Modern enterprises want to become data-driven and leverage information in their systems to power business intelligence initiatives. That’s where a data warehouse comes in. It serves as a centralized repository that aggregates data from different sources for analytics and decision support.
With stiff business competition nowadays, companies are looking beyond traditional waterfall- style development approaches with their sequential deliverables and long-term deadlines towards a faster, more iterative data warehousing process.
This eBook serves as the essential toolkit for automated data warehousing. It delves into all the critical aspects of data warehouse automation (DWA), including data modeling and data pipelining, and suggests how to effectively consume data from the data warehouse for reporting, visualization, and analytics with a streamlined, end-to-end approach.
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