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Stitch Blog

Simple, extensible ETL built for data teams

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  • Peter Kosztolanyi
  • 10 September 2019

PipelineWise illustrates the power of Singer

TransferWise used Singer to create a data pipeline framework that replicates data from multiple sources to multiple destinations.

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  • Garrett O'Brien
  • 30 July 2019

New Stitch features empower more flexible data pipelines

We are excited to announce the release of four new features: API key management, Advanced scheduling, Post-load webhooks and Notification Extensibility.

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  • Lee Schlesinger
  • 25 June 2019

Business intelligence vs. data analytics

How do you explain the difference between business intelligence and data analytics?

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  • Lee Schlesinger
  • 18 June 2019

The Stitch guide to choosing a business intelligence tool

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.

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  • Nathaniel J. Adams
  • 11 June 2019

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.

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  • Nathaniel J. Adams
  • 04 June 2019

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.

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  • Arvind Ramesh
  • 22 May 2019

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.

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  • The Stitch Team
  • 30 April 2019

How to connect a Singer tap with Stitch

If you build a Singer integration, you can make use of it three ways.

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