What is accumulating snapshot?
An accumulating snapshot is a type of fact table that records a single row for something the enterprise tracks closely, such as a trouble ticket or mortgage application–or, in the reader’s case, an order.
What is an accumulating fact table?
An accumulating fact table or accumulating fact entity stores one row for the entire lifetime of an event. An example of an accumulating fact table or entity records the lifetime of a credit card application from the time it is sent to the time it is accepted.
What is snapshot table in data warehouse?
A snapshot table holds the same raw, transactional data as its source in the transactional system, with additional fields for tracking the snapshot date. Snapshot tables are populated nightly with those rows of data that are considered effective (i.e., current) in the source table at the time of the extract.
What is the periodic snapshot fact?
(Periodic) Snapshot fact tables capture the state of the measures based on the occurrence of a status event or at a specified point-in-time or over specified time intervals (week, month, quarter, year, etc.).
What is a factless fact?
Factless facts are those fact tables that have no measures associated with the transaction. Factless facts are a simple collection of dimensional keys which define the transactions or describing condition for the time period of the fact.
What is example of fact?
The definition of a fact is something that is true or something that has occurred or has been proven correct. An example of a fact is that the world is round. An example of a fact is the detail about a driver texting while driving that is told to the court and reported in a news story.
What is factless fact example?
A factless fact table is a fact table that does not have any measures. It is essentially an intersection of dimensions (it contains nothing but dimensional keys). For example, you can have a factless fact table to capture student attendance, creating a row each time a student attends a class.