Deciding what combination of technologies will yield the best ‘BI on Big Data’ experience can be a major challenge for data professionals. This presentation, given by Dremio CEO Tomer Shiran at Strata + Hadoop World London, aims to shed some light on some of the solutions that are available in the space.
In this session, three general classes ‘BI on Big Data’ solutions were investigated:
ETL to Data Warehouse (custom scripts, Informatica, Talend, Pentaho)
The following slides contain architectural descriptions, pros and cons, and a needs-based heuristic to assist those trying to settle on a BI on Big Data solution.
Try Dremio Cloud free for 30 days
Deploy agentic analytics directly on Apache Iceberg data with no pipelines and no added overhead.
Intro to Dremio, Nessie, and Apache Iceberg on Your Laptop
Editor’s note, September 2026. This post was published in September 2023 and some product details have changed since. Nessie is still available and self-deployable under the Apache-2.0 licence, and it remains the clearest implementation of catalog-level branching. It is not an Apache Software Foundation project, and its development has slowed considerably. For how the current […]
Aug 16, 2023·Dremio Blog: News Highlights
5 Use Cases for the Dremio Lakehouse
With its capabilities in on-prem to cloud migration, data warehouse offload, data virtualization, upgrading data lakes and lakehouses, and building customer-facing analytics applications, Dremio provides the tools and functionalities to streamline operations and unlock the full potential of data assets.
Sep 30, 2026·Dremio Blog: Open Data Insights
Apache Iceberg 1.12.0: What’s New, Breaking Changes, and Upgrade Guide
Apache Iceberg 1.12.0 expands v3 engine support, REST catalog operations, streaming reliability, and v4 groundwork. Learn how to upgrade safely.