

Inside Big Data featured Dremio Fall 2020 updates as on of the latest news of big data industries.
Inside Big Data featured Dremio Fall 2020 updates as on of the latest news of big data industries.
Dremio enable large-scale SQL analytics directly against data lakes.
Cloud data lake analysis company Dremio has announced new software delivering sub-second query response times directly on cloud data lakes.
RTInsights highlights Dremio as one of the Real Time Analytics News Roundup.
Dremio fall 2020 update brings new performance to the vendor’s cloud data lake engine technology.
New low-latency query technology accelerates BI dashboard queries on Amazon S3 and Azure Data Lake Storage.
Dremio today announced new technology that it claims can deliver sub-second query response times on cloud data lakes across thousands of concurrent users and queries.
Low-latency query technology accelerates BI dashboard queries directly on Amazon S3 and Azure data lake storage.
Dremio has introduced new capabilities to deliver sub-second query response times directly on cloud data lakes and support for thousands of concurrent users and queries.
Dremio today announced its Fall 2020 release, which brings the capability referenced above. Users can now query data sitting in Amazon’s S3 and Microsoft’s ADLS directly from a BI tool like Looker, Tableau, or PowerBI.
Dremio today announced ground-breaking innovations that deliver sub-second query response times directly on cloud data lakes.
Here is the list of the Big Data 50—Companies Driving Innovation in 2020
The separation of storage, data, and compute provides greater agility, stability, and speed to insight.
TDWI article that explains the ten mistakes to avoid when querying data lakes, focusing on effective best practices for keeping data in data lake storage and querying it directly, thereby raising productivity and efficiency and lowering costs and complexity.
Dataversity article on cloud data lakes vs. cloud data warehouses.