Simplifying Your Data Pipeline for Maximum Performance
In this episode of The Dashboard Effect, hosts Brick and Caleb explore the essential steps to building efficient and reliable data pipelines. They discuss the critical factors in moving data from transactional systems to data lakes, highlight the importance of simplifying pipelines, and share practical strategies for handling pipeline failures, API connections, and ensuring scalability. Whether you're a data professional or a business leader looking to enhance your data processes, this episode offers valuable insights to guide you.
Key Moments:
[00:23] – What are data pipelines and why they matter
[01:23] – How to decide what data to pull for your pipeline
[02:45] – Databases vs APIs: Key differences when extracting data
[03:33] – Best practices for transforming data before loading it into the data lake
[06:07] – How to handle pipeline failures and ensure smooth operation
[08:52] – Monitoring pipeline scalability and keeping performance in check
[12:24] – Common mistakes in building pipelines and how to avoid them
[15:00] – Simplifying pipelines and using metadata for better control
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