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Illustration of bottom up and top down approach to heap sort. Bottom–up and top–down are both strategies of information processing and ordering knowledge, used in a variety of fields including software, humanistic and scientific theories (see systemics), and management and organization. In practice they can be seen as a style of thinking ...
Investors using fundamental analysis can use either a top-down or bottom-up approach. The top-down investor starts their analysis with global economics, including both international and national economic indicators. These may include GDP growth rates, inflation, interest rates, exchange rates, productivity, and energy prices. They subsequently ...
Bottom-up may refer to: Bottom-up analysis, a fundamental analysis technique in accounting and finance; Bottom-up parsing, a computer science strategy; Bottom-up processing, in Pattern recognition (psychology) Bottom-up theories of galaxy formation and evolution; Bottom-up tree automaton, in data structures; Bottom-up integration testing, in ...
When it came to the bad mortgages banks held on their books, the government chose mostly -- at least at first -- to aid the banks in a top-down approach. The idea was Bottom up: A better way to ...
The methodology "covers a sequence of high level tasks for the effective design, development and deployment" of a data warehouse or business intelligence system. [1] It is considered a "bottom-up" approach to data warehousing as pioneered by Ralph Kimball, in contrast to the older "top-down" approach pioneered by Bill Inmon. [2]
Choose the business process. The process of dimensional modeling builds on a 4-step design method that helps to ensure the usability of the dimensional model and the use of the data warehouse. The basics in the design build on the actual business process which the data warehouse should cover. Therefore, the first step in the model is to ...
Ralph Kimball (born July 18, 1944 [1]) is an author on the subject of data warehousing and business intelligence.He is one of the original architects of data warehousing and is known for long-term convictions that data warehouses must be designed to be understandable and fast.
A maturity model is a framework for measuring an organization's maturity, or that of a business function within an organization, [1] with maturity being defined as a measurement of the ability of an organization for continuous improvement in a particular discipline (as defined in O-ISM3 [dubious – discuss]). [2]