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Data governance in the age of generative AI

AWS Big Data

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

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Build an Amazon Redshift data warehouse using an Amazon DynamoDB single-table design

AWS Big Data

Nonetheless, many of the same customers using DynamoDB would also like to be able to perform aggregations and ad hoc queries against their data to measure important KPIs that are pertinent to their business. A typical ask for this data may be to identify sales trends as well as sales growth on a yearly, monthly, or even daily basis.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

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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. A data hub contains data at multiple levels of granularity and is often not integrated.

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

AWS Big Data

You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. Strategize based on how your teams explore data, run analyses, wrangle data for downstream requirements, and visualize data at different levels.

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Building Robust Data Pipelines: 9 Fundamentals and Best Practices to Follow

Alation

Data Pipeline Use Cases Here are just a few examples of the goals you can achieve with a robust data pipeline: Data Prep for Visualization Data pipelines can facilitate easier data visualization by gathering and transforming the necessary data into a usable state.

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Business Intelligence Dashboard (BI Dashboard): Best Practices and Examples

FineReport

Every user can now create interactive reports and utilize data visualization to disseminate knowledge to both internal and external stakeholders. A business intelligence dashboard, also known as a BI dashboard, is a tool that presents important business metrics and data points in a visual and analytical format on a single screen.