- Shared Data Architecture
- Information technology: SDA
Универсальный русско-английский словарь. Академик.ру. 2011.
Shared Data Architecture
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Shared nothing architecture — A shared nothing architecture (SN) is a distributed computing architecture in which each node is independent and self sufficient, and there is no single point of contention across the system. People typically contrast SN with systems that keep a… … Wikipedia
Data diffusion machine — is a historical virtual shared memory architecture where data is free to migrate through the machine. Shared memory machines are convenient for programming but do not scale beyond tens of processors. The Data Diffusion Machine (DDM) overcomes… … Wikipedia
Architecture Logicielle — L’architecture logicielle décrit d’une manière symbolique et schématique les différents composants d’un ou de plusieurs systèmes informatiques, leurs interrelations et leurs interactions. Contrairement aux spécifications produites par l’analyse… … Wikipédia en Français
Data model — Overview of data modeling context: A data model provides the details of information to be stored, and is of primary use when the final product is the generation of computer software code for an application or the preparation of a functional… … Wikipedia
Shared memory — In computing, shared memory is a memory that may be simultaneously accessed by multiple programs with an intent to provide communication among them or avoid redundant copies. Depending on context, programs may run on a single processor or on… … Wikipedia
Data warehouse appliance — In computing, a data warehouse appliance consists of an integrated set of servers, storage, operating system(s), DBMS and software specifically pre installed and pre optimized for data warehousing (DW). Alternatively, the term can also apply to… … Wikipedia
Architecture logicielle — L’architecture logicielle décrit d’une manière symbolique et schématique les différents éléments d’un ou de plusieurs systèmes informatiques, leurs interrelations et leurs interactions. Contrairement aux spécifications produites par l’analyse… … Wikipédia en Français
Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their … Wikipedia
Data warehouse — Overview In computing, a data warehouse (DW) is a database used for reporting and analysis. The data stored in the warehouse is uploaded from the operational systems. The data may pass through an operational data store for additional operations… … Wikipedia
Data-centric programming language — defines a category of programming languages where the primary function is the management and manipulation of data. A data centric programming language includes built in processing primitives for accessing data stored in sets, tables, lists, and… … Wikipedia
Data parallelism — (also known as loop level parallelism) is a form of parallelization of computing across multiple processors in parallel computing environments. Data parallelism focuses on distributing the data across different parallel computing nodes. It… … Wikipedia
