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:
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.
Explore this interactive demo and see how Dremio's Intelligent Lakehouse enables Agentic AI
Deploy agentic analytics directly on Apache Iceberg data with no pipelines and no added overhead.
We're always looking for ways to better handle and save money on our data. That's why the "data lakehouse" is becoming so popular. It offers a mix of the flexibility of data lakes and the ease of use and performance of data warehouses. The goal? Make data handling easier and cheaper. So, how do we […]
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.
Dremio Arctic bring new features to Dremio Cloud, including Apache Iceberg table optimization and Data as Code.
