Normalization vs. Denormalization Data | Power BI || Belayet Hossain

?????????????????????? the data to keep it organized and clean, and

????-?????????????????????? where performance and simplicity are key.

??????????????????????????:

???????? ???? ????: Breaking down your data into multiple tables to avoid duplication.

?????? ?????? ????: Keeps your data clean and organized, making it easier to update without mistakes.

?????? ???? ??????????:

Imagine you have data about customers and their orders. Instead of storing all customer information with every order, you create a separate ???????????????? ?????????? and link it to the ???????????? ??????????. Each table only contains the information relevant to it, and you use relationships to connect the data.

??????????????????????????????:

???????? ???? ????:Combining related tables into one to make things simpler and faster.

?????? ?????? ????: Makes it quicker to get the data you need, especially for reports, but it might mean some data is repeated.

?????? ???? ??????????:

Using the same example of customers and orders, instead of having separate ???????????????? and ???????????? ????????????, you might combine them into one ???????????????????????????? table. This table would contain all the data you need in one place, making it easier to build reports without needing to join multiple tables.

?????? ????????????????????:

?????????????????????????? is about organizing data to reduce repetition, which is great for accuracy and updates.

?????????????????????????????? is about simplifying data for quicker access, which is better for performance but can lead to some repeated data.

In Power BI, you'll often use a mix of both to balance data accuracy and report performance.