Logarithm - Wikipedia
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Raymond Williamsfor example, argues against loose, "popular" usage of base and superstructure as discrete entities which, he explains, is not the intention of Marx and Engels: So, we have to say that when we talk of 'the base', we are talking of a process, and not a state We have to revalue 'superstructure' towards a related range of cultural practices, and away from a reflected, reproduced, or specifically-dependent content.
And, crucially, we have to revalue 'the base' away from [the] notion[s] of [either] a fixed economic or [a] technological abstraction, and towards the specific activities of men in real, social and economic relationships, containing fundamental contradictions and variations, and, therefore, always in a state of dynamic process.
The first is that economic structure is independent from production in many cases, with relations of production or property also having a strong effect on production.
Defenders of the theory claim that Marx believed in property relations and social relations of production as two separate entities.
Regarding developments in the United States during this era roughlyJenkins highlights the nature in which political parties and the political system itself are inherently designed to protect the economic base of capitalism and, in doing so, have become "increasingly centralized, coordinated, and synchronized over the past half-century.
Base and superstructure
His analysis specifically addresses the role of both major parties, Democrats and Republicans, in the United States: It reminds us of John Dewey's claim that, 'As long as politics is the shadow cast on society by big business, the attenuation of the shadow will not change the substance.
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Baseball metaphors for sex - Wikipedia
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One of the strengths of the relational model is that, in principle, any value occurring in two different records belonging to the same table or to different tablesimplies a relationship among those two records.
Yet, in order to enforce explicit integrity constraintsrelationships between records in tables can also be defined explicitly, by identifying or non-identifying parent-child relationships characterized by assigning cardinality 1: Tables can also have a designated single attribute or a set of attributes that can act as a "key", which can be used to uniquely identify each tuple in the table.
A key that can be used to uniquely identify a row in a table is called a primary key. Keys are commonly used to join or combine data from two or more tables.
For example, an Employee table may contain a column named Location which contains a value that matches the key of a Location table. Keys are also critical in the creation of indexes, which facilitate fast retrieval of data from large tables.
Any column can be a key, or multiple columns can be grouped together into a compound key.
Dating bases wiki
It is not necessary to define all the keys in advance; a column can be used as a key even if it was not originally intended to be one. A key that has an external, real-world meaning such as a person's name, a book's ISBNor a car's serial number is sometimes called a "natural" key. If no natural key is suitable think of the many people named Brownan arbitrary or surrogate key can be assigned such as by giving employees ID numbers.
In practice, most databases have both generated and natural keys, because generated keys can be used internally to create links between rows that cannot break, while natural keys can be used, less reliably, for searches and for integration with other databases.
For example, records in two independently developed databases could be matched up by social security numberexcept when the social security numbers are incorrect, missing, or have changed. Dimensional model[ edit ] The dimensional model is a specialized adaptation of the relational model used to represent data in data warehouses in a way that data can be easily summarized using online analytical processing, or OLAP queries.
In the dimensional model, a database schema consists of a single large table of facts that are described using dimensions and measures.
Database model - Wikipedia
A dimension provides the context of a fact such as who participated, when and where it happened, and its type and is used in queries to group related facts together. Dimensions tend to be discrete and are often hierarchical; for example, the location might include the building, state, and country. A measure is a quantity describing the fact, such as revenue.
It is important that measures can be meaningfully aggregated—for example, the revenue from different locations can be added together. In an OLAP query, dimensions are chosen and the facts are grouped and aggregated together to create a summary. The dimensional model is often implemented on top of the relational model using a star schemaconsisting of one highly normalized table containing the facts, and surrounding denormalized tables containing each dimension.
An alternative physical implementation, called a snowflake schemanormalizes multi-level hierarchies within a dimension into multiple tables.
A data warehouse can contain multiple dimensional schemas that share dimension tables, allowing them to be used together. Coming up with a standard set of dimensions is an important part of dimensional modeling.