AWS re:Invent 2018: Effective Data Lakes: Challenges and Design Patterns (ANT316)
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AWS re:Invent 2018: Effective Data Lakes: Challenges and Design Patterns (ANT316)
Data lakes are emerging as the most common architecture built in data-driven organizations today. A data lake enables you to store unstructured, semi-structured, or fully-structured raw data as well as processed data for different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine ...
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