualitative or quantitative pieces of information. There are many definitions of data quality, but data is generally...

used). Data constraints fall into the following categories: Data-Type Constraints: values in a particular column must be of a particular data type, e.g., Boolean...

transformed data is of the following form b i = r s r + s log ⁡ g ( x R ) g ( x S ) {\displaystyle b_{i}={\sqrt {\frac {rs}{r+s}}}\log {\frac {g(x_{R})}{g(x_{S})}}}...

Synthetic data are artificially-generated data not produced by real-world events. Typically created using algorithms, synthetic data can be deployed to...

data/information gather variables generally referring to reference data or master data – e.g. dates, times, time zones, currencies. Typical transactions are:...

In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original...

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