The Blueprint of a Data Team: Roles, Responsibilities, and Specializations
A data team’s success hinges on clear roles and collaboration. Explores how roles evolve, adapt to company needs, and align through a RACI matrix to deliver reliable data with minimal friction.
Data Modeling: From Basics to Advanced Techniques for Business Impact
Explore data modeling from basics to advanced techniques like Data Vault 2.0 and Anchor Modeling for business impact.
Data Mesh vs. Data Fabric: The Future of Data Management
Compare Data Mesh vs. Data Fabric for modern data management and their impact on business scalability.
Kimball vs. Inmon: High-Level Design Strategies for Data Warehousing
Compare Kimball vs. Inmon approaches to data warehouse design and their impact on business analytics.
Slowly Changing Dimensions: Strategies for Maintaining History and Integrity in Analytical Systems
Slowly Changing Dimensions (SCD) are essential for maintaining historical accuracy in data systems where context evolves over time. This in-depth guide explores all SCD types, their engineering trade-offs, and practical strategies for designing dimensional data that preserves meaning — not just metrics.
Cloud Data Tools: AWS, Google Cloud, and Microsoft Azure
A comparison of AWS, Google Cloud, and Azure for data platforms — from storage and processing to analytics, governance, and MLOps. How each shapes architecture, operations, and long-term flexibility.