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

Dynatrace

The rise of cloud-native microservice architectures further exacerbates this change. 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).

Retail 242
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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. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
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Causal AI use cases for modern observability that can transform any business

Dynatrace

Retailers can analyze how factors such as demand, competition, and market trends affect pricing. Data lakehouses combine a data lake’s flexible storage with a data warehouse’s fast performance. Algorithms can mine customer behavioral data to understand the underlying factors driving purchasing decisions.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Seamless integration.

Analytics 192
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Kubernetes in the wild report 2023

Dynatrace

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Specifically, they provide asynchronous communications within microservices architectures and high-throughput distributed systems. Databases : Among databases, Redis is the most used at 60%.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Consider a retail chain of stores or restaurants with tens of thousands of outlets. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. Walgreens has more than 9,000, and McDonald’s has more than 14,000 in the U.S.

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The Next Generation in Logistics Tracking with Real-Time Digital Twins

ScaleOut Software

Consider a retail chain of stores or restaurants with tens of thousands of outlets. In addition, the platform provides fast, in-memory data storage so that the application can easily and quickly record both telemetry and analytics results for each store. Walgreens has more than 9,000, and McDonald’s has more than 14,000 in the U.S.