Remove Data Collection Remove Systems Remove Utilities
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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

The name comes from the concept of “spare cores:” machines currently unused, which can be reclaimed at any time, that cloud providers tend to offer at a steep discount to keep server utilization high. Storing data: data collected is stored to allow for historical comparisons. Source: Spare Cores. Tech stack.

Cloud 314
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Mobile Data Collection And Analysis Using Ona And Canopy With Peter Lubell-Doughtie - Episode 41

Data Engineering Podcast

Summary With the attention being paid to the systems that power large volumes of high velocity data it is easy to forget about the value of data collection at human scales. What are some of the integration challenges that are unique to the types of data that get collected by mobile field workers?

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Introducing Impressions at Netflix

Netflix Tech

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. This nuanced integration of data and technology empowers us to offer bespoke content recommendations. This leads to a lot of false positives that require manual judgement.

Kafka 66
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Optimizing Demand Forecasting in the Utility Industry with GenAI

RandomTrees

In the utility sector, demand forecasting is crucial for customer satisfaction with energy services, ensuring the efficiency of operations and using the funds in a correct manner. This article explains the phenomena of GenAi in utilities: how it improves the processes of energy forecasting, operations, and decision-making.

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Building Holiday Finds: How Pinterest Engineers Reimagined Gift Discovery

Pinterest Engineering

Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

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What Is Data Collection? Methods, Types, Tools, and Techniques

U-Next

The primary goal of data collection is to gather high-quality information that aims to provide responses to all of the open-ended questions. Businesses and management can obtain high-quality information by collecting data that is necessary for making educated decisions. . What is Data Collection?

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Recommender Systems: Behind the Scenes of Machine-Learning-Based Personalization

AltexSoft

You’ll learn about the types of recommender systems, their differences, strengths, weaknesses, and real-life examples. Personalization and recommender systems in a nutshell. At the same time, the continuous growth of available data has led to information overload — when there are too many choices, complicating decision-making.