![]() With all your data in one place, it becomes simpler to perform analysis and reporting at different aggregate levels. What is Data Warehousing ?ĭata warehousing is a process used to collect and manage data from multiple sources into a centralized repository to drive actionable business insights. But before diving deeper into the concept, one should first know what Data Warehousing is. It has become quite easier to consolidate data from disparate systems and find a pattern out of it. All big data organizations have incorporated the best data integration tools and are working with platforms like DataChannel to drive useful insights from the big data silos. The data needs to be precisely integrated into a common platform, known as a data warehouse, where it can be transformed to drive meaningful information. Unlike earlier days, data comes in various forms and from different platforms or sources. More tools and technologies will be introduced in the future to take care of our growing data needs. We live in a world where technology has overtaken most of the organizational processes, including data integration. Different departments across an organization can use it for business intelligence, analytics, reporting, and decision-making purposes. This data needs to be integrated and stored in a shared platform. If you have ever worked or are working in a data-driven organization, you must have realized that large volumes of data are generated daily in organizational systems.
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