Blog & Speaking

Insights, Talks & Data Knowledge

Conference talks, meetups, podcasts, and articles on data engineering, warehousing, and modern data stack.

Conference Talk April 4, 2024

From Hype to Production — Data Mesh with Airflow + dbt

Conference Talk September 7, 2023

dbt Is the Core of a Modern Data Platform

Conference Talk June 10, 2022

How to Break Your DWH Using Data Mesh

Podcast June 15, 2021

Kimball, Inmon, Faberge and HNHM

About This Episode In Season 3, Episode 2 of the Data Management Podcast, I joined the hosts for a wide-ranging conversation about data warehousing methodologies — from the classical approaches of Kimball and Inmon to the modern highly normalized methods (Data Vault and Anchor Modeling) and the emerging Data Mesh paradigm.

Conference Talk May 20, 2021

Data as a Product — Why Cover DWH with Metrics

About This Talk At Highload++ 2021 — Russia’s largest conference for professionals working with high-load systems — I argued that data warehousing should be treated as a product discipline, with measurable outcomes, user feedback, and continuous improvement driven by metrics rather than intuition.

Conference Talk April 10, 2021

Data Partner — Not an Analyst, Not a Developer, Not a Manager

About This Talk At Data Fest 2021, I introduced the concept of the “Data Partner” — a role that emerged at Yandex Go (formerly Yandex.Taxi) and sits at the intersection of technology, analytics, and business. The talk covered what this role is, why it exists, and how it differs from adjacent positions like system analyst, data engineer, or engineering manager.

Online Lecture March 15, 2021

Flexible Design Methodologies — Data Vault and Anchor Modeling

About This Lecture At Karpov.Courses in 2021, I delivered a deep educational walkthrough of Data Vault and Anchor Modeling — going beyond the conference-talk level to provide a comprehensive understanding suitable for practitioners who need to implement these methodologies.

Conference Talk October 24, 2020

MetaDWH — A Data Warehouse About Your Data Warehouse

About This Talk At Data Fest Online 2020, I introduced MetaDWH — the concept of building a data warehouse on the metadata of the warehouse itself. A “warehouse about the warehouse” that provides operational intelligence, governance capabilities, and data-driven platform management.

Conference Talk September 15, 2020

Friendship Paradox in Social Networks + Tableau Visualization

About This Talk At the Academy of Analytics 2020, I combined social network theory mathematics with practical data visualization — demonstrating the Friendship Paradox and its implications through Tableau, while also covering the DWH department’s role and architecture at Mail.ru Group.

Conference Talk June 20, 2020

What’s Under the Hood of Yandex.Taxi DWH?

About This Talk At DE or DIE 2020, I took the audience behind the scenes of the data warehouse powering Yandex.Taxi (Yandex Go) — one of the largest ride-hailing services in Eastern Europe. The talk covered the technical architecture, organizational structure, and the unique challenges of building a data platform at this scale.

Conference Talk April 18, 2020

Data Vault and Anchor Modeling — Which One Is for You?

About This Talk At Data Fest 2020 (annual Open Data Science event), I presented a practical, experience-based comparison of Data Vault and Anchor Modeling — the two leading highly normalized DWH methodologies. The talk aimed to help practitioners choose the right approach for their specific context rather than following industry hype.

Conference Talk February 16, 2020

Overview of Big Data Storage Technologies

About This Talk At SmartData 2020, I participated as an expert panelist evaluating big data storage technologies. The session provided a structured overview of the storage landscape — helping practitioners navigate the growing number of options and make informed technology choices.

Conference Talk February 15, 2020

Highly Normalized Hybrid Model — Data Vault Meets Anchor Modeling

About This Talk At SmartData 2020, I presented a side-by-side comparison of Data Vault and Anchor Modeling — two highly normalized data warehousing methodologies — and proposed a hybrid model that combines the strengths of both approaches while mitigating their individual weaknesses.