The future of data warehousing

While data has influenced major business decisions throughout the ages, the term “data warehouse” isn’t even half a century old. But it’s an important concept; by centralizing data from many disparate sources, analysts can make more informed decisions. Traditionally, this has meant collecting data in on-premises infrastructure. But as data volumes have grown, these legacy systems have not been able to keep up with changing demands: They are difficult to scale, offer no support for machine learning and artificial intelligence initiatives, and are simply too expensive to maintain.

With increased advances in technology, the introduction of more cost-effective compute and storage options have changed the data warehouse landscape. Now more than ever, businesses need an agile and efficient analytics infrastructure that allows them to derive insights at a fraction of the cost of legacy systems. Modern data warehouses can give organizations the competitive edge, offering customers fast and easy access to business intelligence while seamlessly scaling to meet increased demands.

In this ebook, based on the keynote presentation featuring Forrester Analyst Michele Goetz at the 2019 Future of Your Data Warehouse digital conference, we’ll look at the evolution of data warehousing and how a cloud infrastructure can offer immense benefits for the future.

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