Without proper training, models and applications will fail. As a result, enterprises will pay increased attention to the information used to train artificial intelligence tools. As interest in AI development surges, the underlying data used to train models and applications becomes increasingly important. As a result, 2025 will likely be a year when enterprises place […]
Around this time of year, many data, analytics, and AI organizations are planning for the new year, and are dusting off their crystal balls in an effort to understand what lies ahead in 2025. But like all predictions, they are only helpful if they are right. If you are a fantasy sports fan like me, […]
Amazon has added an Iceberg table bucket type to S3 along with S3 Metadata to create an S3 analytics data lake capability competing with Databricks, Dremio, SingleStore and other Iceberg-using data lake suppliers, as well as Iceberg-supporting object storage suppliers The new S3 Tablesa bucket type and S3 Metadata were announced at the recent re:Invent […]
In this exclusive interview, we explore Tomer Shiran’s journey from shaping the Big Data movement at MapR to founding Dremio, a leader in the data lakehouse space. Tomer shares insights on innovations in open architecture and AI, strategies driving Dremio’s success, and his vision for the future of data analytics. Discover how Dremio is empowering businesses to unlock […]
Dull-sounding, potentially revolutionary four-letter words fly thick and fast at the annual Las Vegas geek-fest.New foundation models, new hardware, hundreds of new features… AWS’s re:Invent delivered its usual frenetic flurry of releases as CEO Matt Garman and guests like JPMorgan CIO Lori Beer took to the main stage on Tuesday. Nova Among the highlights: […]
Insights on bridging data engineering, AI, and education at Dremio with Andrew Madson, Data Analytics, Data Science, and AI Evangelist. Hi Andrew, we are delighted to have you with us. Could you please tell us your expertise and experiences in data analytics, AI, and education, highlighting your professional journey, and how you ended up as […]
Dremio has launched a Hybrid Data Catalog for Apache Iceberg, designed to offer businesses flexibility and governance in data management across multiple environments. The new offering from Dremio supports on-premises, cloud, and hybrid deployments, positioning Dremio as a unique provider in the lakehouse sector that offers full architectural flexibility. This development comes amidst a growing […]
Tell us about Dremio? Dremio was founded with a vision to enable companies to harness their data. Today, it is the open and easy data lakehouse, providing self-service SQL analytics, data warehouse performance and functionality, and data lake flexibility across all of a company’s data. Dremio features an open architecture that separates data and compute. […]
Dremio announced that its Data Catalog for Apache Iceberg now supports all deployment options—on-prem, cloud, and hybrid. The company claims that makes Dremio the only lakehouse provider to deliver full architecture flexibility. Additionally, Dremio announced integrations with Snowflake’s managed service of Apache Polaris (incubating) and Databricks’ Unity Catalog managed service. Read the full story, via RT Insights.
Dremio’s Unified Lakehouse Now Supports All Deployment Options This allows customers to choose the best catalog for their needs, while using Dremio to deliver seamless analytics across all data. Databricks and Snowflake customers can choose the catalog that makes the most sense for their business, reducing total cost of ownership (TCO) and avoiding unnecessary infrastructure […]
Lakehouse supplier Dremio announced its Data Catalog for Apache Iceberg. Built on the open source Project Nessie, it supports all deployment options – on-prem, cloud, and hybrid – making Dremio the only lakehouse provider to deliver full architecture flexibility. Additionally, Dremio is announcing integrations with Snowflake’s managed service of Apache Polaris (incubating) and Databricks’ Unity Catalog managed service. This […]
Dremio today announced that the metadata catalog at the heart of its Apache Iceberg-based data lakehouse now supports other popular metadata catalog services, including Snowflake’s Apache Polaris-based catalog and Databricks Unity Catalog. The lakehouse provider says the move in its Project Nessie-based metadata catalog will bolster architectural flexibility in the cloud, on-prem, and everywhere in […]
In 2020, Martin Fowler introduced domain-driven design (DDD), advocating for deep domain understanding to enhance software development. Today, as organizations adopt DDD principles, they face new hurdles, particularly in data governance, stewardship, and contractual frameworks. Building practical data domains is a complex undertaking and comes with some challenges, but the rewards in terms of data consistency, usability, […]
Dremio on Tuesday updated its Data Catalog for Apache Iceberg to support all deployment options, enabling customers to manage data across varied data centers, regions and clouds. Previously, the vendor’s Data Catalog for Apache Iceberg was only available in Dremio Cloud, the vendor’s cloud-based platform. The update adds availability in Dremio Software, the on-premises version of the […]
Dremio Corp., the developer of a data lakehouse platform based on the Apache Iceberg table format, today is throwing its support behind the Polaris data catalog that cloud data warehousing firm Snowflake Inc. released to open source in June. The move is an important third-party endorsement for Snowflake, battling rival Databricks Inc. to become the platform of […]
