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Data Modeling and Transformation Techniques Flashcards
Microsoft Fabric Data Engineer Associate DP-700 Flashcards
Study our Data Modeling and Transformation Techniques flashcards for the Microsoft Fabric Data Engineer Associate DP-700 exam with 15+ flashcards. View as flashcards, a searchable table, or as a fun matching game.
| Front | Back |
| Aggregation | Technique to summarize data by grouping and calculating metrics |
| Data Transformation | Process of converting data from one format to another |
| Data Types | Categories that define the kind of data stored in database columns |
| Denormalization | Technique where normalized data is combined for improved query performance |
| Dimension Table | Table containing descriptive attributes related to measurements in fact tables |
| ELT | Extract, Load, Transform process that leverages database engine for transformations |
| ETL | Extract, Transform, Load process for transferring and transforming data |
| Fact Table | Table containing measures or metrics in a star or snowflake schema |
| Foreign Key | Column that creates a relationship between two tables |
| Joins | SQL operations used to combine data from two or more tables |
| Normalization | Process of organizing data to reduce redundancy and improve integrity |
| Primary Key | Unique identifier for a record in a database table |
| Schema | Blueprint of how database tables are organized and their relationships |
| Snowflake Schema | Normalized version of star schema with dimensions further expanded |
| Star Schema | Simplified database schema with fact table at the center and dimension tables connected |
About the Flashcards
Flashcards for the Microsoft Fabric Data Engineer Associate exam help you review essential database and data warehousing vocabulary and concepts. Each card focuses on core definitions like normalization, denormalization, schemas, keys, and data types so you can quickly recall precise terminology under exam pressure and build a dependable conceptual foundation.
The deck also reinforces practical design and processing topics such as star and snowflake schemas, fact and dimension tables, ETL and ELT workflows, data transformation and aggregation, and common SQL join operations. Use these concise prompts to test recall of both theoretical ideas and procedural steps often examined on the test.
Topics covered in this flashcard deck:
- Normalization & denormalization
- Primary and foreign keys
- Star and snowflake schemas
- ETL and ELT processes
- Data transformation & aggregation
- Joins and SQL operations