diff --git a/docs/accessing-data/connecting.mdx b/docs/accessing-data/connecting.mdx
index 44d87d3ce..98e66106a 100644
--- a/docs/accessing-data/connecting.mdx
+++ b/docs/accessing-data/connecting.mdx
@@ -43,13 +43,17 @@ This query will return the XLM balances for all Stellar wallet addresses, ordere
 
 There are multiple [BigQuery API Client Libraries](https://cloud.google.com/bigquery/docs/reference/libraries) available.
 
-The following example uses Python to access the Hubble dataset.
+The following example uses Python to access the Hubble dataset. Use [this guide](https://cloud.google.com/python/docs/setup) for help setting up a python development environment.
 
 Install the client library locally, and configure your environment to use your Google Cloud Project:
 
 <CodeExample>
 
 ```bash
+# verify python version
+python3 --version
+# if you do not have pip, install it
+python -m pip install --upgrade pip
 pip install --upgrade google-cloud-bigquery
 gcloud config set project PROJECT_ID
 ```
@@ -79,7 +83,7 @@ for table in tables:
 
 </CodeExample>
 
-Run the example below to show how to run a query and print the results:
+Run the example below to run a query and print the results:
 
 <CodeExample>
 
@@ -129,6 +133,6 @@ To connect Hubble as a data source:
 
 And you're connected!
 
-General information about Looker Studio can be found [here](https://support.google.com/looker-studio/?hl=en#topic=6267740).
+General information about Looker Studio can be found [here](https://support.google.com/looker-studio/).
 
 General information about connecting data sources can be found [here](https://support.google.com/looker-studio/topic/6370331?hl=en&ref_topic=7441382&sjid=14945902445646860578-NA).
diff --git a/docs/accessing-data/optimizing-queries.mdx b/docs/accessing-data/optimizing-queries.mdx
index 1e7206f91..2b5c68676 100644
--- a/docs/accessing-data/optimizing-queries.mdx
+++ b/docs/accessing-data/optimizing-queries.mdx
@@ -46,7 +46,8 @@ select datetime_trunc(batch_run_date, month) as `month`,
   type_string,
   count(id) as count_operations
 from `crypto-stellar.crypto_stellar.history_operations`
-where batch_run_date >= '2023-01-01T00:00:00'
+-- batch_run_date is a datetime object, formatted as ISO 8601
+where batch_run_date > '2023-01-01T00:00:00'
 group by `month`,
   type_string
 order by `month`
diff --git a/docs/accessing-data/overview.mdx b/docs/accessing-data/overview.mdx
index fd9e0e048..dbc715ee8 100644
--- a/docs/accessing-data/overview.mdx
+++ b/docs/accessing-data/overview.mdx
@@ -5,9 +5,9 @@ sidebar_position: 0
 
 ## What is Hubble?
 
-Hubble is an open-source, publicly available dataset that provides a complete historical record of the Stellar network. Similar to Horizon, it ingests and presents the data produced by the Stellar network in a format that is easier to consume than the performance-oriented data representations used by Stellar Core. The dataset is hosted on BigQuery–meaning it is suitable for large, analytic workloads, historical data retrieval and complex data aggregation. **Hubble should not be used for real-time data retrieval and cannot submit transactions to the network.**
+Hubble is an open-source, publicly available dataset that provides a complete historical record of the Stellar network. Similar to Horizon, it ingests and presents the data produced by the Stellar network in a format that is easier to consume than the performance-oriented data representations used by Stellar Core. The dataset is hosted on BigQuery–meaning it is suitable for large, analytic workloads, historical data retrieval and complex data aggregation. **Hubble should not be used for real-time data retrieval and cannot submit transactions to the network.** For real time use cases, we recommend [running an API server](/docs/run-api-server).
 
-This guide describes when to use Hubble and how to connect. For more information regarding underlying data structures, queries and examples, please refer to the Hubble Technical Docs under APIs.
+This guide describes when to use Hubble and how to connect. For more information regarding underlying data structures, queries and examples, please refer to [Viewing Metadata](/docs/accessing-data/viewing-metadata) and [Optimizing Queries](/docs/accessing-data/optimizing-queries).
 
 ## Why Use Hubble?