Updated tutorial to reflect github repo

docs/modules/guides/pages/apis-db-kafka.adoc

@@ -60,6 +60,10 @@ If you run `docker ps`, you should see a collection of Docker containers now run
 | {short-product-name}
 | The core {short-product-name} server, which provides our UI, and runs all our integration for us
 
+| management-center
+| {short-product-name}
+| The Management Center, for monitoring and managing {short-product-name}
+
 | films-api
 | Demo
 | A REST API, which exposes information about films.  We also publish a Protobuf message to Kafka from here
@@ -78,33 +82,29 @@ If you run `docker ps`, you should see a collection of Docker containers now run
 * xref:deploying:production-deployments.adoc[Deploying {short-product-name} without the demo projects]
 * https://github.com/hazelcast/hazelcast-flow-public-demos/tree/main/films-demo[Demo project source code, on GitHub]
 
-== Create a project
-First, we'll create a project for {short-product-name} to hold the connection details of our data sources, and schemas. 
+== View the project
+An empty project named *films* has been created for {short-product-name} to hold the connection details of our data sources, and schemas. 
 The project is a https://taxilang.org[Taxi] project which gets edited locally, then checked into Git once you're ready to go to production.
 
  - From the sidebar, click http://localhost:9021/projects[Projects]
- - Click *Add Project* and add a Local Disk project
- - For the **Project Path**, enter `demo` 
-   - The server will tell you it can't find an existing project, and let you create one - click **Create new project**
- - Enter the package co-ordinates as follows (this is similar to npm, maven, etc.)
-
+ - You will see the films project listed
+ - Click on the project to view the details
+
 
 |===
 | Field | Value
 
 | *Organisation*
 | `com.hazelflix`
 
-| *Name*
-| `demo`
 
 | *Version*
-| `1.0.0`
+| `0.1.0`
 |===
 
- - Click *Create*
+As we progress through this tutorial, we'll be adding connections to our database, REST API and Kafka topic to this project.   You can view the taxi schemas that {short-product-name} generates in this project.
+
 
-A new, empty Taxi project is created, and you'll be taken to the Project list.
 
 == Connect a database table
 
@@ -122,7 +122,7 @@ To get started, click on *Data sources* on the side bar, and click *Add a data s
 
 First, we need to tell {short-product-name} how to connect to the database.
 
-* From the project drop-down, select the "Demo" project we just created
+* From the project drop-down, select the "films" project 
 * Select *Database Table* as the data source to add
 * For Connection, select *Add a new connection...*
 * A pop-up window appears, allowing you to create a connection to our database
@@ -188,7 +188,7 @@ To import the schema:
 | `film`
 
 | Default namespace
-| `com.hazelflix.demo.filmsdatabase`
+| `com.hazelflix.films.filmsdatabase`
 |===
 
 Namespaces are used to help us group related content together, like packages in Java or namespaces in C# and Typescript.
@@ -221,12 +221,11 @@ be created. For now, the defaults that have been assigned are good enough.
 
 {short-product-name} will create the necessary schema files in a local project.
 
-{short-product-name} also creates a series of https://taxilang.org[Taxi] schema files that contain the schemas we've just imported. You can explore these files locally. If you named your project `demo`, all the project
-  files are in a directory called `demo` next to where you launched {short-product-name} from.
+{short-product-name} also creates a series of https://taxilang.org[Taxi] schema files that contain the schemas we've just imported. You can explore these files locally.  You will find them in the 'taxi/src' directory.
 
 
 ----
-cd demo/
+cd taxi/
 ----
 
 Taxi ships a great https://marketplace.visualstudio.com/items?itemName=taxi-lang.taxi-language-server[VS Code plugin] which provides click-to-navigate, syntax highlighting, autocompletion and more.
@@ -248,7 +247,7 @@ We'll use the UI of {short-product-name} to import a Swagger definition of our R
 * Click *Data Sources* on the sidebar
 * Once again, click *Add a data source*
 * Alternatively, navigate to http://localhost:9021/data-source-manager/add
-* Select the demo project as the target project
+* Select the films project as the target project
 * From the drop-down list, select *Swagger / Open API* as the type of schema to import
 * For the Swagger Source, select a URL
 
@@ -665,9 +664,12 @@ has generated during this tutorial.
 | `workspace.conf`
 | The config file that lists all the projects - including the one we created. It defines where to read and write the schema files {short-product-name} created in the background.
 
-| `demo/`
+| `taxi/`
 | The schema project that {short-product-name} was writing schemas to
 
-| `demo/orbital/connections.conf`
+| `taxi/config/connections.conf`
 | A connections file defining the database and Kafka connections you imported in the UI.
+
+| `taxi/src/`
+| The Taxi schemas that {short-product-name} generated for you.  These are the schemas that describe the data you've been working with.
 |===

docs/modules/guides/pages/index.adoc

@@ -8,8 +8,8 @@ amazing integration projects.
 == Quick Links
 
 * xref:deploying:development-deployments.adoc[Development Quickstart] - Start here
-* xref:apis-db-kafka.adoc[Connect APIs, a database and Kafka] - Deploy {spn} locally, then integrate a database, a REST API, and Kafka. Ideal for beginners
-* xref:compose.adoc[Compose APIs and a Database] - Exposing a Backend for Frontend (BFF) that links data between a database and several APIs
+* xref:apis-db-kafka.adoc[Connect APIs, a database and Kafka] - Deploy {spn} locally, then integrate a database, a REST API, and Kafka. Ideal for beginners 
+//* xref:compose.adoc[Compose APIs and a Database] - Exposing a Backend for Frontend (BFF) that links data between a database and several APIs
 * xref:work-with-xml.adoc[Work with XML and JSON] - Combine data from XML and JSON data sources
 * xref:streaming-data.adoc[Stream data] - Join and enrich Kafka streams to deliver bespoke data feeds
 * xref:gen-taxi-from-code.adoc[Generate Taxi from code] - Generate Taxi schemas directly from your application code