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DMC ETL Processes & Data Warehousing Flashcards

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  1. What does ETL stand for in data warehousing?

    Answer: Extract, Transform, Load

    ETL stands for Extract, Transform, Load — the three-phase process of pulling data from sources, reshaping it, and loading it into a target system.

  2. Which ETL phase is responsible for data cleaning and reformatting?

    Answer: Transform phase

    The Transform phase handles data cleaning, reformatting, deduplication, and applying business rules before loading into the target warehouse.

  3. What is a 'staging area' in an ETL process?

    Answer: A temporary storage area where data is held between extraction and loading

    A staging area is temporary storage where extracted data is held and preprocessed before being loaded into the final data warehouse.

  4. What is 'incremental loading' in ETL?

    Answer: Loading only new or changed records since the last ETL run

    Incremental loading updates the warehouse by processing only new or modified records since the last run, reducing processing time and resource usage.

  5. What is the primary purpose of data profiling in ETL?

    Answer: To analyze the content, quality, and structure of source data

    Data profiling analyzes source data to understand its content, quality, completeness, and structure before designing ETL transformation rules.

  6. What is 'data latency' in the context of an ETL pipeline?

    Answer: The delay between when data is generated in the source and when it is available in the warehouse

    Data latency is the time delay between when source data is created or updated and when that data becomes available for querying in the data warehouse.

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