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A data warehouse in the cloud represents a massive center of gravity for the rest of the enterprise. Applications connected to the data warehouse will simply follow to the same cloud over time.
Though the cloud is defined as the next frontier in the data warehousing space, it is important to consider what works best for your organization when choosing how to implement a data warehouse.
Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes.
The data warehouse is used as a single source of truth for an organization's data. But before you choose a data warehouse vendor, there are some things to consider, including your business needs.
In effect, database virtualization makes a cloud data warehouse like Azure Synapse behave exactly like a Teradata or Oracle system. This is quite different from data virtualization.
The last five years have seen the rise of the cloud data warehouse. What will the next five years bring?
Data warehouse provider Yellowbrick Data Inc. announced an updated version of its cloud platform today, saying it can scale more effectively as customer’s data needs grow. It’s also ...
At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...
The cloud data warehouse market is crowded and competitive Before getting into Oracle's announcement, it's worth setting some context.
Has the traditional data warehouse finally reached the end of its life? If so, what will follow it? Will it be a hybrid? We find out.
In the wave of digitalization, cloud warehouses are constructing virtual mapping systems for live e-commerce through digital ...
Cloud data warehouse startup Firebolt Analytics Inc. hit unicorn status with a $1.4 billion valuation today after closing on a $100 million round of funding. The Series C round, which brings ...
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