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Data Connections and Preparation Flashcards
| Front | Back |
| Difference between a join and a union | A join combines data horizontally (columns), whereas a union combines data vertically (rows). |
| How can null values be handled | Null values can be replaced, removed, or filled with appropriate data depending on the context. |
| How does a cross-join work | A cross-join creates combinations of every row in one table with every row in another. |
| What are null values | Null values represent missing or undefined data in a dataset. |
| What is a data connection | A data connection is a way to link and access data from a source such as a database or file. |
| What is a full outer join | A full outer join includes all rows from both tables, with nulls for any unmatched rows. |
| What is a left join | A left join includes all rows from the left table and the matching rows from the right table. |
| What is a primary key in a table | A unique identifier for each row in a table. |
| What is a union in data preparation | A union combines rows from two or more datasets. |
| What is an inner join | An inner join includes only rows that have matching values in both tables. |
| What is data blending | Data blending combines data from disparate sources without requiring direct relationships in the database. |
| What is data deduplication | The process of identifying and removing duplicate records from a dataset. |
| What is data preparation | The process of cleaning, transforming, and structuring data for analysis. |
| What is filtering in data preparation | The process of selecting specific data based on defined criteria. |
| What is pivoting in data preparation | Pivoting restructures data from rows into columns or vice versa to make data analysis easier. |
| What is the benefit of a union | Unions combine data from multiple tables into a single dataset, making analysis more comprehensive. |
| What is the purpose of joining data | To combine columns from two or more tables based on a related field. |
| What should you do before joining two tables | Ensure they have a common field or relationship that can connect the data accurately. |
| When do you use data blending | Use data blending when data sources cannot be joined directly or are stored in different systems. |
| Why is data cleaning important | To remove errors, inconsistencies, and unnecessary information that can affect analysis. |
Front
What is a data connection
Click the card to flip
Back
A data connection is a way to link and access data from a source such as a database or file.
Front
What is a full outer join
Back
A full outer join includes all rows from both tables, with nulls for any unmatched rows.
Front
How does a cross-join work
Back
A cross-join creates combinations of every row in one table with every row in another.
Front
What is filtering in data preparation
Back
The process of selecting specific data based on defined criteria.
Front
What is a union in data preparation
Back
A union combines rows from two or more datasets.
Front
What is data deduplication
Back
The process of identifying and removing duplicate records from a dataset.
Front
What is the purpose of joining data
Back
To combine columns from two or more tables based on a related field.
Front
What is data blending
Back
Data blending combines data from disparate sources without requiring direct relationships in the database.
Front
What is pivoting in data preparation
Back
Pivoting restructures data from rows into columns or vice versa to make data analysis easier.
Front
When do you use data blending
Back
Use data blending when data sources cannot be joined directly or are stored in different systems.
Front
Why is data cleaning important
Back
To remove errors, inconsistencies, and unnecessary information that can affect analysis.
Front
How can null values be handled
Back
Null values can be replaced, removed, or filled with appropriate data depending on the context.
Front
Difference between a join and a union
Back
A join combines data horizontally (columns), whereas a union combines data vertically (rows).
Front
What is data preparation
Back
The process of cleaning, transforming, and structuring data for analysis.
Front
What is the benefit of a union
Back
Unions combine data from multiple tables into a single dataset, making analysis more comprehensive.
Front
What should you do before joining two tables
Back
Ensure they have a common field or relationship that can connect the data accurately.
Front
What is an inner join
Back
An inner join includes only rows that have matching values in both tables.
Front
What is a primary key in a table
Back
A unique identifier for each row in a table.
Front
What are null values
Back
Null values represent missing or undefined data in a dataset.
Front
What is a left join
Back
A left join includes all rows from the left table and the matching rows from the right table.
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This deck focuses on understanding data connections, joins, unions, data blending, and basic techniques for data preparation.