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sum() is used to calculate the sum of a column, while sumx() is used to calculate the sum of an expression evaluated for each row.
sum() is an aggregation function that calculates the sum of a column in a table.
sumx() is an iterator function that calculates the sum of an expression for each row in a table.
sumx() is useful when you need to perform calculations on a row-by-row basis, while sum() is used for simple column ...
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Common data connectivity modes include DirectQuery, Import, Live Connection, and Composite models.
DirectQuery allows querying data directly from the data source in real-time.
Import mode imports data into Power BI for faster performance but may not reflect real-time data.
Live Connection connects Power BI to a data source without importing data.
Composite models combine DirectQuery and Import modes for flexibility.
Power BI components include Power Query, Power Pivot, Power View, and Power Map.
Power Query: Used for data extraction, transformation, and loading (ETL)
Power Pivot: Used for data modeling and analysis
Power View: Used for data visualization and interactive reports
Power Map: Used for geospatial data visualization
Power Query is used for data transformation and Power View is used for data visualization in Power BI.
Power Query is used to extract, transform, and load data from different sources.
Power View is used to create interactive visualizations and reports based on the transformed data.
Power Query is more focused on data preparation and cleaning, while Power View is focused on data visualization.
Power Query can be used to mer...
Relationship cardinality defines the number of instances of one entity that can be associated with the number of instances of another entity.
One-to-One: Each record in the first entity is associated with only one record in the second entity.
One-to-Many: Each record in the first entity can be associated with multiple records in the second entity.
Many-to-Many: Multiple records in the first entity can be associated with m
Having clause is used with aggregate functions while where clause is used to filter rows
Having clause is used with GROUP BY to filter groups based on conditions
Where clause is used to filter rows based on conditions
Having clause is applied after grouping while where clause is applied before grouping
Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000
Example: SELECT * FRO
Use SQL query with ORDER BY and LIMIT to find the 4th highest salary
Use ORDER BY clause to sort salaries in descending order
Use LIMIT 3,1 to skip the first 3 highest salaries and get the 4th highest salary
RLS stands for Row-Level Security, a feature in Power BI that restricts data access based on user roles.
RLS allows you to control which rows of data a user can access in a Power BI report or dashboard
You can define security roles and rules to filter data based on user attributes or roles
RLS helps in ensuring data privacy and compliance with regulations
For example, you can use RLS to restrict a sales manager to only see
Use SUMX function in DAX to calculate total sales of a product
Use SUMX function to iterate over each row in the sales table
Filter the table to include only the specific product
Sum up the sales amount for each row to get the total sales
posted on 22 Oct 2024
posted on 8 Apr 2022
Common data connectivity modes include DirectQuery, Import, Live Connection, and Composite models.
DirectQuery allows querying data directly from the data source in real-time.
Import mode imports data into Power BI for faster performance but may not reflect real-time data.
Live Connection connects Power BI to a data source without importing data.
Composite models combine DirectQuery and Import modes for flexibility.
Power BI components include Power Query, Power Pivot, Power View, and Power Map.
Power Query: Used for data extraction, transformation, and loading (ETL)
Power Pivot: Used for data modeling and analysis
Power View: Used for data visualization and interactive reports
Power Map: Used for geospatial data visualization
Power Query is used for data transformation and Power View is used for data visualization in Power BI.
Power Query is used to extract, transform, and load data from different sources.
Power View is used to create interactive visualizations and reports based on the transformed data.
Power Query is more focused on data preparation and cleaning, while Power View is focused on data visualization.
Power Query can be used to mer...
Relationship cardinality defines the number of instances of one entity that can be associated with the number of instances of another entity.
One-to-One: Each record in the first entity is associated with only one record in the second entity.
One-to-Many: Each record in the first entity can be associated with multiple records in the second entity.
Many-to-Many: Multiple records in the first entity can be associated with m
Having clause is used with aggregate functions while where clause is used to filter rows
Having clause is used with GROUP BY to filter groups based on conditions
Where clause is used to filter rows based on conditions
Having clause is applied after grouping while where clause is applied before grouping
Example: SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000
Example: SELECT * FRO
Use SQL query with ORDER BY and LIMIT to find the 4th highest salary
Use ORDER BY clause to sort salaries in descending order
Use LIMIT 3,1 to skip the first 3 highest salaries and get the 4th highest salary
RLS stands for Row-Level Security, a feature in Power BI that restricts data access based on user roles.
RLS allows you to control which rows of data a user can access in a Power BI report or dashboard
You can define security roles and rules to filter data based on user attributes or roles
RLS helps in ensuring data privacy and compliance with regulations
For example, you can use RLS to restrict a sales manager to only see
Use SUMX function in DAX to calculate total sales of a product
Use SUMX function to iterate over each row in the sales table
Filter the table to include only the specific product
Sum up the sales amount for each row to get the total sales
posted on 22 Oct 2024
posted on 8 Apr 2022
posted on 9 Mar 2022
I was interviewed before Mar 2021.
CI-CD pipeline best practices ensure faster and reliable software delivery.
Automate the entire pipeline
Use version control for code and configuration
Perform continuous testing and integration
Ensure security and compliance
Monitor and measure performance
Implement feedback loops for continuous improvement
I applied via Referral and was interviewed before Mar 2020. There were 3 interview rounds.
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