Types of Data Loading
Types of Data Loading
Effortless Input, Limitless Potential: Unleashing Data Loading Excellence.
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Soon after your departure from the extraction phase, you will be faced with the decision of which loading process that you would like to deploy. The data loading process is the physical movement of the data from the computer systems storing the source database(s) to that which will store the data warehouse database. The entire process of transferring data to a data warehouse repository is referred to in the following ways:
Full Load
Full Load
This is where all of your data is selected, moved in bulk, and then replaced by new data. Although it is not as complex to navigate through, loading time is much slower. With the overwhelming amount of data being moved at once, it is much easier for data to get lost within the big move. For the very first time loading all the data warehouse tables.
Incremental Load
Incremental Load
This is where you are moving new data in intervals. Due to its intricate nature, delivery time is much faster than its counterpart. However, this speed comes at a cost. Incremental loads are more likely to encounter problems due to the nature of having to manage them as individual batches rather than one big group. Incremental Load Periodically applies ongoing changes as per the requirement. After the data is loaded into the data warehouse database, verify the referential integrity between the dimensions and the fact tables to ensure that all records belong to the appropriate records in the other tables. The DBA must verify that each record in the fact table is related to one record in each dimension table that will be used in combination with that fact table.
Full Refresh
Full Refresh
Deleting the contents of a table and reloading it with fresh data.
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