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title: No Data Left Behind — Populating Raw Data Zones with...
description: Part III of a series on building a Customer 360 analytics solution on Snowflake, focusing on Openflow — Snowflake&#x27;s managed data integration service built on...
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# No Data Left Behind — Populating Raw Data Zones with Openflow

**[Snowflake Community](https://daily.dev/sources/snowflake_comm)** · 17 min read · 0 upvotes · 0 comments

## Summary

Part III of a series on building a Customer 360 analytics solution on Snowflake, focusing on Openflow — Snowflake's managed data integration service built on Apache NiFi. Covers the raw data zone architecture (Bronze/Silver/Gold layers), two practical connector examples (SQL Server CDC replication and SharePoint document ingestion), and Git-based version control for pipeline collaboration. Includes setup steps for roles, warehouses, and schemas, plus guidance on when to use Openflow versus built-in Snowflake tools like Dynamic Tables, Snowpark, and dbt.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://medium.com/snowflake/no-data-left-behind-populating-raw-data-zones-with-openflow-293c519ba063>

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---

Tags: [#data-engineering](https://daily.dev/tags/data-engineering), [#snowflake](https://daily.dev/tags/snowflake), [#change-data-capture](https://daily.dev/tags/change-data-capture)

[View this post on daily.dev](https://daily.dev/posts/no-data-left-behind-populating-raw-data-zones-with-openflow-fd3b0rzus)

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