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Update 2020-07-01-how-to-create-near-real-time-models-with-just-dbt-s… #4157

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Update 2020-07-01-how-to-create-near-real-time-models-with-just-dbt-s… #4157

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Update 2020-07-01-how-to-create-near-real-time-models-with-just-dbt-s…
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8 changes: 8 additions & 0 deletions website/blog/2020-07-01-how-to-create-near-real-time-models-with-just-dbt-sql.md
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Expand Up @@ -13,6 +13,14 @@ date: 2020-07-01
is_featured: false
---

:::Caution More up-to-date information available
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The information contained in this blog post is outdated! You should now refer to the most recent blog post [about materialized views](/blog/announcing-materialized-views).
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You can also see our official documentation about [materializations](/docs/build/materializations).
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:::

Before I dive into how to create this, I have to say this. **You probably don’t need this**. I, along with my other Fishtown colleagues, have spent countless hours working with clients that ask for near-real-time streaming data. However, when we start digging into the project, it is often realized that the use case is not there. There are a variety of reasons why near real-time streaming is not a good fit. Two key ones are:

1. The source data isn’t updating frequently enough.
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