Every click creates more data.
Cloud computing rewrote the rules for collecting and storing business data. Artificial intelligence (AI) is poised to revolutionize data management again. Machine learning (ML) requires enormous volumes of data, and AI tools turn analytics content consumers into AI-enabled content producers. The gap between collecting data and deriving value from it has never been wider.
Too many organizations are tending digital graveyards—vast data repositories trapped in outdated architectures. Our data warehousing ebook explores the data systems modern businesses need to handle complex unstructured data alongside traditional structured data. This ebook covers needs assessment for data warehousing, explains common warehouse architecture models and schema, and includes a data warehouse implementation checklist as a starting point for successful data warehouse implementation.
