Cloud data warehousing

 Cloud Data Warehousing refers to the use of cloud-based infrastructure and services to store, manage, and analyze large volumes of data, typically for business intelligence (BI) and analytics purposes.

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🔷 What Is a Cloud Data Warehouse?

A cloud data warehouse is a centralized repository hosted on a cloud platform that allows organizations to store structured and semi-structured data for reporting and analytics. It replaces traditional on-premises data warehouses and provides benefits like scalability, flexibility, and cost-efficiency.

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🔷 Key Features

Feature	Description
Scalability	Instantly scale compute and storage resources up or down.
Separation of compute and storage	Pay separately for processing power and storage.
Managed service	No need to maintain hardware or manually manage updates.
Concurrency	Handle many simultaneous queries without performance loss.
Security	Includes encryption, access controls, and compliance support.
Data integration	Connect easily with ETL/ELT tools and cloud-native services.

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🔷 Popular Cloud Data Warehousing Solutions

Platform	Description
Snowflake	Multi-cloud, separates compute/storage, high concurrency.
Amazon Redshift	Fully managed, tightly integrated with AWS.
Google BigQuery	Serverless, petabyte-scale, SQL-based.
Azure Synapse Analytics	Integrates data warehousing and big data with Azure tools.
Databricks (Delta Lake)	Lakehouse architecture, more ML/AI focus.