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DATA TECH ANALYTICS
Data Warehouse or Data Lakehouse - Which One is Right for You?
As businesses generate more data than ever, choosing the right data architecture is critical. Two of the most prominent architectures today are data warehouses and data lakehouses - each designed to serve different needs. But which architecture is right for your business? In this article, we’ll break down the key differences between data warehouses and data lakehouses, explore when to use each, and help you make an informed decision.
Distribution and Sort Keys in Amazon Redshift: A Guide to Faster Queries
Amazon Redshift is a powerful data warehousing solution, but achieving optimal performance requires a deep understanding of its architecture and key features.
In this article, we’ll take a look under the hood of Amazon Redshift and explore one of its key performance drivers: sort keys and distribution keys.
Das böse Wort Self-Service - und wie es dennoch funktionieren kann
Self-Service Analytics soll Anwender:innen die Möglichkeit geben, eigenständig Daten zu analysieren. Doch dieses Konzept bringt immer wieder Herausforderungen mit sich. In diesem Blogartikel erfährst du, wie sich diese Probleme mithilfe einer zusätzlichen Datenschicht – dem Semantic Layer – erfolgreich bewältigen lassen.
7 ways to level up your SQL queries
As data professionals, we spend countless hours writing, debugging, and optimizing SQL queries. Whether you're crafting dashboards, building pipelines, or simply digging into data, your SQL code can often mean the difference between an insightful analysis and an unreadable mess.
In this post, I’ll share seven tips to elevate your SQL skills and help you write queries that are not only efficient but also easy to revisit without giving you a headache.