AI developers face many challenges that can be easily addressed by embedding a semantic layer in the data platform. For example, imagine a developer building a model to better predict customer churn. They reach out to the sales and finance departments to obtain datasets containing customer sales history, along with information on payment status, contracts, […]
Agentic and generative AI are introducing new enterprise requirements for management and use of data, and leading software providers are meeting the moment with innovative hybrid data platforms, according to new research from global AI-centered technology research and advisory firm Information Services Group. Read the full story, via Benzinga.
Featuring Aniket Kulkarni, cloud architect at Dremio. The Converge360 “Elevator Pitch” video series spotlights trailblazing IT organizations that are helping enterprises navigate today’s AI space. Elevator Pitch videos feature interviews with executives who explain what their companies do, their target customers, how they use AI to solve common business problems, and how to get in touch with […]
Organizations have been locked in an ongoing debate over whether Snowflake or Databricks provides the superior data platform. Both companies have developed impressive ecosystems, offering analytics, AI capabilities, and data engineering solutions. However, these platforms often require organizations to move or transform large volumes of data into proprietary storage or specific formats, which leads to […]
It’s been quite a journey from relational databases to warehouses and beyond. As data reigns supreme and analytics needs become more immediate and complex, warehouses simply aren’t enough. They’re limited to handling structured data at high speed, but all information isn’t organized that way. As an answer to big data and its challenges, data lakes […]
Initially, semantic layers emerged quietly inside BI tools. These embedded layers allowed teams to define business metrics, hierarchies, and relationships directly within the reporting environment. This provided some structure in that teams using the same BI tool could reference the same definitions, but the benefits stopped there. When another department used a different tool, those […]
Over the past decade, we’ve watched data infrastructure evolve from on-prem monoliths to highly modular, cloud-native platforms. But let’s rewind the clock a bit further to see how we got here—and why Apache Polaris (Incubating) just might be the missing piece for truly scalable, governed data lakehouse architectures. Back in the Hadoop era, the goal was clear: […]
This exclusive Q&A with Rahim Bhojani, CTO of Dremio, offers an introductory explanation of the model context protocol and why it is becoming the backbone of agentic AI. As generative AI continues to evolve from passive information retrieval to active decision-making and workflow execution, a new technical standard is emerging to support this transition: the […]
Version 3 of Apache Iceberg has been released. A number of features have been added that expand the flexibility of the data table format, including a few much-requested data types, faster deletes, row lineage and default values for NULL types. This new version — as well the v4 version the core development team is about […]
The global cloud data warehouse market is on a strong growth trajectory, driven by the accelerating adoption of cloud-based data management solutions across industries. Valued at approximately USD 18 billion in 2024, the market is projected to reach nearly USD 58 billion by 2034, registering a robust compound annual growth rate (CAGR) of about 12.5% […]
Dremio celebrates its commitment and contributions to Apache Polaris SANTA CLARA, Calif., June 03, 2025 (GLOBE NEWSWIRE) — Dremio, the intelligent lakehouse platform, today announced that it is acknowledging and celebrating the one-year anniversary of Apache Polaris, and is solidifying its allegiance to the project that has quickly transformed how organizations manage data at scale. […]
Dremio launches MCP Server The server will allow AI agents to explore datasets, generate queries, and retrieve governed data. “Dremio’s implementation of MCP enables Claude to extend its reasoning capabilities directly to an organization’s data assets, unlocking new possibilities for AI-powered insights while maintaining enterprise governance,” said Mahesh Murag, product manager at Anthropic. Read the […]
“As the market for enterprise AI evolves, customers are moving from proof-of-concepts to real-world deployments, driving the need to unify their data for business impact,” he said. “Our secure, cloud-integrated, silo-free infrastructure positions us as a leader in this transformation. We power AI pipelines from data preparation to model training to production deployments on-premises and […]
The Model Context Protocol (MCP) supports the development of AI agents that can perform complex tasks by interacting with multiple data sources and tools in real-time. We’re in the age of AI assistants and AI agents. Increasingly, their roles are changing from entities designed to use a limited source of data to perform narrowly defined […]
… At Snowflake, Llama powers workloads like summarizing sales call transcripts and extracting structured information from customer reviews. At the data platform company Dremio, Llama generates structured query language code and writes marketing emails. “For 80% of applications, the model probably doesn’t matter,” Tomer Shiran, a cofounder and the chief product officer of Dremio, told […]
