transaction fact table

I thought in two options, first I will maintain a fact table representing the three table, fact for open transactions, fact for any customer transaction and fact for settle transaction. The grain of a transaction fact table is a point in space and time. These events are associated with master records to ensure normalization. Most of the querying is done on transaction tables. For example, the grain of the policy transaction fact table should be one row for each individual policy transaction. Exceptions to this rule are the standard business rules that are applied to enhance the data, This is the most prevalent type of fact table and source facts are cumulative in nature. The snapshot fact in dense as there will be a record for each time period or event regardless of the number of transactions or amount of change in the measure. Snapshot fact tables are similar to the transactional fact table in design but sample the data at predetermined points in time or as a result of a specific event. A transaction fact table is a fact table that contains measures, keys to dimension tables, and degenerate dimensions, if applicable. I have to track the status of my business process for analysis purpose. Transaction Fact Tables. Transaction Fact Table. Here we would like to draw your attention to DELETE_FACTS transaction code in SAP.As we know it is being used in the SAP BW-BEX (Business Explorer in BW) component which is coming under BW module (Business Warehouse).DELETE_FACTS is a transaction code used for Delete from the fact table in SAP. DELETE_FACTS SAP tcode for – Delete from the fact table. Fact tables are normally loaded from transaction tables, such as order tables. Transactional fact tables are the most common fact in dimensional modeling. The analytics tools, OLTP, partitioning are applied on transaction tables. Transaction tables are designed to store events in the system. They hold the smallest of business details. The grain of this type is one row per transaction, or one row per line on a transaction. Daniel Murray asked me a question about periodic snapshot -vs- transaction fact tables, one I've wrestled with mentally for awhile. When using this fact table to examine the current state of something going through the business process, all rows should be summed through the latest time period that is being examined. Some examples: IP/MAC address assigned to a given computer Computer up-time Daily account balance in your bank account On-hand stock in a store where the only available information about … In a store, the main transaction is probably orders; in a lab, the main transaction is probably tests; and in a bank, it’s deposits and withdrawals.Usually, there is an individual interacting with the entity, typically a user or a customer.. Suppose the source data you start with is transactional in nature. Each business generally has a main transaction. Because the transactions can quickly grow in large numbers. As a transaction happens, extensive context about it is captured. It is used to represent an occurrence of an event at any instantaneous point of time. Or from transactional files, such as web logs. This is the simplest and most common type of fact table. Transaction: Fact data tables of this type hold the source record as-is without any modifications to actual data. Transactional fact tables capture the measurement at its most atomic dimensional level, at the point-in-time of the transaction. The facts measure are valid only for that particular instant and only for that event. The grain of transaction table is one row per transaction. Second is to create a single fact to hold all transactions, to do so I would have to do a full join on three tables. This is a fundamental and basic view of business operations. 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