Discuss the role of data warehouses and data lakes in modern data management, including their architecture and use cases.
Discuss the role of data warehouses and data lakes in modern data management, including their architecture and use cases.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Discuss the role of data warehouses and data lakes in modern data management, including their architecture and use cases.
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Step 1: Introduction to data warehouses and data lakes
Data warehouses and data lakes are two fundamental concepts in modern data management and analytics. They serve as repositories for storing and managing data, but they have distinct characteristics, use cases, and architectures.
A data lake is a storage repository that can store vast amounts of raw, semi-structured, or unstructured data. It allows for flexible data ingestion and is designed to support various data types and analytics, including big data and machine learning.
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