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Modern Data Engineering with MAGE: Empowering Efficient Data Processing

Analytics Vidhya

Introduction In today’s data-driven world, organizations across industries are dealing with massive volumes of data, complex pipelines, and the need for efficient data processing.

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Most Essential 2023 Interview Questions on Data Engineering

Analytics Vidhya

Introduction Data engineering is the field of study that deals with the design, construction, deployment, and maintenance of data processing systems. This includes designing and implementing […] The post Most Essential 2023 Interview Questions on Data Engineering appeared first on Analytics Vidhya.

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How to learn data engineering

Christophe Blefari

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. Who are the data engineers?

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Our First Netflix Data Engineering Summit

Netflix Tech

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community! In this video, Sr. In this video, Sr.

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5 Real-Time Data Processing and Analytics Technologies – And Where You Can Implement Them

Seattle Data Guy

Real-time data processing can satisfy the ever-increasing demand for… Read more The post 5 Real-Time Data Processing and Analytics Technologies – And Where You Can Implement Them appeared first on Seattle Data Guy.

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Data Engineering Weekly #156

Data Engineering Weekly

I had a chance to meet some of the amazing humans of data engineering. The article narrates various stages, including business intelligence, data platform, event-bus backbone, and machine learning, leading to decentralizing data engineering expertise and code.

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2. Diving Deeper into Psyberg: Stateless vs Stateful Data Processing

Netflix Tech

By Abhinaya Shetty , Bharath Mummadisetty In the inaugural blog post of this series, we introduced you to the state of our pipelines before Psyberg and the challenges with incremental processing that led us to create the Psyberg framework within Netflix’s Membership and Finance data engineering team.