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Data Mining Problems in Retail

Highly Scalable

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. However, many of these models are highly parametric (i.e.

Retail 152
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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. Fast, precise answers.

Analytics 196
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Kubernetes in the wild report 2023

Dynatrace

In general, metrics collectors and providers are most common, followed by log and tracing projects. Accordingly, for classic database use cases, organizations use a variety of relational databases and document stores. Across all categories in the Kubernetes survey, open source projects rank among the most frequently used solutions.

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Quality Begins Where the User Journey Ends

Apica

Along with that primary workflow of on-screen requests and responses, the journey also includes metrics that are directly experienced by users, such as response times, the frequency of interruptions, visual consistency, and accurate results. Distracted by distributed, dynamic architectures. Metrics and observability data hoarding.

Retail 52
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Creating A Magento PWA: Customizing Themes vs. Coding From Scratch

Smashing Magazine

Some of the names include Amazon’s Luna, TikTok, Tinder, among many online retailers. Moreover, Garten-und-Freizeit, a German e-commerce store that sells furniture, saw an amazing improvement in their metrics after getting a PWA. The separation of monolithic architecture (making it headless) brings many perks. Large preview ).

Code 74
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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

Let's take an example of retail as a domain of interest. One way to create a Spotify model inspired engineering organisation is to organise long-lived squads by retail business process hubs - i.e. specialisation around business process. It is one of the ways you can organise your engineering teams in a retail environment.