How to Efficiently Load Data into DuckLake with Estuary

Video Description

Learn how to efficiently load data into DuckLake in real-time with Estuary and unlock powerful, interactive analytics with MotherDuck. In this webinar, experts from MotherDuck and Estuary walk you through a complete end-to-end demo. You'll see how to set up a no-code, real-time data pipeline from a Postgres database straight into DuckLake, and then how to use MotherDuck to query and analyze that data with incredible speed. ➡️ Follow Us LinkedIn: https://linkedin.com/company/motherduck X/Twitter : https://twitter.com/motherduck Blog: https://motherduck.com/blog/ Discover how to efficiently load data into Duck Lake, the new open table format from the creators of DuckDB, using Estuary's real-time data integration platform. This webinar demonstrates how MotherDuck, a cloud data warehouse built on DuckDB, simplifies complex data analytics and makes big data feel small. We'll walk through a complete data pipeline, from source to analysis, showcasing a powerful, modern data stack for developers and analysts looking for performant and cost-efficient solutions. Learn how Estuary's no-code platform performs real-time data ingestion using Change Data Capture (CDC) to stream data from a Postgres database directly into a Duck Lake table on S3. We cover the architecture of this data movement, including capture connectors and materializations, and show how to configure both streaming and batch data loading. This setup supports full schema evolution, ensuring your data pipeline is robust and adaptable to changes in source systems without manual intervention. Once data is in Duck Lake, see how to query it directly within the MotherDuck UI. We highlight the "Instant SQL" feature, which provides live query results as you type, dramatically speeding up data exploration and SQL development. We'll also explore query optimization techniques, explaining the performance benefits of MotherDuck's caching layer and the trade-offs between querying the open Parquet format in your data lake versus MotherDuck's high-speed native storage format. Take your data workflow to the next level by learning when to move data from your Duck Lake (ideal for a raw or silver layer in a medallion architecture) into a native MotherDuck table for gold-layer analytics, achieving a significant performance boost. We also introduce MotherDuck's larger compute instances for terabyte-scale data lake operations and showcase our AI-powered SQL generator. See how to write complex queries using natural language and use the "Fix it" feature to debug SQL errors instantly. This session also addresses key questions comparing Estuary CDC with Debezium, discussing the pros and cons of Duck Lake vs. native MotherDuck storage (openness vs. speed), and touching on upcoming dbt integrations.