diff --git a/website/docs/docs/build/derived-metrics.md b/website/docs/docs/build/derived-metrics.md index fc7961bbe7f..7f01736d2b3 100644 --- a/website/docs/docs/build/derived-metrics.md +++ b/website/docs/docs/build/derived-metrics.md @@ -21,7 +21,7 @@ In MetricFlow, derived metrics are metrics created by defining an expression usi | `metrics` | The list of metrics used in the derived metrics. | Required | | `alias` | Optional alias for the metric that you can use in the expr. | Optional | | `filter` | Optional filter to apply to the metric. | Optional | -| `offset_window` | Set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. | Required | +| `offset_window` | Set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. | Optional | The following displays the complete specification for derived metrics, along with an example. @@ -37,7 +37,7 @@ metrics: - name: the name of the metrics. must reference a metric you have already defined # Required alias: optional alias for the metric that you can use in the expr # Optional filter: optional filter to apply to the metric # Optional - offset_window: set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. # Required + offset_window: set the period for the offset window, such as 1 month. This will return the value of the metric one month from the metric time. # Optional ``` ## Derived metrics example diff --git a/website/docs/docs/dbt-versions/release-notes/76-Oct-2023/sl-ga.md b/website/docs/docs/dbt-versions/release-notes/76-Oct-2023/sl-ga.md index a1b59aa6ec1..9d5b91fb191 100644 --- a/website/docs/docs/dbt-versions/release-notes/76-Oct-2023/sl-ga.md +++ b/website/docs/docs/dbt-versions/release-notes/76-Oct-2023/sl-ga.md @@ -18,7 +18,7 @@ It aims to bring the best of modeling and semantics to downstream applications b - Brand new [integrations](/docs/use-dbt-semantic-layer/avail-sl-integrations) such as Tableau, Google Sheets, Hex, Mode, and Lightdash. - New [Semantic Layer APIs](/docs/dbt-cloud-apis/sl-api-overview) using GraphQL and JDBC to query metrics and build integrations. - dbt Cloud [multi-tenant regional](/docs/cloud/about-cloud/regions-ip-addresses) support for North America, EMEA, and APAC. Single-tenant support coming soon. -- Use the APIs to call an export (a way to build tables in your data platform), then access them in your preferred BI tool. Starting from dbt v1.7 or higher, you will be able to schedule exports as part of your dbt job. +- Coming soon — Schedule exports (a way to build tables in your data platform) as part of your dbt Cloud job. Use the APIs to call an export, then access them in your preferred BI tool.