Merge branch 'current' into ly-docs-repo-caching

website/docs/docs/build/cumulative-metrics.md

@@ -38,10 +38,7 @@ metrics:
 
 ## Limitations
 Cumulative metrics are currently under active development and have the following limitations:
-
-1. You can only use the [`metric_time` dimension](/docs/build/dimensions#time) to check cumulative metrics. If you don't use `metric_time` in the query, the cumulative metric will return incorrect results because it won't perform the time spine join. This means you cannot reference time dimensions other than the `metric_time` in the query.
-2. If you use `metric_time` in your query filter but don't include "start_time" and "end_time," cumulative metrics will left-censor the input data. For example, if you query a cumulative metric with a 7-day window with the filter `{{ TimeDimension('metric_time') }} BETWEEN '2023-08-15' AND '2023-08-30' `, the values for `2023-08-15` to `2023-08-20` return missing or incomplete data. This is because we apply the `metric_time` filter to the aggregation input. To avoid this, you must use `start_time` and `end_time` in the query filter.
-
+- You are required to use [`metric_time` dimension](/docs/build/dimensions#time) when querying cumulative metrics. If you don't use `metric_time` in the query, the cumulative metric will return incorrect results because it won't perform the time spine join. This means you cannot reference time dimensions other than the `metric_time` in the query.
 
 ## Cumulative metrics example
 

website/docs/docs/core/about-core-setup.md

@@ -14,7 +14,7 @@ dbt Core is an [open-source](https://github.com/dbt-labs/dbt-core) tool that ena
 - [Connecting to a data platform](/docs/core/connect-data-platform/profiles.yml)
 - [How to run your dbt projects](/docs/running-a-dbt-project/run-your-dbt-projects)
 
-To learn about developing dbt projects in dbt Cloud or dbt Core, refer to [Develop dbt](/docs/cloud/about-develop-dbt).
-- **Note** — dbt Cloud provides a command line interface with the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation). Both the open-sourced dbt Core and the dbt Cloud CLI are command line tools that let you run dbt commands. The key distinction is the dbt Cloud CLI is tailored for dbt Cloud's infrastructure and integrates with all its [features](/docs/cloud/about-cloud/dbt-cloud-features).
+To learn about developing dbt projects in dbt Cloud, refer to [Develop with dbt Cloud](/docs/cloud/about-develop-dbt).
+  - dbt Cloud provides a command line interface with the [dbt Cloud CLI](/docs/cloud/cloud-cli-installation). Both dbt Core and the dbt Cloud CLI are command line tools that let you run dbt commands. The key distinction is the dbt Cloud CLI is tailored for dbt Cloud's infrastructure and integrates with all its [features](/docs/cloud/about-cloud/dbt-cloud-features).
 
 If you need a more detailed first-time setup guide for specific data platforms, read our [quickstart guides](https://docs.getdbt.com/guides).

website/vercel.json

@@ -2,11 +2,15 @@
   "cleanUrls": true,
   "trailingSlash": false,
   "redirects": [
+    {
+      "source": "/docs/cloud/dbt-cloud-ide",
+      "destination": "/docs/cloud/dbt-cloud-ide/develop-in-the-cloud",
+      "permanent": true
+    },
     {
       "source": "/docs/core/installation",
       "destination": "/docs/core/installation-overview",
       "permanent": true
-
     },
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