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Microsoft Ignite 2023 guide: AI transformation and Microsoft Azure

Dynatrace

To keep up, organizations are making significant investments to harness this technology and unlock new opportunities to thrive in the era of AI with Microsoft Azure and adjacent technologies. As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure.

Azure 130
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321
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What Is a Workload in Cloud Computing

Scalegrid

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130
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Web Development Trends 2019

KeyCDN

It can be used to decouple your frontend from your backend and improve server efficiency. Major cloud providers like AWS, Microsoft Azure, and Google Cloud all support serverless services. GraphQL Replaces REST APIs Developed by Facebook, GraphQL is a query language that is quickly replacing REST APIs.

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Devops and the need for cloud based solutions

Testsigma

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Business Requirement.

DevOps 59
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Generative AI in the Enterprise

O'Reilly

While the source code and weights for the LLaMA models are available online, the LLaMA models don’t yet have a public API backed by Meta—although there appear to be several APIs developed by third parties, and both Google Cloud and Microsoft Azure offer Llama 2 as a service. The next most needed skill is operations for AI and ML (54%).