Hands-On with Apache Iceberg Using Dremio Cloud
This article provides a practical guide to using Apache Iceberg on Dremio Cloud as part of a masterclass series. It covers key steps such as table creation, data ingestion, and optimization, along with the integration of AI-powered analytics. The piece emphasizes the ease of connecting various data sources and BI tools to enhance data management and query performance.
- ▪The article is part of a 15-part Apache Iceberg Masterclass series.
- ▪It details the process of creating Iceberg tables and ingesting data from various sources.
- ▪Dremio's Columnar Cloud Cache significantly reduces query latency by caching frequently accessed data.
DEV.to (Top) files mainly under programming. We currently carry 4,924 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/alexmercedcoder/hands-on-with-apache-iceberg-using-dremio-cloud-fa4 |
| Publication time | Fri, 22 May 2026 17:19:31 +0000 |
| Retrieval time | 2026-05-22T17:32:02.754Z |
| Last seen | 2026-05-22T17:32:02.754Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | XT89319wpiDq |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 288069) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Alex Merced Posted on May 22 Hands-On with Apache Iceberg Using Dremio Cloud This is Part 14 of a 15-part Apache Iceberg Masterclass. Part 13 covered streaming approaches. This article is a practical walkthrough of working with Iceberg on Dremio Cloud, covering table creation, data ingestion, optimization, semantic layer construction, and AI-powered analytics.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
