Tag: Dremio
Jul 20, 2020 |
The explosion of data and the need for business agility to leverage that data for competitive advantage are driving a massive surge of data lake innovation. We’ve moved past first-generation on-premises Hadoop-based data lakes to focus on building next-generation data platforms in the cloud. Read more…
Mar 26, 2020 |
In the midst of an unprecedented viral pandemic and the threat of a major economic recession, data middleman Dremio provided the rare bit of good news when it announced today that it raised $70 million in venture capital to fund its ongoing growth. Read more…
Sep 17, 2019 |
Most of today’s big data action is occurring in the cloud, where companies are building massive data lakes atop object storage systems like AWS S3 and Microsoft ADLS. While object stores offer tremendous scalability, they’re notoriously slow. Read more…
Nov 28, 2018 |
Dremio has donated the Gandiva Initiative — a LLVM-based execution kernel designed to speed up analytical workloads – to the Apache Software Foundation, where it will become available to anybody who wants it as part of the Apache Arrow project. Read more…
Oct 30, 2018 |
Dremio today rolled out a version 3.0 update to its multi-purpose data analytics tool with new features like support for Kubernetes, a built-in data catalog, and support for Teradata, Elasticsearch, and Microsoft ADLS data sources, among others. Read more…
Jan 23, 2018 |
Dremio CEO Tomer Shiran wasn’t planning on completing a Series B round of investment until later this year. Sales have been humming along for Dremio’s self-service data access tool, he says, and things were going well. Read more…
Jul 19, 2017 |
If your business analysts are struggling to connect, prepare, and query data from multiple sources in a timely and cost effective manner, you might be interested in learning about Dremio, a new open source software company that officially emerged from stealth today. Read more…
Mar 28, 2016 |
In the era of RDBMS and modern data warehouses, business intelligence was mostly a solved problem. Any reasonably advanced tool would work with any reasonable database, and the only real work was deciding what to collect and how to present it. Read more…
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