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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Dynatrace has developed the purpose-built data lakehouse, Grail , eliminating the need for separate management of indexes and storage. All data is readily accessible without storage tiers, such as costly solid-state drives (SSDs). No storage tiers, no archiving or retrieval from archives, and no indexing or reindexing.

Retail 242
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Cold storage and rehydration. Peak performance analysis.

Analytics 220
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

As companies migrate their infrastructure and development workloads to the cloud, there are numerous use cases for log analytics. Consider the following ways teams can apply log analytics to on-premises and multicloud infrastructures: Application deployment verification. Cold storage and rehydration. Peak performance analysis.

Analytics 186
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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. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. What Exactly is Greenplum? Major Use Cases.

Big Data 321
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How digital experience monitoring helps deliver business observability

Dynatrace

Gartner estimates that by 2025, 70% of digital business initiatives will require infrastructure and operations (I&O) leaders to include digital experience metrics in their business reporting. With DEM solutions, organizations can operate over on-premise network infrastructure or private or public cloud SaaS or IaaS offerings.

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The Future in Visual Computing: Research Challenges

ACM Sigarch

cameras) in many usages ranging from digital security/surveillance and automated retail (e.g. Orchestrate the processing flow across an end-to-end infrastructure. The tremendous growth in visual computing is fueled by the rapid increase in deployment of visual sensing (e.g. interactive AR/VR, gaming and critical decision making).

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How to Easily Deploy an IMDG in the Cloud

ScaleOut Software

Cloud-based applications enjoy the unique elasticity that cloud infrastructures provide. They also offer a powerful computing platform for analyzing live data as it changes and generating immediate feedback or “operational intelligence;” for example, see this blog post describing the use of real-time analytics in a retail application.

Cloud 40