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Batch vs. Real-Time Processing: Understanding the Differences

DZone

The decision between batch and real-time processing is a critical one, shaping the design, architecture, and success of our data pipelines. Understanding the key distinctions between these two processing paradigms is crucial for organizations to make informed decisions and harness the full potential of their data.

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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Lower total cost of ownership with improved OneAgent and ActiveGate update process

Dynatrace

Definition of an update window with daily recurrence. Definition of update window with monthly recurrence. Definition of update window with weekly recurrence – please note the selection of days of the week. Definition of a OneAgent maintenance window with no recurrence (i.e., a one-off event). a one-off event).

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Image Processing Insights

KeyCDN

KeyCDN has significantly simplified the way images are transformed and delivered with our Image Processing service. Properly size images: Scaled images will definitely reduce the overall website size. Our Image Processing service makes it easy to do that. Enable the Image Processing setting.

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Ready-to-go sample data pipelines with Dataflow

The Netflix TechBlog

Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ???

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Maestro: Netflix’s Workflow Orchestrator

The Netflix TechBlog

A workflow definition is defined in a JSON format. Maestro combines user-supplied fields with those managed by Maestro to form a flexible and powerful orchestration definition. A Maestro workflow definition comprises two main sections: properties and versioned workflow including its metadata.

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