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Part 2: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the second in a multi-part series sharing a breadth of Analytics Engineering work at Netflix, recently presented as part of our annual internal Analytics Engineering conference. With ASR, and other new and enhanced technologies we introduce, rigorous analytics and measurement are essential to their success.

Analytics 187
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Microsoft Ignite 2024 guide: Cloud observability for AI transformation

Dynatrace

However, data overload and skills shortages present challenges that companies need to address to maximize the benefits of cloud and AI technologies. The Dynatrace and Microsoft partnership provides innovative solutions that enhance customer experience, improve efficiency, and generate considerable savings.

Cloud 263
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AI techniques enhance and accelerate exploratory data analytics

Dynatrace

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Notebooks] is purposely built to focus on data analytics,” Zahrer said. “We

Analytics 246
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Next-level interaction and customization of data visualizations in Dynatrace Dashboards and Notebooks

Dynatrace

Good visualizations are not just static, unintelligent data presentations; they enable interaction and ideally serve as a starting point for subsequent analysis. If you want your data to speak to its audience, you need a comprehensive toolkit of visualizations and customization options.

Latency 246
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 246
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Enhancing Azure data analytics and Azure observability with Dynatrace Grail

Dynatrace

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 245
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What is log analytics? How a modern observability approach provides critical business insight

Dynatrace

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 245