Remove Business Objectives Remove Machine Learning Remove Metadata Remove Structured Data
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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

A modern information lifecycle management approach Today’s ILM approach recognizes the enterprise value of all digitized and enriched assets , avoiding the habituated, narrow reliance ontraditional structured data. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

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

AWS Big Data

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Data governance Data governance is key to the success of a data hub reference architecture.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Then, you transform this data into a concise format. Data warehouses can provide a unified, consistent view of a vast amount of customer data for C360 use cases.

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Big Data Fabric Weaves Together Automation, Scalability, and Intelligence

Cloudera

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. Source: Cloudera.