Discover why your business needs to build a data warehouse. Learn about the use cases, approaches, tools & essential steps for DWH development.

What is Data Warehousing ? Compiled corporate information which has been obtained from operational system and external data sources is referred to as the data warehouse. Meaning of Data Warehouse The data warehouse acts like a storage place of information which can be accessed by various applications and shared by them. Though it is a warehouse, then also it contains information summary as shown in figure. Figure : A Data Warehousing System (Data warehousing concepts)

Data warehouse architecture is a complex information system that contains commutative and historical data from different sources. In other words, it is the structural representation of the concrete functional arrangement on which the enterprise data warehouse is constructed.

In today’s modern ecosystem, enterprises use distinct types of data warehouse tools to handle large data volumes and get quick insights. Modern data tools can store, centralize, and query large data volumes to aid the decision-making process across various departments. The best data warehousing tool helps large enterprises reserve pools of information in their database beyond terabytes.

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To streamline the data preparation process, we’ve begun to create data warehouses as an intermediary step.

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Our latest blog explores the key differences between Data Lake vs Data Warehouse. Dive into how they manage vast data types and their uses