|
You are here |
www.onehouse.ai | ||
| | | | |
www.rilldata.com
|
|
| | | | | Why are open table formats booming? This blog explores the four layers of the ICE Stack, from storage to catalogs, and why managed Iceberg might represent the post-Modern Data Stack future where data independence truly matters. | |
| | | | |
www.getorchestra.io
|
|
| | | | | Discover how Data Engineers are using Apache Iceberg in Snowflake to replace External Tables, thereby truly deocupling compute and storage. Find out more. | |
| | | | |
jack-vanlightly.com
|
|
| | | | | In today's post I want to walk through a fascinating indexing technique for data lakehouses which flips the role of the index in open table formats like Apache Iceberg and Delta Lake. We are going to turn the tables on two key points: 1. Indexes are primarily for reads. Indexes are usually framed as read optimizations paid for by write overhead: they make read queries fast, but inserts and updates slower. That isn't the full story as indexes also support writes such as with faster uniqueness enforcement and reducing lock contention (for example, by avoiding range locks during table scans) but the dominant mental model is that indexing serves reads while writes pay the bill. 2. OTFs don't use tree-based indexes. Open-table format indexes are data-skipping ind... | |
| | | | |
blog.newsfilecorp.com
|
|
| | | AI now scans, indexes & learns from your press releases. Discover how to write AI-friendly news that boosts brand visibility & credibility | ||