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Six patterns that make your Spark pipelines more reliable, portable, and easier to maintain I have worked as a Data Engineer for several years and have made my share of mistakes along the way. However, with experience, I have learned a few key tricks that really help you build reliable, clean, and reproducible code. This article focuses on a few powerful concepts that you should master as you build a career as a data engineer. 1. Know Your Platform Utilities: dbutils vs. no

A practical, executive-level blueprint for turning AI ambition into real outcomes—using PostgreSQL as the foundation for secure, sovereign, and scalable intelligence. Click on the below link to download for free. Building a Data and AI Platform with PostgreSQL: An O'Reilly Book Guide

Many database developers today do not have a Computer Science degree and may also have begun their career developing software using procedural programming languages (Java, C#, etc.). As a result, they may not have the background needed to conceptualize solutions in terms of sets of data and therefore may not be able to develop efficient set-based queries. In this session, we will review the basics of set theory, and relational algebra and how they apply to database developmen