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Table of Contents:
- What is the meaning of job description?
- What is junk dimension with example?
- Can we join two fact tables?
- What is star schema and snowflake?
- What are facts in SQL?
- Is fact table is Normalised?
- What does cardinality mean?
- What are the types of cardinality?
- What is the difference between multiplicity and cardinality?
- What is the difference between counting and cardinality?
What is the meaning of job description?
A job description or JD is a written narrative that describes the general tasks, or other related duties, and responsibilities of a position. ... A job usually includes several roles. According to Hall, the job description might be broadened to form a person specification or may be known as "terms of reference".
What is junk dimension with example?
A Junk Dimension is a dimension table consisting of attributes that do not belong in the fact table or in any of the existing dimension tables. The nature of these attributes is usually text or various flags, e.g. non-generic comments or just simple yes/no or true/false indicators.
Can we join two fact tables?
The answer for both is "Yes, you can", but then also "No, you shouldn't". Joining fact tables is a big no-no for four main reasons: 1. Fact tables tend to have several keys (FK), and each join scenario will require the use of different keys.
What is star schema and snowflake?
The star schema is the simplest type of Data Warehouse schema. It is known as star schema as its structure resembles a star. A Snowflake Schema is an extension of a Star Schema, and it adds additional dimensions. It is called snowflake because its diagram resembles a Snowflake.
What are facts in SQL?
A fact table is found at the center of a star schema or snowflake schema surrounded by dimension tables. A fact table consists of facts of a particular business process e.g., sales revenue by month by product. Facts are also known as measurements or metrics. A fact table record captures a measurement or a metric.
Is fact table is Normalised?
The fact table(s) will probably be the most normalized since they usually contain just numerical values along with various id's for linking to dimensions. They key with fact tables is how granular do you need to get with your data.
What does cardinality mean?
Cardinality means two things in databases. ... When applied to databases, the meaning is a bit different: it's the number of distinct values in a table column, relative to the number of rows in the table. Repeated values in the column don't count. We usually don't talk about cardinality as a number, though.
What are the types of cardinality?
When dealing with columnar value sets, there are three types of cardinality: high-cardinality, normal-cardinality, and low-cardinality. High-cardinality refers to columns with values that are very uncommon or unique. High-cardinality column values are typically identification numbers, email addresses, or user names.
What is the difference between multiplicity and cardinality?
Simply put: a multiplicity is made up of a lower and an upper cardinality. A cardinality is how many elements are in a set. Thus, a multiplicity tells you the minimum and maximum allowed members of the set. They are not synonymous.
What is the difference between counting and cardinality?
Counting means telling how many things are in a group. This may seem simple, but it is actually fairly complex. Counting involves a variety of skills and concepts. Cardinality is the idea that the final number of the sequence represents the amount of objects that were counted.
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- What are legal implications?
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- Does Marx have an economic theory?
- How do I start Marx?
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- What is Marxist view of literature?
- What is Marxist theory of law?
- Was Marx a German?
- What Karl Marx said about socialism?
- What does Marxism have to say about international relations?
- Who are the proponents of Marxism?
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- What is Leninism theory?
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- Who are the bourgeoisie and the proletariat?
- What does historical materialism mean?