Here's our guide to choosing a BI or data analytics platform, developed through what we've learned from working with thousands of companies to power their data infrastructure.
How to create a map of your customers using Mode and Google Maps API
We created a map visualization that shows where Stitch customers are — and they're everywhere. Here's how you can do it too.
Why and how we migrated from Redshift to Snowflake
Snowflake's powerful features promised to help our warehouse perform well even if we began to experience heavy loads.
How building a transformation layer helps us do data modeling that scales
The transformation layer is where you take all the raw data that you’ve worked so hard to get into your data warehouse and make it into clean tables that can start to generate useful insight about your business and product.
How to connect a Singer tap with Stitch
If you build a Singer integration, you can make use of it three ways.
Tutorial: Using Redshift and Amazon QuickSight to deliver business analytics
In this tutorial, we’ll show you how Amazon QuickSight can help you deliver business intelligence.
Reconciling data from Google Ads and Google Analytics
Despite the fact that they're from the same company, Google Ads and Google Analytics are different products that use their own terminology and business rules.
Delivering the right latency for analytics
Why doesn't Stitch replicate your data in real time? Because it's counterproductive for most Stitch users, for both technical and cost considerations.