Andrew Madson

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's Articles and Resources

Blog Post

Dremio and Monte Carlo – Enhanced Data Reliability For Your Data Lakehouse

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 […]

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Gnarly Data Waves Episode

Mastering Semantic Layers: The Key to Data-Driven Innovation

A semantic layer in data analytics acts as a bridge between complex data and business users, simplifying data access and interpretation. It enables self-service analytics, ensures data consistency, and accelerates time-to-insight, transforming your data strategy for faster, data-driven decision-making.
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Blog Post

A Data Analyst’s Guide to JDBC, ODBC, REST, and Arrow Flight

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 […]

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Blog Post

Lakehouse Architecture for Unified Analytics – A Data Analyst’s Guide to Accelerated Insights

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 […]

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Blog Post

Unified Semantic Layer: A Modern Solution for Self-Service Analytics

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 […]

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Blog Post

Dremio vs. Denodo – A Comparison

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 […]

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