DOC-5599 Move real-time data pipeline tutorial from Streaming Learning to Astra Streaming (#156)

* move files from streaming

* change file name

* revise architecture section

* add note about difficulty level

Author: aimurphy

modules/ROOT/attachments/web-clicks-website.zip

@@ -1,5 +1,6 @@
 .Get started
 * xref:getting-started:index.adoc[]
+* xref:getting-started:real-time-data-pipelines-tutorial.adoc[]
 
 .Development
 * xref:developing:configure-pulsar-env.adoc[]

modules/ROOT/images/real-time-data-pipeline.png

@@ -1,10 +1,9 @@
 = {product} quickstart
-:navtitle: Get started
 
 {product} is a serverless data streaming and event stream processing service integrated in the {astra-ui} and powered by {pulsar-reg}.
 Using {product}, you can create {pulsar-short} instances, manage streaming clusters, scale across cloud regions, and manage {pulsar-short} resources such as topics, connectors, functions and subscriptions.
 
-This quickstart demonstrates how to create and use a streaming tenant running {pulsar-short}.
+This quickstart explains how to create and use a streaming tenant running {pulsar-short}.
 
 == Prerequisites
 
@@ -89,8 +88,9 @@ Disregard the https://pulsar.apache.org/docs/concepts-messaging/#partitioned-top
 == Next steps
 
 Your new topic is ready to produce and consume messages.
-There are several different ways to do this:
+There are several ways to do this, for example:
 
 * xref:developing:produce-consume-astra-portal.adoc[{astra-ui}]: Use {product}'s **Try Me** feature in the {astra-ui}.
 * xref:developing:produce-consume-pulsar-client.adoc[{pulsar-short} Client]: Use the {pulsar-short} CLI to interact with the topic.
-* xref:developing:clients/index.adoc[Runtime Clients]: Create a client application that interacts with {pulsar-short}.
+* xref:developing:clients/index.adoc[Runtime Clients]: Create a client application that interacts with {pulsar-short}.
+* xref:getting-started:real-time-data-pipelines-tutorial.adoc[Third-party integrations]: Follow a step-by-step tutorial that shows you how to build real-time data pipelines that use {product}.