Data gravity occurs when the volume of data in a warehouse increases and the number of uses also increases. In some cases, copying or moving data can be troublesome and expensive. Therefore, data tends to pull services, applications and other data into its warehouse. Primary examples of data gravity are data warehouses and data lakes. Data in these systems is inert. Scalable volumes of data often break existing infrastructure and processes, requiring risky and expensive fixes. Therefore, the best practice is to move design processing to data, not the other way around.
Customer experience, by definition, refers to all interactions between a brand and that brand's customers.
Product lifecycle management refers to the examination of a product as it goes through certain stages of its lifecycle.
Cascading is a platform for developing big data applications on Hadoop.
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