Data warehousing working

5 examples of data warehouse
In general, data warehouses have large data volumes and large amounts of data redundancy with lots of repeating values.
This allows database compression to be very effective and enables very high data compression ratios (i.e. the ratio between the uncompressed size and compressed size)..

The Data warehouse works by collecting and organizing data into a comprehensive database. Once the data is collected, it is sorted into various tables depending

What is the difference between data analytics and data warehousing?

The concepts are interrelated but different

The process of data analytics begins once the process of data warehousing is completed

The need for a data warehouse has grown with time

Every organization, irrespective of its size, wants a data warehouse that provides a unified view of all its data

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Data warehousing working

5 examples of data warehouse

What is the difference between data analytics and data warehousing?