--- title: "#apache-iceberg articles | Hashnode" description: "Explore 64 articles tagged #apache-iceberg on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/apache-iceberg" --- Tag # #apache-iceberg 64 posts · 0 followers [Rayees Pasha](https://hashnode.com/@rayees) · [Oct 16](https://hashnode.com/posts/introducing-risingwave-3-1-smarter-lakehouse-integration-flexible-pipelines-and-more-powerful-sql/6ad1a7ce36f465c7c71dfc62) ### [Introducing RisingWave 3.1: Smarter Lakehouse Integration, Flexible Pipelines, and More Powerful SQL](https://risingwave.com/blog/introducing-risingwave-3-1-smarter-lakehouse-integration-flexible-pipelines-and-more-powerful-sql?utm_source=hashnode&utm_medium=feed) RisingWave 3.1 with native VARIANT support, enhanced Apache Iceberg integration, flexible materialized views, SQL improvements, and more. 5 min read · [risingwave.com](https://risingwave.com/blog/introducing-risingwave-3-1-smarter-lakehouse-integration-flexible-pipelines-and-more-powerful-sql?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) [N Chandra Prakash Reddy](https://hashnode.com/@ChandraPrakash1996) · [Sep 5](https://hashnode.com/posts/from-data-lake-to-lakehouse-building-modern-analytics-platforms-on-aws-with-s3-tables-aws-glue/6a9c052d3cb74146e2577854) ### [From Data Lake to Lakehouse: Building Modern Analytics Platforms on AWS with S3 Tables & AWS Glue](https://devopstour.hashnode.dev/from-data-lake-to-lakehouse-building-modern-analytics-platforms-on-aws-with-s3-tables-aws-glue?utm_source=hashnode&utm_medium=feed) Key insights from AWS Community Day Chennai | March 7, 2026 11 min read · [devopstour.hashnode.dev](https://devopstour.hashnode.dev/from-data-lake-to-lakehouse-building-modern-analytics-platforms-on-aws-with-s3-tables-aws-glue?utm_source=hashnode&utm_medium=feed) [Pranjal Verma](https://hashnode.com/@pvcodes) · [Aug 23](https://hashnode.com/posts/apache-iceberg-won-the-format-war-so-why-are-we-rebuilding-the-moat/6a8a6e43e0a10a8289da6331) ### [Apache Iceberg Won the Format War - So Why Are We Rebuilding the Moat?](https://blog.pvcodes.in/apache-iceberg-won-the-format-war-so-why-are-we-rebuilding-the-moat?utm_source=hashnode&utm_medium=feed) The format battle is settled. The new lock-in lives in catalogs, credentials, and policies your table format can't see. 7 min read · [blog.pvcodes.in](https://blog.pvcodes.in/apache-iceberg-won-the-format-war-so-why-are-we-rebuilding-the-moat?utm_source=hashnode&utm_medium=feed) [Pranjal Verma](https://hashnode.com/@pvcodes) · [Aug 23](https://hashnode.com/posts/apache-iceberg-the-backbone-of-the-modern-open-lakehouse/6a8a6ae172d37ec77f8066ae) ### [Apache Iceberg: The Backbone of the Modern Open Lakehouse](https://blog.pvcodes.in/apache-iceberg-the-backbone-of-the-modern-open-lakehouse?utm_source=hashnode&utm_medium=feed) How snapshots, REST catalogs, and a disciplined maintenance pipeline turn raw object storage into an operable multi-engine lakehouse 6 min read · [blog.pvcodes.in](https://blog.pvcodes.in/apache-iceberg-the-backbone-of-the-modern-open-lakehouse?utm_source=hashnode&utm_medium=feed) [Manu Shukla](https://hashnode.com/@mr-manushukla) · [Aug 21](https://hashnode.com/posts/aws-glue-60-cut-the-spark-dpu-rate-30-to-0308-but-only-on-60/6a88ab94ef03b0e7c7da5fb4) ### [AWS Glue 6.0 cut the Spark DPU rate 30% to $0.308, but only on 6.0](https://ecorpit.hashnode.dev/aws-glue-60-cut-the-spark-dpu-rate-30-to-0308-but-only-on-60?utm_source=hashnode&utm_medium=feed) AWS Glue 6.0 cut the Spark DPU rate 30% to $0.308, but only on 6.0 Summary. AWS Glue 6.0 became generally available on 21 August 2026 with what the announcement calls a 30% price reduction. The number 14 min read · [ecorpit.hashnode.dev](https://ecorpit.hashnode.dev/aws-glue-60-cut-the-spark-dpu-rate-30-to-0308-but-only-on-60?utm_source=hashnode&utm_medium=feed) [Manu Shukla](https://hashnode.com/@mr-manushukla) · [Aug 21](https://hashnode.com/posts/7-day-redshift-log-cap-lifted-in-august-2026-with-no-default-retention-policy/6a87caaa8168217738089ebd) ### [7-day Redshift log cap lifted in August 2026, with no default retention policy](https://ecorpit.hashnode.dev/7-day-redshift-log-cap-lifted-in-august-2026-with-no-default-retention-policy?utm_source=hashnode&utm_medium=feed) 7-day Redshift log cap lifted in August 2026, with no default retention policy Summary. On 20 August 2026 AWS announced long-term retention for Amazon Redshift system tables, writing roughly 28 SYS\_\* 12 min read · [ecorpit.hashnode.dev](https://ecorpit.hashnode.dev/7-day-redshift-log-cap-lifted-in-august-2026-with-no-default-retention-policy?utm_source=hashnode&utm_medium=feed) [Manu Shukla](https://hashnode.com/@mr-manushukla) · [Aug 2](https://hashnode.com/posts/apache-iceberg-vs-delta-lake-in-2026-choosing-the-open-table-format-for-your-lakehouse/6a6fb2c78e5f0ed13312f6cc) ### [Apache Iceberg vs Delta Lake in 2026: choosing the open table format for your lakehouse](https://ecorpit.hashnode.dev/apache-iceberg-vs-delta-lake-in-2026-choosing-the-open-table-format-for-your-lakehouse?utm_source=hashnode&utm_medium=feed) Apache Iceberg vs Delta Lake in 2026: choosing the open table format for your lakehouse Summary. The table format is the one lakehouse decision that is hard to reverse, and in 2026 the two leaders are 12 min read · [ecorpit.hashnode.dev](https://ecorpit.hashnode.dev/apache-iceberg-vs-delta-lake-in-2026-choosing-the-open-table-format-for-your-lakehouse?utm_source=hashnode&utm_medium=feed) [Shyaamal Tripathi](https://hashnode.com/@shyaamal) · [Jul 5](https://hashnode.com/posts/what-is-a-data-lakehouse/6a49a0751a48af8bf29bbc58) ### [What Is a Data Lakehouse?](https://shyaamal.hashnode.dev/what-is-a-data-lakehouse?utm_source=hashnode&utm_medium=feed) Learn what a data lakehouse is, how it blends data lakes and warehouses, and why open formats like Apache Iceberg make it work. 7 min read · [shyaamal.hashnode.dev](https://shyaamal.hashnode.dev/what-is-a-data-lakehouse?utm_source=hashnode&utm_medium=feed) [RisingWave Labs](https://hashnode.com/@RisingWaveLabs) · [May 22](https://hashnode.com/posts/apache-iceberg-aiml-training-pipelines-risingwave/6a10bdb4029687802a52c991) ### [Apache Iceberg for AI/ML: How Real-Time Ingestion Changes Model Training Pipelines](https://risingwave.com/blog/apache-iceberg-aiml-training-pipelines-risingwave?utm_source=hashnode&utm_medium=feed) Serve always-fresh training data to your ML models by combining RisingWave streaming SQL with Apache Iceberg time-travel and schema evolution 11 min read · [risingwave.com](https://risingwave.com/blog/apache-iceberg-aiml-training-pipelines-risingwave?utm_source=hashnode&utm_medium=feed)