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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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Data Engineering Weekly #190

Data Engineering Weekly

Uber: QueryGPT – Natural Language to SQL Using Generative AI Companies are increasingly adopting the natural language interface to interact with the enterprise data. Dropbox writes a case study on integrating Lakera Guard into their prompt engineering to secure the LLM infrastructure.

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Data Engineering Weekly #189

Data Engineering Weekly

Uber: DataMesh - How Uber laid the foundations for the Data Lake Cloud migration Many companies are slowly adopting DataMesh, and Uber writes about adopting the data mesh principle. Whether or not Data Mesh is a separate product is debatable, but it is certainly an impactful framework for scaling data platforms.

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Data Engineering Weekly #179

Data Engineering Weekly

Learn More → Notion: Building and scaling Notion’s data lake Notion writes about scaling the data lake by bringing critical data ingestion operations in-house. Hudi seems to be a de facto choice for CDC data lake features. Notion migrated the insert heavy workload from Snowflake to Hudi.

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Cloud Native Data Orchestration For Machine Learning And Data Engineering With Flyte

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

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Data Lakes and SQL: A Match Made in Data Heaven

KDnuggets

In this article, we will discuss the benefits of using SQL with a data lake and how it can help organizations unlock the full potential of their data.

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SQL for Data Engineering: Success Blueprint for Data Engineers

ProjectPro

The demand for skilled data engineers who can build, maintain, and optimize large data infrastructures does not seem to slow down any sooner. At the heart of these data engineering skills lies SQL that helps data engineers manage and manipulate large amounts of data.