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Snowflake’s New Python API Empowers Data Engineers to Build Modern Data Pipelines with Ease

Snowflake

In today’s data-driven world, developer productivity is essential for organizations to build effective and reliable products, accelerate time to value, and fuel ongoing innovation. Recognizing this shift, Snowflake is taking a Python-first approach to bridge the gap and help users leverage the power of both worlds.

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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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Python for Data Engineering

Ascend.io

The rise of data-intensive operations has positioned data engineering at the core of today’s organizations. As the demand to efficiently collect, process, and store data increases, data engineers have started to rely on Python to meet this escalating demand. Why Python for Data Engineering?

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DuckDB vs Polars for Data Engineering.

Confessions of a Data Guy

I was wondering the other day … since Polars now has a SQL context and is getting more popular by the day, do I need DuckDB anymore? You might think […] The post DuckDB vs Polars for Data Engineering. appeared first on Confessions of a Data Guy. These two tools are hot.

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Polars – Laziness and SQL Context.

Confessions of a Data Guy

I mean you have a problem if you could use Polars Python, and you find yourself using […] The post Polars – Laziness and SQL Context. appeared first on Confessions of a Data Guy. It’s gotten so bad, I’ve started to use it in my Rust code on the side, Polars that is.

SQL 182
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KDnuggets Top Posts for January 2023: SQL and Python Interview Questions for Data Analysts

KDnuggets

SQL and Python Interview Questions for Data Analysts • 5 SQL Visualization Tools for Data Engineers • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • Top Free Resources To Learn ChatGPT • Free TensorFlow 2.0

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How Data Engineering Teams Power Machine Learning With Feature Platforms

Data Engineering Podcast

In this episode Razi Raziuddin shares how data engineering teams can support the machine learning workflow through the development and support of systems that empower data scientists and ML engineers to build and maintain their own features. What is feature engineering is and why/to whom it matters?