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Append in Power Query is used to combine multiple tables or queries into a single table or query.
Append is used to stack tables on top of each other, adding rows from one table to the end of another.
It is useful when you have multiple tables with the same structure and want to combine them into one.
You can append tables from different data sources or within the same data source.
For example, you can append sales data fr...
Merge in Power Query combines multiple tables into one by matching rows based on specified columns.
Merge is used to combine tables in Power Query
You can merge based on one or more columns
Different types of merges include inner, left outer, right outer, and full outer joins
Filter context determines which rows of data are visible to calculations in DAX formulas.
Filter context is dynamic and changes based on user interactions.
It can be set by slicers, filters, or relationships between tables.
Filter context is used to calculate results based on the current filter selections.
It helps in determining which rows of data are included in calculations.
Summarize function is used in Power BI to aggregate data based on specified columns.
Used to group data and perform aggregate functions like sum, count, average, etc.
Can be used in DAX formulas to create calculated columns or measures.
Example: SUMMARIZE('Table', 'Column1', 'Column2', SUM('Value'))
Aptitude consists of apti,reasoning, sql and power bi questions, some verbal questions too.
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Normalization is a database design technique that organizes data in a structured manner to eliminate redundancy and improve data integrity.
Normalization helps in reducing data redundancy by breaking down a large table into smaller, more manageable tables.
There are different normal forms, such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with specific rules and dependencies.
Normalization ensures data integrity by minimizing da...
Normalization is a database design technique that organizes data in a structured manner to eliminate redundancy and improve data integrity.
Normalization helps in reducing data redundancy by breaking down a large table into smaller, more manageable tables.
There are different normal forms, such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with specific rules and dependencies.
Normalization ensures data integrity by minimizing da...
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