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.
π· 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.
π· 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. |
π· 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. |
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