Tag:Data Lakehouses
Articles tagged "Data Lakehouses", page 2.
- 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Building Scalable Pipelines
What makes a data pipeline scalable: parallel and distributed processing, less data movement, managing compute resources, and designing for change.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | DevOps for Data Engineering
How DevOps applies to data engineering: version control for pipelines, CI and automated tests, infrastructure as code, deployment, and incident response.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Cloud Data Platforms and the Modern Stack
What the modern data stack is, how cloud platforms changed data engineering, the managed services they offer, and how to design data systems for agility.
Data EngineeringDatabasesData Lakes - 4 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Data Lakehouse Architecture Explained
Why running a separate data lake and data warehouse causes problems, what a data lakehouse is, the open technologies behind it, and its main benefits.
Data EngineeringDatabasesData Lakes - 5 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | Apache Iceberg, Arrow, and Polaris
How Apache Iceberg tables, the Apache Arrow memory format, and the Apache Polaris catalog each solve a lakehouse problem and work together across engines.
Data EngineeringDatabasesData Lakes - 6 MIN READ•May 2, 2025
Introduction to Data Engineering Concepts | The Power of Dremio in the Modern Lakehouse
How Dremio fits a modern lakehouse: Iceberg clustering for data layout, Autonomous Reflections for speed, Polaris-based governance, and AI-ready data.
Data EngineeringDatabasesData Lakes