Dremio Blog: Various Insights
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Dremio Blog: Various Insights
Claude + Dremio: Instantly Connect and Start Getting Insights
Today we're making it super simple to use Claude, Claude Cowork, and Claude Code with Dremio. The new Claude connector for Dremio Cloud lets anyone instantly connect Anthropic's Claude to their lakehouse. -
Dremio Blog: Various Insights
Transform Financial Services Analytics: From Data Chaos to Autonomous Intelligence
The Data Crisis Crippling Financial Services Most financial institutions today face the same bottleneck: fragmented, slow, and costly data systems that cripple the adoption of AI. Analysts wait hours for risk reports. Data engineers spend most of their time tuning queries instead of innovating. And autonomous AI agents hit performance walls and data inconsistencies that […] -
Dremio Blog: Various Insights
STACKIT Dremio: A sovereign, open lakehouse service for Europe
Across Europe, organizations are modernizing analytics and AI while tightening requirements around data control, jurisdiction, and operational accountability. What customers are increasingly seeking is straightforward: the flexibility of open architectures, the speed needed for modern workloads, and the confidence that their service operations, support, and contracting align with European expectations. Today, I’m excited to share […] -
Dremio Blog: Various Insights
Federated Semantics: The Foundation Enterprise Agentic AI Actually Needs
Most enterprise AI projects fail at the same place. Not the model. Not the infrastructure. The data. Specifically: the AI doesn't understand the data well enough to act on it accurately, and it can't reach most of the data anyway. These two problems compound each other. A model that can only see 30% of your […] -
Dremio Blog: Various Insights
Stop Waiting on Data: How 4 Dremio Customers Slashed Time to Insight
Data engineering teams are often defined by the gap between a business question and a verified answer. Requests languish in backlogs while engineering teams struggle with ETL pipelines and the technical debt of siloed warehouses. When reports finally arrive, the data is frequently stale, leading to debating the accuracy of the numbers rather than the […] -
Dremio Blog: Various Insights
What Forrester’s 2026 Data Lakehouse Landscape Signals About the Market — And Where Dremio Fits
The data lakehouse market has moved past the “is this real?” phase. According to Forrester’s The Data Lakehouses Landscape, Q1 2026, lakehouses are now the default architectural choice for modern analytics and AI workloads, driven by the need to simplify data architectures, control costs, and support modern analytics and AI workloads. For technology leaders navigating […] -
Dremio Blog: Various Insights
Data Warehouse Cost: Pricing & Optimization Tips
Explore the factors that impact the average cost of a data warehouse, learn pricing models, and discover strategies to optimize your annual spend. -
Dremio Blog: Various Insights
Top 13 Data Lakehouse Tools for 2026
Explore the top data lakehouse solutions for 2026 and discover why Dremio is the best option for users who need cost-efficient, enterprise-grade performance. -
Dremio Blog: Various Insights
How Agentic AI Can Accelerate Industrial Transformation
Last week I published a blog about some of the risks to consider when implementing Agentic AI in your workflows or organisation. But what about the other side of that coin, the benefits this revolutionary technology can bring about? Read on to learn several of the ways that Agentic AI is transforming how we work […] -
Dremio Blog: Various Insights
Every Rose Has Its Thorn: 5 Risks of AI Agents
Agentic AI offers several compelling benefits that are transforming how we work and solve problems. The key difference from traditional AI is agency, the agent’s ability to plan, use tools, take actions in sequence, and work toward goals rather than just responding to individual prompts. There are many upsides to embracing AI agents in your […] -
Dremio Blog: Various Insights
How LLMs Work: Tokens, Embeddings, and Transformers
Large Language Models (LLMs) are capable of understanding and generating language. However, they do not understand or process language in the same way that a person like you or I does. When reading text, humans construct meaning by processing the syntax of each sentence as it unfolds. This involves combining word definitions, using context from […] -
Dremio Blog: Various Insights
11 Best AI Tools for Data Engineering
Discover the top AI tools for data engineers. Compare leading platforms and see how Dremio automates pipelines and boosts performance at scale. -
Dremio Blog: Various Insights
SQL Query Optimization: 18 Proven Techniques and Tips
Explore 18 strategies for optimizing SQL queries and learn how enterprises improve speed, reduce compute costs, and maintain efficient workloads with Dremio. -
Dremio Blog: Various Insights
How to Make Your Data AI-Ready and Why It Matters
Discover how AI-ready data drives accuracy, scalability, and efficiency—and how Dremio’s Intelligent Lakehouse simplifies the entire process. -
Dremio Blog: Various Insights
Your Data Now Has an AI Assistant: 4 Surprising Ways Dremio Enables Agentic Analytics
These four capabilities are not just a list of features; they are a reinforcing system. The semantic layer provides the context, federation provides the reach, autonomous optimization delivers the speed, and the MCP framework enables the final, crucial step: action. This is the complete blueprint for agentic analytics.
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