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cloud data warehouses

Last updated May 21, 2025, generated by Sumble

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What is cloud data warehouses?

Cloud data warehouses are database systems designed for analytical querying and reporting on large volumes of data. They are hosted on cloud infrastructure, offering scalability, cost-effectiveness, and ease of management. Commonly used for business intelligence, data analysis, and reporting, they aggregate data from various sources into a central repository, enabling users to gain insights and make data-driven decisions. Popular examples include Amazon Redshift, Google BigQuery, and Snowflake.

Find 106 organizations using cloud data warehouses on Sumble →

What other technologies are related to cloud data warehouses?

cloud data warehouses Complementary Technologies

Python is frequently used for data engineering, ETL processes, and data analysis workflows that interact with cloud data warehouses. It provides libraries and tools to facilitate data manipulation, transformation, and loading into these warehouses.

AWS provides several cloud data warehouse solutions, such as Amazon Redshift. More broadly, AWS provides the cloud infrastructure and supporting services around those data warehouses, making it strongly complementary.

SQL (Structured Query Language) is the standard language for querying and manipulating data within data warehouses. It's essential for interacting with and extracting insights from the data stored in these systems.

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cloud data warehouses

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Which job functions commonly mention cloud data warehouses?

Analytics Engineer

5 Analytics Engineer jobs mention cloud data warehouses

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8 Data Architect jobs mention cloud data warehouses

View 8 jobs on Sumble

25 Data Engineer jobs mention cloud data warehouses

View 25 jobs on Sumble

Solutions Architect

11 Solutions Architect jobs mention cloud data warehouses

View 11 jobs on Sumble

Data, Analytics & Machine Learning

39 Data, Analytics & Machine Learning jobs mention cloud data warehouses

View 39 jobs on Sumble

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