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column data

См. также в других словарях:

  • Column (data store) — A column consists of a (unique) name, a value, and a timestamp. A column of a distributed data store is a NoSQL object of the lowest level in a keyspace. It is a tuple (a key value pair) consisting of three elements:[1] Unique name: Used to… …   Wikipedia

  • Column-oriented DBMS — A column oriented DBMS is a database management system (DBMS) that stores its content by column rather than by row. This has advantages for data warehouses and library catalogues where aggregates are computed over large numbers of similar data… …   Wikipedia

  • Column (database) — In the context of a relational database table, a column is a set of data values of a particular simple type, one for each row of the table.[1] The columns provide the structure according to which the rows are composed. The term field is often… …   Wikipedia

  • Column Technologies — Type Private Industry Software and Consulting Founded 1998 Headquarters …   Wikipedia

  • Data profiling — is the process of examining the data available in an existing data source (e.g. a database or a file) and collecting statistics and information about that data. The purpose of these statistics may be to: Find out whether existing data can easily… …   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 integrity — in its broadest meaning refers to the trustworthiness of system resources over their entire life cycle. In more analytic terms, it is the representational faithfulness of information to the true state of the object that the information represents …   Wikipedia

  • Data Vault Modeling — is a database modeling method that is designed to provide historical storage of data coming in from multiple operational systems. It is also a method of looking at historical data that, apart from the modeling aspect, deals with issues such as… …   Wikipedia

  • 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 architecture — in enterprise architecture is the design of data for use in defining the target state and the subsequent planning needed to achieve the target state. It is usually one of several architecture domains that form the pillars of an enterprise… …   Wikipedia

  • Data transformation — Data transformation/Source transformation Concepts metadata · data mapping data transformation · model transf …   Wikipedia

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