Docs: Add Materialize Dekaf integration docs

site/docs/reference/Connectors/dekaf/README.md

@@ -7,4 +7,5 @@ functionality enables integrations with the Kafka ecosystem.
 ## Available Dekaf integrations
 
 - [Tinybird](/reference/Connectors/dekaf/dekaf-tinybird)
-- [StarTree](/reference/Connectors/dekaf/dekaf-startree)
+- [Materialize](/reference/Connectors/dekaf/dekaf-materialize)
+- [StarTree](/reference/Connectors/dekaf/dekaf-startree)

site/docs/reference/Connectors/dekaf/dekaf-materialize.md

@@ -0,0 +1,76 @@
+# Materialize
+
+In this guide, you'll learn how to use Materialize to ingest data from Estuary Flow.
+
+[Materialize](https://materialize.com/) is an operational data warehouse for real-time analytics that uses standard SQL
+for defining transformations and queries.
+
+## Prerequisites
+
+- An [Estuary Flow](https://dashboard.estuary.dev/register) account & collection
+- A Materialize account
+
+## Connecting Estuary Flow to Materialize
+
+1. **Create a new access token** to use for the Materialize connection. You can generate this token from the Estuary
+   Admin Dashboard.
+
+   ![Export Dekaf Access Token](https://storage.googleapis.com/estuary-marketing-strapi-uploads/uploads//Group_22_95a85083d4/Group_22_95a85083d4.png)
+
+2. In your Materialize dashboard, use the SQL shell to create a new secret and connection using the Kafka source
+   connector. Use the following SQL commands to configure the connection to Estuary Flow:
+
+   ```sql
+   CREATE
+   SECRET estuary_refresh_token AS
+     'your_generated_token_here';
+
+   CREATE
+   CONNECTION estuary_connection TO KAFKA (
+       BROKER 'dekaf.estuary.dev',
+       SECURITY PROTOCOL = 'SASL_SSL',
+       SASL MECHANISMS = 'PLAIN',
+       SASL USERNAME = '{}',
+       SASL PASSWORD = SECRET estuary_refresh_token
+   );
+
+   CREATE
+   CONNECTION csr_estuary_connection TO CONFLUENT SCHEMA REGISTRY (
+       URL 'https://dekaf.estuary.dev',
+       USERNAME = '{}',
+       PASSWORD = SECRET estuary_refresh_token
+   );
+   ```
+
+3. **Create a source in Materialize** to read from the Kafka topic. Use the following SQL command,
+   replacing `<name-of-your-flow-collection>` with the name of your collection in Estuary Flow:
+
+   ```sql
+   CREATE SOURCE materialize_source
+   FROM KAFKA CONNECTION estuary_connection (TOPIC '<name-of-your-flow-collection>')
+   FORMAT AVRO USING CONFLUENT SCHEMA REGISTRY CONNECTION csr_estuary_connection
+   ENVELOPE UPSERT;
+   ```
+
+## Creating Real-Time Views
+
+To begin analyzing the data, create a real-time view using SQL in Materialize. Here is an example query to create a
+materialized view that tracks data changes:
+
+```sql
+CREATE MATERIALIZED VIEW my_view AS
+SELECT *
+FROM materialize_source;
+```
+
+## Final Steps
+
+After configuring your source and creating the necessary views, the connection with Materialize is complete. New data
+from your Estuary Flow collection will now arrive in your Materialize source in real-time, enabling you to perform
+real-time analytics on live data streams.
+
+For more detailed information on creating materialized views and other advanced configurations, refer to
+the [Materialize documentation](https://materialize.com/docs/).
+
+By following these steps, you can leverage the full potential of Estuary Flow and Materialize for real-time data
+processing and analytics.

site/docs/reference/Connectors/dekaf/dekaf-tinybird.md

@@ -6,7 +6,7 @@ In this guide, you'll learn how to use Estuary Flow to push data streams to Tiny
 
 ## Prerequisites
 
-- An Estuary account & collection
+- An Estuary Flow account & collection
 - A Tinybird account & Workspace
 
 # Connecting Estuary Flow to Tinybird