--- title: "#deltalake articles | Hashnode" description: "Explore 41 articles tagged #deltalake on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/deltalake" --- Tag # #deltalake 41 posts · 2 followers [Rahul R](https://hashnode.com/@rahul-data) · [1d ago](https://hashnode.com/posts/how-delta-lake-is-built-on-top-of-amazon-s3-understanding-the-architecture-behind-it/6af47b60c44e54ee6bdc37ab) ### [How Delta Lake Is Built on Top of Amazon S3: Understanding the Architecture Behind It](https://rahul-dataeng.hashnode.dev/how-delta-lake-is-built-on-top-of-amazon-s3-understanding-the-architecture-behind-it?utm_source=hashnode&utm_medium=feed) Understanding How Parquet Files and Transaction Logs Turn an S3 Data Lake into a Reliable Lakehouse. 8 min read · [rahul-dataeng.hashnode.dev](https://rahul-dataeng.hashnode.dev/how-delta-lake-is-built-on-top-of-amazon-s3-understanding-the-architecture-behind-it?utm_source=hashnode&utm_medium=feed) [MyData Insights](https://hashnode.com/@mydatainsights) · [Sep 15](https://hashnode.com/posts/what-is-a-data-lakehouse-a-practitioner-s-definition/6aa9592f697483e297d1006c) ### [What Is a Data Lakehouse? A Practitioner’s Definition](https://mydatainsights-blogs.hashnode.dev/what-is-a-data-lakehouse-a-practitioner-s-definition?utm_source=hashnode&utm_medium=feed) A data lakehouse is object storage holding open table formats with a transaction log that adds ACID, schema enforcement and time. 11 min read · [mydatainsights-blogs.hashnode.dev](https://mydatainsights-blogs.hashnode.dev/what-is-a-data-lakehouse-a-practitioner-s-definition?utm_source=hashnode&utm_medium=feed) [Krunal Kanojiya](https://hashnode.com/@krunalkanojiya) · [Jun 22](https://hashnode.com/posts/delta-lake-explained/6a38b1e7826df497c0e82a96) ### [Delta Lake Explained: What It Actually Does and Why Your Data Lake Needs It](https://krunalkanojiya.hashnode.dev/delta-lake-explained?utm_source=hashnode&utm_medium=feed) The open-source storage layer that turns a folder of Parquet files into a production-ready database. 3 min read · [krunalkanojiya.hashnode.dev](https://krunalkanojiya.hashnode.dev/delta-lake-explained?utm_source=hashnode&utm_medium=feed) [Kushneet Kaur](https://hashnode.com/@kushneet) · [Jun 20](https://hashnode.com/posts/lakehouse-architecture-explained/6a36b4d220b1c28d5ae61f5b) ### [What is a Lakehouse?](https://cloudnativebykushneet.hashnode.dev/lakehouse-architecture-explained?utm_source=hashnode&utm_medium=feed) Why Modern Data Engineering Moved Beyond Data Lakes and Warehouses 5 min read · [cloudnativebykushneet.hashnode.dev](https://cloudnativebykushneet.hashnode.dev/lakehouse-architecture-explained?utm_source=hashnode&utm_medium=feed) [Kushneet Kaur](https://hashnode.com/@kushneet) · [May 23](https://hashnode.com/posts/stop-optimizing-your-prompts-fix-your-data-pipelines/6a11de001a3cf7bffc3d3e56) ### [Stop Optimizing Your Prompts. Fix Your Data Pipelines.](https://cloudnativebykushneet.hashnode.dev/stop-optimizing-your-prompts-fix-your-data-pipelines?utm_source=hashnode&utm_medium=feed) Even the most sophisticated AI models become completely erratic when fed by a brittle data system. The fix isn't a better model — it's better infrastructure. 6 min read · [cloudnativebykushneet.hashnode.dev](https://cloudnativebykushneet.hashnode.dev/stop-optimizing-your-prompts-fix-your-data-pipelines?utm_source=hashnode&utm_medium=feed) [2](https://hashnode.com/posts/stop-optimizing-your-prompts-fix-your-data-pipelines/6a11de001a3cf7bffc3d3e56) [srkhan2809](https://hashnode.com/@shahida-khan) · [May 11](https://hashnode.com/posts/delta-lake-deep-dive-the-acid-trip-that-actually-works-mostly/6a0181f6a63f995f5f9011a2) ### [Delta Lake Deep Dive: The ACID Trip That Actually Works (Mostly)](https://core-de-platform.hashnode.dev/delta-lake-deep-dive-the-acid-trip-that-actually-works-mostly?utm_source=hashnode&utm_medium=feed) As a Data Engineer who has spent the last 12 years watching "simple" Parquet lakes turn into toxic waste dumps, let’s talk about Delta Lake. In the "Old School" days (2015), if a Spark job failed mid-write, you spent your weekend manually deleting orphaned .parquet files from S3 like a digital janitor. Then Delta Lake arrived, promised us ACID transactions, and we all thought we were saved. Spoiler: We weren't. We just traded "missing data" for "transaction log corruption" and "vacuum nightmares." Here is the unfiltered, production-tested guide to Delta Lake. 4 min read · [core-de-platform.hashnode.dev](https://core-de-platform.hashnode.dev/delta-lake-deep-dive-the-acid-trip-that-actually-works-mostly?utm_source=hashnode&utm_medium=feed) [christan\_techno](https://hashnode.com/@christan7652) · [Mar 29](https://hashnode.com/posts/databricks-account-hierarchy-explained-a-complete-guide-to-unity-catalog-workspaces-and-data-governance/69c8760e7816e434a0c5e50e) ### [Databricks Account Hierarchy Explained: A Complete Guide to Unity Catalog, Workspaces, and Data Governance](https://christan-tech-blog.hashnode.dev/databricks-account-hierarchy-explained-a-complete-guide-to-unity-catalog-workspaces-and-data-governance?utm_source=hashnode&utm_medium=feed) TL;DR: Databricks organizes everything in a layered hierarchy — Account → Metastore → Workspace → Catalog → Schema → Table. Understanding how Workspaces, Bindings, and Permissions interact at each lay 13 min read · [christan-tech-blog.hashnode.dev](https://christan-tech-blog.hashnode.dev/databricks-account-hierarchy-explained-a-complete-guide-to-unity-catalog-workspaces-and-data-governance?utm_source=hashnode&utm_medium=feed) [Mbuotidem Awak](https://hashnode.com/@mbawak) · [Dec 11, 2025](https://hashnode.com/posts/data-architecture-managed-and-external-tables-in-fabric-lakehouse/693acd11b96790748cf6b049) ### [Data Architecture: Managed and External Tables in Fabric Lakehouse](https://mbuotidemawak.hashnode.dev/data-architecture-managed-and-external-tables-in-fabric-lakehouse?utm_source=hashnode&utm_medium=feed) When you work with data in Fabric Lakehouse, you need to understand two fundamental table types: managed tables and external tables. This distinction affects how your data is stored, accessed, and what happens when you delete tables. This article exp... 8 min read · [mbuotidemawak.hashnode.dev](https://mbuotidemawak.hashnode.dev/data-architecture-managed-and-external-tables-in-fabric-lakehouse?utm_source=hashnode&utm_medium=feed) [BladePipe](https://hashnode.com/@BladePipe) · [Oct 29, 2025](https://hashnode.com/posts/choosing-your-data-lake-format-in-2025iceberg-vs-delta-lake-vs-paimon/690179e0931115833927d7a1) ### [Choosing Your Data Lake Format in 2025:Iceberg vs Delta Lake vs Paimon](https://bladepipe.hashnode.dev/choosing-your-data-lake-format-in-2025iceberg-vs-delta-lake-vs-paimon?utm_source=hashnode&utm_medium=feed) In the era of big data, data lakes became a popular choice for large-scale analytics, thanks to their flexibility, low cost, and separation of storage and compute. But they’ve also struggled with consistency, schema drift, and complex query optimizat... 8 min read · [bladepipe.hashnode.dev](https://bladepipe.hashnode.dev/choosing-your-data-lake-format-in-2025iceberg-vs-delta-lake-vs-paimon?utm_source=hashnode&utm_medium=feed) [Alex Merced](https://hashnode.com/@alexmerced) · [Sep 25, 2025](https://hashnode.com/posts/the-ultimate-guide-to-open-table-formats-iceberg-delta-lake-hudi-paimon-and-ducklake/68d49915cdaa6c31e627addf) ### [The Ultimate Guide to Open Table Formats - Iceberg, Delta Lake, Hudi, Paimon, and DuckLake](https://techblog.alexmerced.com/the-ultimate-guide-to-open-table-formats-iceberg-delta-lake-hudi-paimon-and-ducklake?utm_source=hashnode&utm_medium=feed) title: The Ultimate Guide to Open Table Formats - Iceberg, Delta Lake, Hudi, Paimon, and DuckLake date: "2025-09-24" description: "Understanding Iceberg, Delta Lake, Hudi, Paimon, and DuckLake" author: "Alex Merced" category: "Data Engineering" banne... 19 min read · [techblog.alexmerced.com](https://techblog.alexmerced.com/the-ultimate-guide-to-open-table-formats-iceberg-delta-lake-hudi-paimon-and-ducklake?utm_source=hashnode&utm_medium=feed)