Which environment is designed to store raw records from diverse sources across a business, allowing flexible analytics with minimal transformations at ingestion?
A data lake is well-suited for storing unprocessed inputs from various systems and permits broad analytics.
A data mart focuses on a specific department, often storing structured summaries.
A transactional system handles day-to-day activities, not extensive analytics.
A data warehouse generally stores refined records for systematic reporting and analysis. The best choice is the one that holds raw information for wide-ranging analysis.
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What is the key difference between a Data Lake and a Data Warehouse?
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How are raw records ingested into a Data Lake?
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Why is minimal transformation applied when ingesting data into a Data Lake?