3 Strategies to Make Data Integration Easier in Your Data Warehouse

The hardest part about building a data warehouse isn’t getting data into it…

It’s integrating and modeling that data to create a single source of truth.

Anyone can pull data from multiple sources, but the real challenge is fitting it in to a data model.

When you have different ways data can be generated and historical data from legacy systems that need to fit into a unified source of truth, not everything aligns seamlessly.

However, there are a few strategies you can use to make integration easier:

1. Modularize your steps – Don’t try to handle all your transformation tasks in one large ETL script. Break them into smaller, manageable modules.
2. Avoid appending or unioning data too early – First, transform your data into a consistent format (data types, table structure) before combining it.
3. Implement quality checks – Don’t wait for issues to arise. Code defensively and be proactive with error handling.

TL;DR: Integration is tough, but modularizing your integration steps can make the process 100x easier.

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All the Best,

Tucker