Dremio releases new technology for cloud data lakes. Can the company take data in relatively slow cloud object storage and make queries against it faster?
Summary of article in VMBlog on Dremio’s Data Lake Engine.
Dremio’s new Data Lake Engines for Amazon Web Services, Azure and hybrid cloud systems enables users to work directly on data in cloud object stores
Dremio 4.0 Dramatically Improves Performance and Delivers a Self-Service Semantic Layer for Data in ADLS, S3, and Other Data Sources
Dremio releases new technology for cloud data lakes.
Dremio aims to deliver better insights sooner.
Tomer Shiran On Data Lake Engines, Cloud, Critical Data Challenges and More
Data lake specialist Dremio today announced a new offering that speeds queries on cloud-hosted platforms, including Microsoft Azure and Amazon Web Services Inc. (AWS).
Dremio has been listed among the top 50 companies driving innovation in 2019 by DBTA.
Dremio Founder and CEO Tomer Shiran calls his company a “cloud data lake engine.” It sounds very sophisticated—but what does that really mean?
Dremio, the data lake engine company, announced recently that Billy Bosworth, CEO of DataStax, has joined the company’s Board of Directors.
Tomer Shiran, CEO and Founder, Dremio, talks about the fundamental considerations to leverage the value of IoT data.
Tomer Shiran, CEO and Founder, Dremio, talks about how organizations can manage data lakes with the help of Data as a Service (DaaS).
Tomer Shiran sheds light on key tasks that need to be put in place to make sure data from IoT devices performs as a valuable asset and doesn’t become stale.
eWeek provides a great insight of Dremio, the Data-as-a-Service platform.
