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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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What is Data Analytics? How to Use it in Your Career?

Analytics Vidhya

With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries? appeared first on Analytics Vidhya.

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Data Engineering Weekly #173

Data Engineering Weekly

[link] Sponsored: From 90-sec queries to sub-second with DoubleCloud Learn how LSports, a top provider of real-time sports data, improved its data analytics using DoubleCloud’s Managed ClickHouse. seconds, enhancing real-time sports data analytics efficiency!

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How To Hire Junior Data Engineers

Seattle Data Guy

With all the recent data events I have put together I inevitably run into new data engineers who are either finishing up college or looking to transition into a data engineer or data scientist position. In fact I have talked to several newly graduated engineers who are struggling to find work.

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Common Pitfalls of Data Analytics Projects

Seattle Data Guy

Then, suddenly, a new engineer or project manager steps in, reorganizes and prioritizes tasks, and just like… Read more The post Common Pitfalls of Data Analytics Projects appeared first on Seattle Data Guy.

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The Future of Data Engineering as a Data Engineer

Monte Carlo

In the world of data engineering, Maxime Beauchemin is someone who needs no introduction. Currently, Maxime is CEO and co-founder of Preset , a fast-growing startup that’s paving the way forward for AI-enabled data visualization for modern companies. Enter, the data engineer. What is a data engineer today?

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Data Engineering Weekly #168

Data Engineering Weekly

[link] Canva: Scaling to Count Billions If you know how to count, you’re an excellent data engineer. Counting is the hardest problem in data engineering. Grab narrates how it integrated Debeizium, Kafka, and Apache Hudi to enable near real-time data analytics on the data lake.