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The Blueprint of a Data Team: Roles, Responsibilities, and Specializations
Andrey Sydelov 9/2/25 Andrey Sydelov 9/2/25

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.

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Data Modeling: From Basics to Advanced Techniques for Business Impact
Andrey Sydelov 8/26/25 Andrey Sydelov 8/26/25

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.

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Data Mesh vs. Data Fabric: The Future of Data Management
Andrey Sydelov 8/21/25 Andrey Sydelov 8/21/25

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.

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Kimball vs. Inmon: High-Level Design Strategies for Data Warehousing
Andrey Sydelov 8/19/25 Andrey Sydelov 8/19/25

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.

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Slowly Changing Dimensions: Strategies for Maintaining History and Integrity in Analytical Systems
Andrey Sydelov 7/22/25 Andrey Sydelov 7/22/25

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.

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Cloud Data Tools: AWS, Google Cloud, and Microsoft Azure
Andrey Sydelov 7/8/25 Andrey Sydelov 7/8/25

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.

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