[SDP] PipelinesHandler + DatasetManager

Author: jaceklaskowski

docs/declarative-pipelines/DatasetManager.md

@@ -1,6 +1,8 @@
 # DatasetManager
 
-`DatasetManager` is a global manager to [materialize datasets](#materializeDatasets) (tables and persistent views).
+`DatasetManager` is a global manager to [materialize datasets](#materializeDatasets) (tables and persistent views) right after a [pipeline update](PipelineExecution.md#startPipeline).
+
+![DatasetManager](./images/DatasetManager.png)
 
 !!! note ""
     **Materialization** is a process of publishing tables and persistent views to session [TableCatalog](../connector/catalog/TableCatalog.md) and [SessionCatalog](../SessionCatalog.md), for tables and persistent views, respectively.

docs/declarative-pipelines/PipelinesHandler.md

@@ -8,7 +8,7 @@ subtitle: Spark Connect Endpoint
 
 `PipelinesHandler` acts as a bridge between Python execution environment of [Spark Declarative Pipelines](index.md) and [Spark Connect Server]({{ book.spark_connect }}/server/) (where pipeline execution happens).
 
-![PipelinesHandler](./images/spark-sql-sdp-PipelinesHandler.png)
+![PipelinesHandler](./images/PipelinesHandler.png)
 
 ## Handle Pipelines Command { #handlePipelinesCommand }