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Understanding Lazy Evaluation in Java Streams

DZone

Java Streams , introduced in Java 8, have revolutionized how we handle collections of data in Java. This article delves into what lazy evaluation means in the context of Java Streams and why it's beneficial, accompanied by practical examples.

Java 208
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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

Ruchir Jha , Brian Harrington , Yingwu Zhao TL;DR Streaming alert evaluation scales much better than the traditional approach of polling time-series databases. Hence, we started down the path of alert evaluation via real-time streaming metrics. Certain operators such as offset , integral , des are not supported on the streaming path.

Storage 288
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Event Streams Are Nothing Without Action

DZone

Event Streams are described as a continuous flow of events or data points. Event Streams are sometimes referred to as Data Streams within the developer community since they consist of continuous data points. Event Stream Processing refers to the action taken on generated Events.

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WebRTC vs. RTSP: Understanding the IoT Video Streaming Protocols

DZone

At the moment, there is a constantly increasing number of smart video cameras collecting and streaming video throughout the world. Of course, many of those cameras are used for security. In fact, the global video surveillance market is expected to reach $83 billion in the next five years.

IoT 240
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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

We were, however, missing the systematic ability to measure perceptual quality ( VMAF ) of HDR streams since VMAF was limited to standard dynamic range (SDR) video signals. The arrival of HDR-VMAF allowed us to create HDR streams with DO applied, i.e., HDR-DO encodes. Krasula, A. Choudhury, S.

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Batch Processing vs. Stream Processing: Why Batch Is Dying and Streaming Takes Over

DZone

One of the most important decisions organizations make when it comes to data processing is whether to use stream or batch processing. Stream processing is quickly becoming the go-to option for many companies because of its ability to provide real-time insights and immediately actionable results. Let’s recap some of the basics first.

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Machine Learning for Fraud Detection in Streaming Services

The Netflix TechBlog

By Soheil Esmaeilzadeh , Negin Salajegheh , Amir Ziai , Jeff Boote Introduction Streaming services serve content to millions of users all over the world. These services allow users to stream or download content across a broad category of devices including mobile phones, laptops, and televisions.

C++ 312