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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

By automating OneAgent deployment at the image creation stage, organizations can immediately equip every EC2 instance with real-time monitoring and AI-powered analytics. Stay tuned for more exciting updates as we continue to expand our collaboration with AWS and help our customers unlock new possibilities in the cloud.

AWS 298
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Unlock log analytics: Seamless insights without writing queries

Dynatrace

Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. Log analytics simplified: Deeper insights, no DQL required Your team will immediately notice the streamlined log analysis capabilities below the histogram. This context is vital to understanding issues.

Analytics 267
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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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Why log monitoring and log analytics matter in a hyperscale world

Dynatrace

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264
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Analytics at Netflix: Who we are and what we do

The Netflix TechBlog

Analytics at Netflix: Who We Are and What We Do An Introduction to Analytics and Visualization Engineering at Netflix by Molly Jackman & Meghana Reddy Explained: Season 1 (Photo Credit: Netflix) Across nearly every industry, there is recognition that data analytics is key to driving informed business decision-making.

Analytics 243
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Introducing Impressions at Netflix

The Netflix TechBlog

Analytical Insights Additionally, impression history offers insightful information for addressing a number of platform-related analytics queries. Automating Performance Tuning with Autoscalers Tuning the performance of our Apache Flink jobs is currently a manual process.

Tuning 166