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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

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A data hub contains data at multiple levels of granularity and is often not integrated. It differs from a data lake by offering data that is pre-validated and standardized, allowing for simpler consumption by users. Data hubs and data lakes can coexist in an organization, complementing each other.

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Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge.

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Data Leaders Brief

How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

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