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Kubernetes in the wild report 2023

Dynatrace

Through effortless provisioning, a larger number of small hosts provide a cost-effective and scalable platform. Accordingly, for classic database use cases, organizations use a variety of relational databases and document stores. The different infrastructure setup reflects economic and technical considerations.

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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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AI Powered Misinformation and Manipulation at Scale #GPT-3

O'Reilly

The valuation of crypto today is consequential to financial markets and the net worth of retail and institutional investors. The merge, expected to occur at the end of 2021, is intended to make Ethereum more scalable and sustainable. Furthermore, GPT-3 says, “I made good money on ETH and moved on to better things. Prompt Engineering.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures. With the extent of observability data going beyond human capacity to manage, Grail is the first purpose-built causational data lakehouse that allows for immediate answers with cost-efficient, scalable storage.

Analytics 188
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What is real user monitoring (RUM)?

Dynatrace

However, only highly scalable real user monitoring solutions can collect data on all user actions, while less scalable tools have to sample user actions and make inferences from partial data. Some examples include: Monitoring a retailer’s online catalog to detect any increase in page load times.