Orchestrate your LakeHouse with Kestra and DuckDB

The blog discusses the integration of Kestra and DuckDB to streamline lakehouse architecture, blending the strengths of data lakes and warehouses to reduce costs and complexities. It highlights a presentation from the first DuckDB Meetup in Paris, explaining how DuckDB's in-memory columnar database complements Kestra's orchestration capabilities. The lakehouse model offers an efficient and flexible data management system through its three-layer structure—query engine, transaction layer, and storage layer—enhancing both analytical and operational workflows. The blog details three levels of implementing DuckDB within Kestra environments, ranging from basic query automation to advanced data management and analytics, with the final level incorporating metadata management and ACID properties via Apache Iceberg. Additionally, it reflects on a shift towards smaller, manageable data sizes, emphasizing the cost-effectiveness and practicality of using single-node databases like DuckDB for most scenarios while also utilizing distributed computing tools when necessary. The article underscores the importance of a control plane like Kestra for efficient project management and highlights the human element in development, advocating for a focus on innovation facilitated by Kestra's user-friendly syntax.