Address review comments

Author: shubhamjagtap639

docs/lineage/prefect.md

@@ -8,13 +8,13 @@ DataHub supports integration of
 
 ## What is Prefect Datahub Block?
 
-Blocks are primitive within Prefect that enable the storage of configuration and provide an interface for interacting with external systems. We integrated [prefect-datahub](https://prefecthq.github.io/prefect-datahub/) block which use [Datahub Rest](../../metadata-ingestion/sink_docs/datahub.md#datahub-rest) emitter to emit metadata events while running prefect flow.
+Blocks are primitive within Prefect that enable the storage of configuration and provide an interface for interacting with external systems. We integrated `prefect-datahub` block which use [Datahub Rest](../../metadata-ingestion/sink_docs/datahub.md#datahub-rest) emitter to emit metadata events while running prefect flow.
 
 ## Prerequisites to use Prefect Datahub Block
 
 1. You need to use either Prefect Cloud (recommended) or the self hosted Prefect server.
-2. Refer [Cloud Quickstart](https://docs.prefect.io/2.10.13/cloud/cloud-quickstart/) to setup Prefect Cloud.
-3. Refer [Host Prefect server](https://docs.prefect.io/2.10.13/host/) to setup self hosted Prefect server.
+2. Refer [Cloud Quickstart](https://docs.prefect.io/latest/getting-started/quickstart/) to setup Prefect Cloud.
+3. Refer [Host Prefect server](https://docs.prefect.io/latest/guides/host/) to setup self hosted Prefect server.
 4. Make sure the Prefect api url is set correctly. You can check it by running below command:
 ```shell
 prefect profile inspect
@@ -24,7 +24,93 @@ prefect profile inspect
 
 ## Setup
 
-For setup details please refer [prefect-datahub](https://prefecthq.github.io/prefect-datahub/).
+### Installation
+
+Install `prefect-datahub` with `pip`:
+
+```shell
+pip install 'prefect-datahub'
+```
+
+Requires an installation of Python 3.7+.
+
+### Saving configurations to a block
+
+This is a one-time activity, where you can save the configuration on the [Prefect block document store](https://docs.prefect.io/latest/concepts/blocks/#saving-blocks).
+While saving you can provide below configurations. Default value will get set if not provided while saving the configuration to block.
+
+Config | Type | Default | Description
+--- | --- | --- | ---
+datahub_rest_url | `str` | *http://localhost:8080* | DataHub GMS REST URL
+env | `str` | *PROD* | The environment that all assets produced by this orchestrator belong to. For more detail and possible values refer [here](https://datahubproject.io/docs/graphql/enums/#fabrictype).
+platform_instance | `str` | *None* | The instance of the platform that all assets produced by this recipe belong to. For more detail please refer [here](https://datahubproject.io/docs/platform-instances/).
+
+```python
+from prefect_datahub.datahub_emitter import DatahubEmitter
+DatahubEmitter(
+    datahub_rest_url="http://localhost:8080",
+    env="PROD",
+    platform_instance="local_prefect"
+).save("BLOCK-NAME-PLACEHOLDER")
+```
+
+Congrats! You can now load the saved block to use your configurations in your Flow code:
+ 
+```python
+from prefect_datahub.datahub_emitter import DatahubEmitter
+DatahubEmitter.load("BLOCK-NAME-PLACEHOLDER")
+```
+
+!!! info "Registering blocks"
+
+    Register blocks in this module to
+    [view and edit them](https://docs.prefect.io/ui/blocks/)
+    on Prefect Cloud:
+
+    ```bash
+    prefect block register -m prefect_datahub
+    ```
+
+### Load the saved block in prefect workflows
+
+After installing `prefect-datahub` and [saving the configution](#saving-configurations-to-a-block), you can easily use it within your prefect workflows to help you emit metadata event as show below!
+
+```python
+from prefect import flow, task
+from prefect_datahub.dataset import Dataset
+from prefect_datahub.datahub_emitter import DatahubEmitter
+
+datahub_emitter = DatahubEmitter.load("MY_BLOCK_NAME")
+
+@task(name="Transform", description="Transform the data")
+def transform(data):
+    data = data.split(" ")
+    datahub_emitter.add_task(
+        inputs=[Dataset("snowflake", "mydb.schema.tableA")],
+        outputs=[Dataset("snowflake", "mydb.schema.tableC")],
+    )
+    return data
+
+@flow(name="ETL flow", description="Extract transform load flow")
+def etl():
+    data = transform("This is data")
+    datahub_emitter.emit_flow()
+```
+
+**Note**: To emit the tasks, user compulsory need to emit flow. Otherwise nothing will get emit.
+
+## Concept mapping
+
+Prefect concepts are documented [here](https://docs.prefect.io/latest/concepts/), and datahub concepts are documented [here](https://datahubproject.io/docs/what-is-datahub/datahub-concepts).
+
+Prefect Concept | DataHub Concept
+--- | ---
+[Flow](https://docs.prefect.io/latest/concepts/flows/) | [DataFlow](https://datahubproject.io/docs/generated/metamodel/entities/dataflow/)
+[Flow Run](https://docs.prefect.io/latest/concepts/flows/#flow-runs) | [DataProcessInstance](https://datahubproject.io/docs/generated/metamodel/entities/dataprocessinstance)
+[Task](https://docs.prefect.io/latest/concepts/tasks/) | [DataJob](https://datahubproject.io/docs/generated/metamodel/entities/datajob/)
+[Task Run](https://docs.prefect.io/latest/concepts/tasks/#tasks) | [DataProcessInstance](https://datahubproject.io/docs/generated/metamodel/entities/dataprocessinstance)
+[Task Tag](https://docs.prefect.io/latest/concepts/tasks/#tags) | [Tag](https://datahubproject.io/docs/generated/metamodel/entities/tag/)
+
 
 ## How to validate saved block and emit of metadata