--- title: Best ETL posts — June 2025 | daily.dev description: The most upvoted ETL posts from June 2025, curated by the daily.dev community. canonical: https://daily.dev/tags/etl/best-of/2025/06 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/etl/best-of/2025/06 og:type: website og:site_name: daily.dev og:title: Best ETL posts — June 2025 | daily.dev og:description: The most upvoted ETL posts from June 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 ETL — June 2025 1. 1 [](https://daily.dev/posts/announcing-lakeflow-designer-no-code-etl-powered-by-the-databricks-intelligence-platform-udxwiw3ea "Announcing Lakeflow Designer: No-Code ETL, Powered by the Databricks Intelligence Platform") Article databricks · 1y Announcing Lakeflow Designer: No-Code ETL, Powered by the Databricks Intelligence Platform Databricks introduces Lakeflow Designer, an AI-powered no-code pipeline builder that enables business analysts to create production-ready ETL pipelines without coding. The tool generates standard Lakeflow Declarative Pipelines that data engineers can review and modify, eliminating the typical separation between business and technical teams. Designer leverages AI grounded in organizational data context and provides built-in governance, observability, and scalability within the unified Databricks platform. 13 1 2. 2 [](https://daily.dev/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 3. 3 [](https://daily.dev/posts/stream-kafka-topic-to-the-iceberg-tables-with-zero-etl-xx9on98ox "Stream Kafka Topic to the Iceberg Tables with Zero-ETL") Article Data Engineer Things · 1y Stream Kafka Topic to the Iceberg Tables with Zero-ETL AutoMQ introduces Table Topic, an open-source feature that automatically converts Kafka topic messages to Iceberg tables without requiring separate ETL pipelines. The solution addresses the complexity of managing Kafka-to-lakehouse data flows by handling schema management, partitioning, and upsert operations automatically. This represents an evolution from Kafka's original shared-nothing architecture to a shared-data approach, where data is accessible through both Kafka APIs and as Iceberg tables for analytics workloads. 10 [See all ETL archives](/tags/etl/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/etl/best-of/2025/06#page","url":"https://daily.dev/tags/etl/best-of/2025/06","name":"Best ETL Posts — June 2025","description":"The most upvoted ETL posts from June 2025, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/etl/best-of/2025/06#items","numberOfItems":3,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/announcing-lakeflow-designer-no-code-etl-powered-by-the-databricks-intelligence-platform-udxwiw3ea","name":"Announcing Lakeflow Designer: No-Code ETL, Powered by the Databricks Intelligence Platform"},{"@type":"ListItem","position":2,"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":"ListItem","position":3,"url":"https://daily.dev/posts/stream-kafka-topic-to-the-iceberg-tables-with-zero-etl-xx9on98ox","name":"Stream Kafka Topic to the Iceberg Tables with Zero-ETL"}]},{"@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":"ETL","item":"https://daily.dev/tags/etl"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/tags/etl/best-of"},{"@type":"ListItem","position":5,"name":"June 2025"}]}]} ```