Do not copy from other websitesUpvote guarenteed for a correct and detailed answer. Thank you!!! The difference between a data lake and a data warehouse is:Data warehouses typically contain live production data. Data lakes contain acopy of the production data.Data lakes store data in 'raw' form (i.e. the original form). Data warehousestypically store data that has been extracted, transformed and loaded (ETL) forpurposes of performing analysis.Data warehouses contain data from multiple sources and data lakes collect datafrom only a single source.Data lakes and data warehouses are the same. The terms are usedinterchangeably.

Explanation A data warehouse will store data collected from transactional systems or data…

The difference between a data lake and a data warehouse Data warehouses typically contain live production dat copy of the production data. Data lakes store data in 'raw' form (i.e. the original for typically store data that has been extracted, transform of Berforming anakvsie

The difference between a data lake and a data warehouse Data warehouses typically contain live production dat copy of the production data. Data lakes store data in 'raw' form (i.e. the original for typically store data that has been extracted, transform of Berforming anakvsie

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

Problem 1PE

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Concept explainers

Fundamentals of distributed DBMS

A software with a centralized system that handles the distributed database in such a way that all are stored in a single site is known as a database management system (DBMS). The idea of the distributed database system is the centralized database, the data is spread out on a distributed network among the cities each having its computer and data storage facilities. This distributed data management is considered a single logical database.

Question

Do not copy from other websites

Upvote guarenteed for a correct and detailed answer. Thank you!!!

The difference between a data lake and a data warehouse is:
Data warehouses typically contain live production data. Data lakes contain a
copy of the production data.
Data lakes store data in 'raw' form (i.e. the original form). Data warehouses
typically store data that has been extracted, transformed and loaded (ETL) for
purposes of performing analysis.
Data warehouses contain data from multiple sources and data lakes collect data
from only a single source.
Data lakes and data warehouses are the same. The terms are used
interchangeably.

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