
Discover how to build and scale ML services for health and wellness products, reducing release time by 85% using open-source tools like DBT, AirFlow, and MLFlow.

Descubre cómo crear un bot de Telegram para seguimiento de salud mental usando tecnologías open source. Aprende a integrar herramientas como AWS, OpenAI Whisper y dbt para análisis de bienestar personal.

Discover how to build efficient medallion architecture using Apache Hudi's CDC feature and DBT for incremental data processing, enabling low-latency analytics and streamlined data transformation workflows.

Explore the architecture of modern data stacks, from warehousing to streaming solutions, while understanding the potential and limitations of open-source tools in today's data infrastructure.

Explore the practical applications and limitations of combining dbt and DuckDB for data transformations, examining real-world use cases and performance considerations.

Discover how to build powerful, cost-effective ETL data stacks using open-source tools like sling, dbt, duckdb, and dagster - transforming months of implementation into rapid deployment.

Learn to build robust data pipelines using dbt, Airflow, and Great Expectations. Discover how these tools complement each other to ensure data quality, perform transformations, and orchestrate workflows effectively.

Learn to leverage Data Build Tool (DBT) with Databricks and Delta for efficient data lake management, including SQL-first approach, upsert capabilities, and Azure integration for enhanced observability.

Discover Databricks Workflows: a managed orchestration service for streamlined data pipelines. Learn to create, run, and monitor reliable workflows, implement recovery actions, and explore new features for efficient data management.

Explore current trends in Data Engineering, including the shift towards new data stacks, tech used by companies, reasons for change, and the transition to data warehouses and delta lakes.

Explore the journey of modernizing a BI platform, from legacy systems to cutting-edge tools. Learn about data ingestion, dbt transformations, and Airflow orchestration, along with insights on overcoming challenges.

Master data build tool (DBT) for efficient data product development, including CICD, pipelines, validation, quality testing, deployment, and monitoring.

Explore a hands-on, cloud-agnostic data pipeline using TrinoDB, DBT, MinIO, and Apache Iceberg for scalable and lightweight analytics, suitable for both cloud and on-premise solutions.

Develop reusable and testable data pipelines using DBT and Python. Learn best practices for version control, DAGs, and unit testing in SQL and Python-based models.

Empower data consumers to create their own products with minimal training. Learn best practices, community building, SQL literacy promotion, and guard rail establishment for self-service analytics.

Explore the trade-offs between building custom CICD pipelines for dbt projects versus using dbt Cloud's built-in solutions, focusing on Slim CI and documentation deployment strategies.

Explore the evolution of semantic layers in data management, from traditional systems to modern metric stores, while understanding key challenges and future directions in data truth management.

Explore how OS-Climate builds an open data platform for climate impact analysis using open-source tools. Learn about data mesh architecture, scalability challenges, and community-driven development.

Explore dbt integration with Python for modern data infrastructure. Learn best practices, tool integration, and complex data analysis using fal package, with real-world examples.

Explore data contracts using Protobuf for event definitions, governing production, and automating DBT models in Whatnot's modern data stack processing millions of events daily.

Master continuous integration workflows in dbt to enhance data warehouse quality, implement test-driven development, and streamline collaboration for more reliable data processes.