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DWH

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**DWH**

What is DWH?

DWH stands for Data Warehouse. It is a central repository of integrated data from one or more disparate sources. Data warehouses store current and historical data in one single place that are used for creating analytical reports for workers throughout the enterprise. The data stored in the warehouse is typically uploaded from the operational systems such as marketing, sales, and accounting. It goes through data cleansing, transformation, and cataloging before being stored in the data warehouse. Data warehouses are commonly used for business intelligence and analytics to facilitate decision-making.

What other technologies are related to DWH?

DWH Competitor Technologies

Datalake
Data lakes provide an alternative approach to data storage and analysis, often used for unstructured or semi-structured data. They offer flexibility and scalability that can make them a substitute for a DWH in some scenarios.
Data Lake
Data lakes provide an alternative approach to data storage and analysis, often used for unstructured or semi-structured data. They offer flexibility and scalability that can make them a substitute for a DWH in some scenarios.
CDP
Customer Data Platforms (CDPs) unify customer data from various sources to provide a single customer view, competing with DWH for certain use cases like customer analytics and marketing.
Snowflake
Snowflake is a cloud-based data warehousing platform. It directly competes with other DWH solutions and can be selected as an alternative to a traditional on-premise DWH.
Databricks
Databricks provides a unified platform for data engineering, data science, and machine learning, and it can be used as a data lakehouse, which is an alternative to a traditional DWH.
Lakehouse
A Lakehouse architecture combines the benefits of both data lakes and data warehouses, providing a more flexible and scalable approach to data storage and analysis and might be seen as a competitor.
AWS Redshift
Amazon Redshift is a cloud-based data warehouse service, thus a direct competitor to other DWH solutions.
Data Lakes
Data lakes provide an alternative approach to data storage and analysis, often used for unstructured or semi-structured data. They offer flexibility and scalability that can make them a substitute for a DWH in some scenarios.
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