Traditionally data warehouses do not contain today's data.

They are usually loaded with data via an Extract, Transform and Load (ETL) process from operational systems on a periodic basis, often nightly, but sometimes even weekly. In any case, they are a window on the past.

With the ever-growing pace of business today, are these history-based analytical data sources providing the right insights when they are most needed?

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