Data lake query engine(s)
As organizations scale their data operations, they need to simplify access and accelerate reporting. Data querying unifies data catalogs and enhances query speeds, delivering stronger business insights in less time.
Dremio
Dremio is a cloud data lake engine that delivers lightning-fast query speeds and a self-service semantic layer directly on Amazon S3. Dremio provides data teams with flexibility and control, and analysts with easy access to data to reduce time to insight. This is achieved by eliminating the need to copy and move data to proprietary data warehouses or create cubes, aggregation tables, and BI extracts.
Dremio features include:
- Apache Arrow-based query engine to accelerate queries up to 3000x
- Self-service semantic layer to quickly provision new datasets and create derivative datasets
- Native support for AWS security utilities
- Execution engines that operate in Amazon EC2 while your data stays in Amazon S3
How it works
Additional resources provided by Dremio
InCrowd Sports needed to provide their clients with a 360° view of how fans engage across all digital and transactional touch points. To achieve this, they implemented an open data lake architecture using Amazon S3 and Dremio. With interactive query performance and a self-service semantic layer, InCrowd can now deliver faster, more secure access to more data. This has resulted in improved insights, increased revenue and loyalty through personalized fan experiences.
We were quite lucky as we stumbled into Dremio relatively early. It really was a light bulb moment. The technology started delivering tremendous value almost immediately and it is now a key part of the future of InCrowd.
Ciaran Fisher, CTO, InCrowd
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