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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Open Source. Major Use Cases.

Big Data 321
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Web Development Trends in 2023

KeyCDN

Source: web.dev 2. Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications.

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What is observability? Not just logs, metrics and traces

Dynatrace

In these modern environments, every hardware, software, and cloud infrastructure component and every container, open-source tool, and microservice generates records of every activity. Observability is also a critical capability of artificial intelligence for IT operations (AIOps).

Metrics 363
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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

Having recently achieved AWS Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category for its use of the AWS platform, Dynatrace has demonstrated success building AI-powered solutions on AWS. But teams need automatic and intelligent observability to realize true AIOps value at scale.

AWS 235
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Microsoft Azure Managed Lustre for HPC and AI Workloads Now Generally Available

InfoQ

Microsoft recently announced the general availability (GA) of Azure Managed Lustre, a managed file system for high-performance computing (HPC) and AI workloads. By Steef-Jan Wiggers

Azure 40
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What is APM?

Dynatrace

Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Digital teams use APM tools to view and address the many variables that can impact an application’s performance.

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Generative AI in the Enterprise

O'Reilly

16% of respondents working with AI are using open source models. Many of the new open source models are much smaller and not as resource intensive but still deliver good results (especially when trained for a specific application). Open source models are a large and diverse group.