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Rebuilding Netflix Video Processing Pipeline with Microservices

Netflix Tech

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. By integrating with studio content systems, we enabled the pipeline to leverage rich metadata from the creative side and create more engaging member experiences like interactive storytelling.

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Wizeline and Ascend.io Join Forces to Unleash AI-Powered Data Automation

Ascend.io

” Key Partnership Benefits: Cost Optimization and Efficiency : The collaboration is poised to reduce IT and data management costs significantly, including an up to 68% reduction in data stack spend and the ability to build data pipelines 7.5x Discover how Wizeline’s AI-centric approach can revolutionize your business at wizeline.com.

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LiveRamp Customers Build ‘Foundation of Identity’ With Snowflake Native Apps

Snowflake

Cross Screen Media has seen this benefit firsthand. Sometimes they need feedback on touchpoints very quickly, while other pipelines don’t need as much acceleration. Acadia, a digital media agency, wanted to accelerate end-to-end pipeline for its clients while also enhancing security for clients’ PII.

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CircleCI’s unnoticed holiday security breach

The Pragmatic Engineer

The first response has been frustration because of the chaos a breach like this causes: At a scaleup I talked with, infrastructure teams shut down all pipelines in order to replace secrets. Our customers are some of the most innovative, engineering-centric businesses on the planet, and helping them do great work will continue to be our focus.”

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How to Become a Data Engineer in 2024?

Knowledge Hut

Data Engineering is typically a software engineering role that focuses deeply on data – namely, data workflows, data pipelines, and the ETL (Extract, Transform, Load) process. It comes from numerous sources ranging from surveys, social media platforms, e-commerce websites, browsing searches, etc. What is the role of a Data Engineer?

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?Data Engineer vs Machine Learning Engineer: What to Choose?

Knowledge Hut

In addition, they are responsible for developing pipelines that turn raw data into formats that data consumers can use easily. Facial reorganization, social media optimization, etc. Database-Centric Engineer: The implementation, upkeep, and populating of analytics databases are the responsibilities of a Database-Centric Engineer.

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Serverless Data Pipelines On DataCoral

Data Engineering Podcast

Summary How much time do you spend maintaining your data pipeline? We have partnered with organizations such as O’Reilly Media, Dataversity, and the Open Data Science Conference. How does the data-centric approach of DataCoral differ from the way that other platforms think about processing information?