Our Articles

Learn how to build an efficient data pipeline by gathering detailed requirements, understanding key components like orchestration and scheduling, and using a framework to select the perfect tools for extraction, transformation and loading.

Learn strategies for scaling data pipelines to boost throughput and performance including vertical vs horizontal scaling approaches, factors to consider when choosing a scaling method, and key takeaways.

Learn the benefits of using open table formats to set up your data environment including simplified infrastructure, seamless schema updates, time travel analysis, and git-style version control.

Demystify data architecture by exploring the staging area, data cleansing, data marts, architecture patterns like hub-and-spoke and microservices, specialized patterns, and powerful data modeling frameworks.

Examining the rise of LLMs from a data engineer's lens, exploring practical use cases like synthetic data generation and data integration, addressing concerns like bias, and optimizing data pipelines with automation while ensuring privacy.

Master data modeling approaches by exploring techniques like dimensional, data vault, anchor, bitemporal, and entity-centric modeling, overcoming challenges like redundancy and scalability.

Master open data management with this comprehensive guide to essential tools like Airbyte, dbt, Metabase, and Dagster for seamless integration, powerful transformation, efficient orchestration, and insightful visualization.

Master data modeling with this comprehensive guide covering fundamentals, evolution, complexities, key concepts, normalization, SCD, ERDs, and more to optimize data engineering.

Avoid the pitfalls of feature overload that can ruin your digital product by understanding features vs functions, prioritizing requirements, and taking a holistic approach to design.

Learn effective strategies to conduct productive customer development interviews, build trust through active listening, ask open-ended questions, embrace criticism, and analyze patterns to unlock meaningful insights.