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

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Consumption This pillar consists of various consumption channels for enterprise analytical needs.

Analytics 72
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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

JULY 6, 2021

Customer purchase patterns, supply chain, inventory, and logistics represent just a few domains where we see new and emergent behaviors, responses, and outcomes represented in our data and in our predictive models. The key difference is this: monitoring is what you do, and observability is why you do it.

Data-driven 279
Data-driven Machine Learning IoT Deep Learning 279
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