Technical Evangelist, Dremio
Andrew Madson is a seasoned data analytics and machine learning leader with extensive experience developing innovative solutions in the financial services and education sectors
Andrew Madson is a seasoned data analytics and machine learning leader with extensive experience developing innovative solutions in the financial services and education sectors
Introduction The convergence of data and artificial intelligence (AI) continues to reshape the business landscape at an accelerated pace. Organizations are under increasing pressure to derive actionable insights from their data and leverage AI to drive competitive advantage. The 2025 State of the Data Lakehouse in the AI Era Report provides a comprehensive overview of […]
Business data needs are quickly evolving, and technology is adapting to keep pace. Cloud data warehouses now offer elastic storage and compute. Data lakes have evolved into lakehouses, combining lakes’ flexibility with warehouses’ reliability. Many organizations are utilizing a hybrid on-prem + cloud data storage strategy. Transformation tools have shifted from proprietary ETL platforms to […]
Traditional data management techniques increasingly struggle to keep pace with modern data volume, variety, and velocity. The need to evolve legacy data management to enable AI-ready data has caused organizations to evaluate their data strategies. Two innovative approaches have gained prominence: Data Mesh and Data Fabric. While distinct in their philosophies, they are not mutually […]
Organizations need tools that seamlessly integrate, manage, and discover data across different platforms. That’s why we’re excited to introduce the Dremio Software OCF Connector, developed by Alation. This new connector makes it easy to catalog your Dremio assets within Alation, helping teams efficiently discover, govern, and collaborate around their data. What is the Dremio Connector […]
Modern organizations face a common challenge: efficiently analyzing massive datasets stored in data lakes while maintaining performance, cost-effectiveness, and ease of use. The Dremio Architecture Guide provides a comprehensive look at how Dremio’s innovative approach solves these challenges through its unified lakehouse platform. Let’s explore the key architectural components that make Dremio a transformative solution […]
Modern organizations are increasingly reliant on data to drive innovation, optimize operations, and gain a competitive edge. However, extracting meaningful insights from the ever-growing volume of data presents a significant challenge. Despite substantial investments in data infrastructure and specialized teams, many organizations struggle to make their data readily accessible and actionable for decision-making. The traditional […]
A Powerful Partnership Data reliability, quality, and observability are crucial for organizations to make informed decisions. Integrating Monte Carlo, a leading data observability platform, and Dremio’s Unified Lakehouse Platform, brings powerful data observability capabilities to your lakehouse. Connecting the platforms is straightforward and easy to implement, offering tangible benefits to data-driven enterprises. Monte Carlo: Advanced […]
Connecting the Dots and Data Sources for Analysts Data source connections significantly impact the efficiency of your analytics workflows. Whether you’re performing complex statistical analyses, building predictive models, or creating dashboards, your connection type influences your speed to insight. There are four main connection types: JDBC, ODBC, REST, and Arrow Flight. Understanding each helps you […]
A data flow design for modern data analytics. The medallion architecture empowers data analysts to access trusted data, collaborate with colleagues, and uncover invaluable insights quickly and efficiently. Analysts can unlock the full potential of their organization’s data and drive informed decision-making by understanding the distinct layers of the data lakehouse and its role in […]
The demand for flexible and fast data-driven decision-making is critical for modern business strategy. Semantic layers are designed to bridge the gap between complex data structures and business-friendly terminology, enabling self-service analytics. However, traditional approaches often struggle to meet performance and flexibility demands for today’s business insights. This is where a data lakehouse-powered semantic layer […]
A typical question from those seeking data virtualization solutions is how Dremio compares to platforms like Denodo. Dremio consistently emerges as the superior choice for businesses looking to gain a competitive advantage through data-driven decision-making. Let’s compare the features and performance of Dremio and Denodo. Performance and Query Optimization Dremio’s lightning-fast query performance, powered by […]
