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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. Each format has a different production process and different patterns of cash spend, called our Content Forecast. Need to catch up?

Analytics 187
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Business process observability: An IT solution to a business challenge

Dynatrace

Business processes support virtually all aspects of an organizations operations. Theyre often categorized by their function; core processes directly create customer value, support processes increase departmental efficiency, and management processes drive strategic goals and compliance.

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OpenPipeline: Simplify access to critical business data

Dynatrace

Metadata enrichment improves collaboration and increases analytic value. The Dynatrace® platform continues to increase the value of your data — broadening and simplifying real-time access, enriching context, and delivering insightful, AI-augmented analytics. Our Business Analytics solution is a prominent beneficiary of this commitment.

Analytics 241
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How executives reveal breakthrough insights into customer experiences with Dynatrace to accelerate business growth

Dynatrace

Key insights for executives: Optimize customer experiences through end-to-end contextual analytics from observability, user behavior, and business data. Consolidate real-user monitoring, synthetic monitoring, session replay, observability, and business process analytics tools into a unified platform. Google or Adobe Analytics).

Analytics 286
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What is security analytics?

Dynatrace

As a result, organizations are implementing security analytics to manage risk and improve DevSecOps efficiency. Fortunately, CISOs can use security analytics to improve visibility of complex environments and enable proactive protection. What is security analytics? Why is security analytics important? Here’s how.

Analytics 264
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Real-Time Analytics

DZone

To keep up, we require real-time analytics (RTA), which provides the immediacy that every user of data today expects and is based on stream processing. Stream processing is used to query a continuous stream of data and immediately process events in that stream.

Analytics 298
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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. How logs are ingested Dynatrace offers OpenPipeline to ingest, process, and persist any data from any source at any scale. Advanced analytics are not limited to use-case-specific apps.

Analytics 304