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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. Polymorphic Data Storage. Greenplum Advantages.

Big Data 321
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

It enables multiple operating systems to run simultaneously on the same physical hardware and integrates closely with Windows-hosted services. Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult.

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Building Resiliency With Effective Error Management

DZone

Hardware - servers/storage hardware/software faults such as disk failure, disk full, other hardware failures, servers running out of allocated resources, server software behaving abnormally, intra DC network connectivity issues, etc. Redundancy in power, network, cooling systems, and possibly everything else relevant.

Hardware 243
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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

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Process more with less using smarter cluster overload prevention for Dynatrace Managed

Dynatrace

A Dynatrace Managed cluster may lack the necessary hardware to process all the additional incoming data. This means that you’ll receive better answers from Dynatrace Davis and capture even more high-fidelity data as your hardware will be used optimally based on the newly improved ALR algorithm. Impact on disk space.

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Remote Workstations for the Discerning Artists

The Netflix TechBlog

They need specialized hardware, access to petabytes of images, and digital content creation applications with controlled licenses. They could need a GPU when doing graphics-intensive work or extra large storage to handle file management. An API in conjunction with variables in the pipeline creates Workstation pools programmatically.