At the height of the big data wars in the early 2010s, Hadoop vendors, cloud providers, and large technology companies battled over the future file format for analytics: Apache Parquet or ORC. Although both are still popular open source columnar file storage formats, ultimately they’ve been optimized for different use cases and tools, with Parquet […]
This is part of Solutions Review’s Premium Content Series, a collection of contributed columns written by industry experts in maturing software categories. In this submission, Dremio Vice President of Product Mark Lyons offers an overview of data lakehouse architecture, and how the approach is a strategic advantage over traditional architectures. Read the full article here
Could you consider data lakehouse a new buzzword in the world of tech? It seems as though we could. We first started off with using data warehouses, which refer to an information storage architecture that can be analyzed to help in the decision-making process Read the full article here
Dremio Cloud leaps big data in a single bound with a fast SQL engine and optimizations that can accelerate queries dramatically. Plus it lets you use other engines on the same data. Read the full article here.
Dremio aims to take the data warehouse landscape to the next level, with easy and open “data lake” technology. The impressive “Lakehouse” platform comes with an intuitive UI to empower companies seeking quick and scalable data analytics. Read the full article here.
Query accelerators such as data lakehouses consolidate the data warehouse and data lake into a single system of insight that enables enterprises to accelerate analysis and maximize data value at a reduced cost. Read the full article here.
In this regular feature, thought-leaders from the big data ecosystem provide commentaries on issues of the day. See how Tomer Shiran, CPO of Dremio responds to: How the government can achieve data democratization. Read the full article here.
The challenge for many organizations is making that data available for Business Intelligence (BI) and reporting. In this article, I’ll share how the Dremio Open Lakehouse Platform simplifies data architectures and accelerates access to insights on ADLS and enables ad hoc analysis and exploration with Power BI. Read the full article here.
Dremio Corp., a high-profile distributed data startup, addressed the problem by building an architecture that processes queries in a distributed fashion on the infrastructure where the data lives. Read the full article here.
The editors at Solutions Review have curated this list of the most noteworthy data management news items for the week of August 5, 2022. Read the full article here.
Dremio announced today that Dremio Cloud, the open data lakehouse platform delivered as a managed service, is now available to purchase in AWS Marketplace. Read the full article here.
Dremio is extending its partnership with Amazon Web Services (AWS), announcing that Dremio Cloud is now available to purchase in the AWS Marketplace. Read the full article here.
Every year, new startups pull to the forefront of their industry through exciting innovation and industry-disrupting business models. We’ve rounded up the most exciting Silicon Valley companies of 2022 that startup lovers, investors, and aspiring entrepreneurs should follow. Read the full article here.
Data is an increasingly valuable asset for businesses and a critical component of many digital transformation and business automation initiatives. Dremio made the list of 10 cool tools in the big data management and analytics space that made their debut in the first half of the year. Read the full article here.
To better understand data mesh and explore the challenges being faced, VMblog reached out to industry expert Billy Bosworth, Chief Executive Officer at Dremio. Read the full article here.
