Guide on connecting Databricks Unity Catalog to Dremio Cloud to query Delta Lake tables with federation, AI analytics, and performance acceleration.
Guide on connecting Snowflake to Dremio Cloud to federate queries, accelerate performance, and reduce Snowflake compute costs.
Explains the distinct roles of data catalogs and semantic layers in data architecture, arguing they are complementary tools.
Seven common data modeling mistakes that cause reporting errors and slow analytics, with practical solutions to avoid them.
Explains the difference between a metrics layer and a semantic layer in data architecture, clarifying their distinct roles and relationship.
A step-by-step guide to building a robust semantic layer for consistent data metrics, covering architecture, stakeholder alignment, and implementation.
Explains what a semantic layer is, its components, and how it provides consistent business definitions for data queries and AI agents.
Explains how a semantic layer enforces data governance by embedding policies directly into the query path, ensuring consistent metrics and access control.
Explains how a self-documenting semantic layer uses AI to automate data documentation, reducing manual work and governance risks for data teams.
Explains why AI data analytics fail without a semantic layer to define business metrics and ensure accurate, secure queries.
Argues that data quality must be enforced at the pipeline's ingestion point, not patched in dashboards, to ensure consistent, reliable data.
A curated collection of links covering software architecture, unit testing pitfalls, Scrum practices, AI's impact on creativity, and personal tech learning.
A 2025 year-in-review focusing on advocacy work for database professionals, AI integration, and practical tech leadership at conferences.
Explains core data engineering concepts: metadata, data lineage, and governance, and their importance for scalable, compliant data systems.
A profile of a Senior Analytics Engineer specializing in dbt, data mesh architecture, and applying library science principles to modern data teams.
An introduction to Data Vault modeling, a flexible data warehouse design method using Hubs, Links, and Satellites for scalable data integration.
Explores how Dremio's platform simplifies building and managing Apache Iceberg-based data lakehouses with governance, performance, and self-service.
A Datacast interview with Heather Wentworth on using data intelligence and technology to transform the insurance industry.
SQL Server 2019's Master Data Services (MDS) finally replaces the Silverlight-based web interface with a modern, browser-agnostic HTML front-end.
