--- title: Best Data Warehouse posts of 2025 | daily.dev description: The most upvoted Data Warehouse posts of 2025, curated by the daily.dev community. canonical: https://daily.dev/tags/data-warehouse/best-of/2025 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/data-warehouse/best-of/2025 og:type: website og:site_name: daily.dev og:title: Best Data Warehouse posts of 2025 | daily.dev og:description: The most upvoted Data Warehouse posts of 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of Data Warehouse — 2025 1. 1 [](/posts/building-a-modern-data-warehouse-from-scratch-vyl4xdfxp "Building a modern Data Warehouse from scratch") Article Medium · 1y Building a modern Data Warehouse from scratch Learn how to build a modern data warehouse using SQL Server. The project guides you through designing data architecture with Medallion Architecture, setting up ETL pipelines, developing data models, and creating data analytics and reporting solutions. Key steps include setting up project tools, implementing data quality checks, and creating bronze, silver, and gold layers for data processing and hierarchy. Resources and detailed instructions are provided for each phase. 117 2 2. 2 [](/posts/the-database-query-that-cost-1-000-000-2svpt1eia "The Database Query That Cost $1,000,000") Video Coding with Lewis · 44w The Database Query That Cost $1,000,000 Shopify nearly incurred $1 million in monthly BigQuery costs due to inefficient queries scanning 75 GB per request. By implementing database clustering to organize data by date, geography, and timestamp, they reduced query size to 508 MB, cutting costs to under $1,400 monthly. The case demonstrates how proper data warehouse optimization and partitioning strategies can prevent massive cloud infrastructure expenses. 79 1 3. 3 [](/posts/architecting-a-high-concurrency-low-latency-data-warehouse-on-databricks-that-scales-kmkz9e2pb "Architecting a High-Concurrency, Low-Latency Data Warehouse on Databricks That Scales") Article databricks · 1y Architecting a High-Concurrency, Low-Latency Data Warehouse on Databricks That Scales A comprehensive guide to building high-performance data warehouses on Databricks that handle hundreds of concurrent users with sub-second query response times. Covers architectural best practices including SQL Serverless Warehouses, Liquid Clustering, Unity Catalog governance, and AI-powered optimizations. Provides a structured framework for assessment, implementation, and monitoring, with real-world case study showing how an email marketing platform reduced costs while improving performance through materialized views and modern data organization techniques. 31 4. 4 [](/posts/preview-amazon-s3-tables-in-duckdb-zqoai2wez "Preview: Amazon S3 Tables in DuckDB") Article DuckDB · 2y Preview: Amazon S3 Tables in DuckDB DuckDB announces a new preview feature that supports Apache Iceberg REST Catalogs, enabling easy connection to Amazon S3 Tables and Amazon SageMaker Lakehouse. It allows DuckDB users to read and query Iceberg tables directly from these platforms. The guide provides detailed steps for installing necessary extensions from the core\_nightly repository and setting up S3 table buckets. The feature is currently experimental and a stable release is expected later in the year. 24 5. 5 [](/posts/which-data-architecture-should-i-choose-for-my-workplace-a-data-engineer-s-approach-kex9mtouo "Which Data Architecture Should I Choose for My Workplace? — A Data Engineer’s Approach") Article Programming Digest · 1y Which Data Architecture Should I Choose for My Workplace? — A Data Engineer’s Approach A comprehensive guide comparing four major data architecture approaches: Data Warehouse, Data Lake, Data Lakehouse, and Data Mesh. The article explains when to use each approach, their advantages and challenges, and provides platform recommendations. It focuses on the Medallion Architecture with its Bronze, Silver, and Gold layers for modern data warehouse design, emphasizing the importance of requirement analysis and proper architectural selection based on data types, analytical needs, and organizational structure. 12 [See all Data Warehouse archives](/tags/data-warehouse/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/data-warehouse/best-of/2025#page","url":"https://daily.dev/tags/data-warehouse/best-of/2025","name":"Best Data Warehouse Posts of 2025","description":"The most upvoted Data Warehouse posts of 2025, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/data-warehouse/best-of/2025#items","numberOfItems":5,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/building-a-modern-data-warehouse-from-scratch-vyl4xdfxp","name":"Building a modern Data Warehouse from scratch"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/the-database-query-that-cost-1-000-000-2svpt1eia","name":"The Database Query That Cost $1,000,000"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/architecting-a-high-concurrency-low-latency-data-warehouse-on-databricks-that-scales-kmkz9e2pb","name":"Architecting a High-Concurrency, Low-Latency Data Warehouse on Databricks That Scales"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/preview-amazon-s3-tables-in-duckdb-zqoai2wez","name":"Preview: Amazon S3 Tables in DuckDB"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/which-data-architecture-should-i-choose-for-my-workplace-a-data-engineer-s-approach-kex9mtouo","name":"Which Data Architecture Should I Choose for My Workplace? — A Data Engineer’s Approach"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tags","item":"https://daily.dev/tags"},{"@type":"ListItem","position":3,"name":"Data Warehouse","item":"https://daily.dev/tags/data-warehouse"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/tags/data-warehouse/best-of"},{"@type":"ListItem","position":5,"name":"2025"}]}]} ```