OSS clean up (#3)

* Delete src/.DS_Store

* updated docs link in README

* remove unused import

* extend get update_id logic to increase chance of retrieval

* fix cdc_snapshot file name typo

* remove unused sample resource files

* add backtick to sink name

Author: haillew

README.md

@@ -16,7 +16,7 @@ The Framework is designed for simplicity, performance and alignment to the Datab
 
 ## Documentation
 
-Please refer to the [documentation](./docs/_build/html/index.html) for further details and an explanation of the samples.
+Please refer to the [documentation](https://databricks-solutions.github.io/lakeflow_framework/) for further details and an explanation of the samples.
 The documentation needs to be deployed as HTML or Markdown within your org before it can be used.
 
 ## How to get help

docs/source/index.rst

@@ -4,12 +4,18 @@
    contain the root `toctree` directive.
 
 Lakeflow Framework documentation
-===========================
+=================================
 
-Add your content using ``reStructuredText`` syntax. See the
-`reStructuredText <https://www.sphinx-doc.org/en/master/usage/restructuredtext/index.html>`_
-documentation for details.
+The Lakeflow Framework is a metadata-driven data engineering framework built for Databricks. It accelerates and simplifies the deployment of Spark Declarative Pipelines (SDP) while supporting your entire software development lifecycle.
 
+**Key Capabilities:**
+
+* Build robust data pipelines using a configuration-driven, Lego-block approach
+* Support batch and streaming workloads across the medallion architecture (Bronze, Silver, Gold)
+* Deploy seamlessly with Databricks Asset Bundles (DABS)—no wheel files or control tables required
+* Extend and maintain easily as your data platform evolves
+
+This documentation covers everything from getting started to advanced orchestration patterns. Explore the sections below to begin building reliable, maintainable data pipelines.
 
 .. toctree::
    :maxdepth: 4