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25 SQL tips to level up your data engineering skills

Start Data Engineering

Introduction Setup SQL tips 1. Handy functions for common data processing scenarios 1.1. STRUCT data types are sorted based on their keys from left to right 1.4. Need to filter on WINDOW function without CTE/Subquery use QUALIFY 1.2. Need the first/last row in a partition, use DISTINCT ON 1.3.

SQL 130
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Seamless SQL And Python Transformations For Data Engineers And Analysts With SQLMesh

Data Engineering Podcast

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Support Data Engineering Podcast

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Data Engineering Weekly #181

Data Engineering Weekly

Editor’s Note: A New Series on Data Engineering Tools Evaluation There are plenty of data tools and vendors in the industry. Data Engineering Weekly is launching a new series on software evaluation focused on data engineering to better guide data engineering leaders in evaluating data tools.

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Data Engineering Weekly #182

Data Engineering Weekly

[link] Instacart: Data Science Spotlight - Cracking the SQL Interview at Instacart (LLM Edition) Instacart writes about integrating LLM in their interview process and how it helps them identify the right candidates. Swiggy recently wrote about its internal platform, Hermes, a text-to-SQL solution.

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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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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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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. The goal of this domain is to collect, store, and process data efficiently and efficiently so that it can be used to support business decisions and power data-driven applications.