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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. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. 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

With extensive computational resources at their disposal alongside massive pools of information, developers can utilize these powerful tools to train ML models efficiently or run AI algorithms effectively by accessing stored datasets from anywhere through the internet connection provided by most reputable providers’ hosting services.

Cloud 130
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Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure

The Morning Paper

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., This paper describes Gandalf, the software deployment monitor in production at Microsoft Azure for the past eighteen months plus. In Azure, most catastrophic issues happen within 1 hour after the rollout.

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

Dynatrace

Unlike traditional machine-learning models that require extensive, time-consuming training, Dynatrace’s causal AI pinpoints normal and anomalous behavior in context in real time. Dynatrace extends contextual analytics and AIOps for open observability. The need for speed has never been more urgent in today’s hyper-digital age.

AWS 219
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Experiences with approximating queries in Microsoft’s production big-data clusters

The Morning Paper

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. In total, the clusters store a few exabytes of data and are primarily responsible for all of the batch analytics at Microsoft. VLDB’19. Approximate query support.

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How enterprises can successfully scale Agile development

Tasktop

Clever Value Stream Architecture designs for speed, visibility and traceability and it relies on APIs and abstraction. Here are some examples: • Incidents created in ServiceNow are automatically synchronized to Azure DevOps as bugs. Features created in VersionOne synchronize over to another team working in CA Agile Central (Rally).

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Generative AI in the Enterprise

O'Reilly

Training models and developing complex applications on top of those models is becoming easier. 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). report that the difficulty of training a model is a problem.