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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

That’s why teams need a modern observability approach with artificial intelligence at its core. State and local governments can prevent outages to improve citizens’ digital experiences Traditional cloud monitoring methods can no longer scale to meet agencies’ demands, as multicloud architectures continue to expand.

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Causal AI use cases for modern observability that can transform any business

Dynatrace

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Government. Government agencies can learn from cause-and-effect relationships to make more evidence-based policy decisions. Further, not every business uses AI in the same way or for the same reasons.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This is simply not possible with conventional architectures. Disadvantages.

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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

Across the cloud operations lifecycle, especially in organizations operating at enterprise scale, the sheer volume of cloud-native services and dynamic architectures generate a massive amount of data. Causal AI is an artificial intelligence technique used to determine the precise underlying causes and effects of events. Using

AWS 277
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

But only 21% said their organizations have established policies governing employees’ use of generative AI technologies. Additionally, blind spots in cloud architecture are making it increasingly difficult for organizations to balance application performance with a robust security posture. What is generative AI?

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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

Explainable AI is an aspect of artificial intelligence that aims to make AI more transparent and understandable, resulting in greater trust and confidence from the teams benefitting from the AI. As more AI-powered technologies are developed and adopted, more government and industry regulations will be enacted.