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Part 1: A Survey of Analytics Engineering Work at Netflix

The Netflix TechBlog

This article is the first 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. Subsequent posts will detail examples of exciting analytic engineering domain applications and aspects of the technical craft.

Analytics 212
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New integrations announced at AWS re:Invent enhance cloud performance, security, and automation

Dynatrace

This year’s AWS re:Invent will showcase a suite of new AWS and Dynatrace integrations designed to enhance cloud performance, security, and automation. By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics.

AWS 298
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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. For modeling the shape of spend throughout each phase, we perform constrained optimization to fit a 3rd degree polynomial function.

Analytics 190
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How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

When I founded Dynatrace, I aimed to bridge the gap between IT performance and user experience. Using causal AI, we identified and resolved performance issues automatically. Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data.

Analytics 286
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Teradata Performance and Skew Prevention Tips

DZone

Understanding Teradata Data Distribution and Performance Optimization Teradata performance optimization and database tuning are crucial for modern enterprise data warehouses.

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New continuous compliance requirements drive the need to converge observability and security

Dynatrace

Leverage AI for proactive protection: AI and contextual analytics are game changers, automating the detection, prevention, and response to threats in real time. UMELT are kept cost-effectively in a massive parallel processing data lakehouse, enabling contextual analytics at petabyte scale, fast.

Analytics 289
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Unlock the power of contextual log analytics

Dynatrace

This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries. OpenPipeline ensures data security and privacy—data is collected and processed securely and compliantly, with high-performance filtering, masking, routing, and encryption—and contextualizes incoming data in real time.

Analytics 304