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@@ -0,0 +1,37 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+DataLake-Handler MS
+==============
+
+**DataLake-Handler MS** is a software component of ONAP that can systematically persist the events from DMaaP into supported Big Data storage systems. 
+It has a Admin UI, where a system administrator configures which Topics to be monitored, and to which data storage to store the data. 
+It is also used to manage the settings of the storage and associated data analytics tool. 
+The second part is the Feeder, which does the data transfer work and is horizontal scalable. 
+
+.. image:: DL-DES.PNG
+
+DataLake-Handler MS overview and functions
+------------------------------------------
+
+.. toctree::
+    :maxdepth: 1
+
+    ./overview.rst
+
+DataLake-Handler MS Installation Steps and Configurations
+---------------------------------------------------------
+
+.. toctree::
+    :maxdepth: 1
+
+    ./installation.rst
+
+DataLake-Handler MS Admin UI User Guide
+---------------------------------------
+
+.. toctree::
+    :maxdepth: 1
+
+    ./userguide.rst 
diff --git a/docs/sections/services/datalake-handler/installation.rst b/docs/sections/services/datalake-handler/installation.rst
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+Installation
+============
+
+DataLake handler microservice can be deployed using ... (TODO) 
+\ No newline at end of file
diff --git a/docs/sections/services/datalake-handler/overview.rst b/docs/sections/services/datalake-handler/overview.rst
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+.. This work is licensed under a Creative Commons Attribution 4.0
+   International License. http://creativecommons.org/licenses/by/4.0
+   
+.. _docs_Datalake_Handler_MS:
+
+Architecture
+------------
+
+
+Background
+~~~~~~~~~~
+There are large amount of data flowing among ONAP components, mostly via DMaaP and Web Services. 
+For example, all events/feed collected by DCAE collectors go through DMaaP. 
+DMaaP is backed by Kafka, which is a system for Publish-Subscribe, 
+where data is not meant to be permanent and gets deleted after certain retention period. 
+Kafka is not a database, means that data there is not for query.
+Though some components may store processed result into their local databases, most of the raw data will eventually lost. 
+We should provide a systematic way to store these raw data, and even the processed result,
+which will serve as the source for data analytics and machine learning, providing insight to the network operation.
+
+
+Relations with Other ONAP Components
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+The architecture below depicts the DataLake MS as a part of ONAP. Only the relevant interactions and components are shown.
+
+.. image:: ./arch.PNG
+
+Note that not all data storage systems in the picture are supported. In R6, the following storage are supported:
+  - MongoDB
+  - Couchbase
+  - Elasticsearch and Kibana
+  - HDFS
+Depending on demands, new systems may be added to the supported list. In the following we use the term database for the storage, 
+even though HDFS is a file system (but with simple settings, it can be treats as a database, e.g. Hive.)
+
+Note that once the data is stored in databases, other ONAP components and systems will directly query data from the databases, 
+without interacting with DataLake Handler.
+
+Description
+~~~~~~~~~~~
+DataLate Handler's main function is to monitor and persist data flow through DMaaP. The databases are outside of ONAP scope, 
+since the data is expected to be huge, and a database may be a complicated cluster consisting of thousand of nodes.
+
+Admin UI
+~~~~~~~~
+A system administrator uses DataLake Admin UI to:
+  - Configure external database connections, such as host, port, login.
+  - Configure which Topics to monitor, which databases to store the data for each Topic.
+  - Pre-configured 3rd Party Tools dashboards and templates.
+
+This UI tool is used to manage all the Dayalake settings stored in MariaDB. Here is the database schema:
+
+.. image:: ./dbschema.PNG
+
+Feeder
+~~~~~~
+Architecture
+.. image:: ./feeder-arch.PNG
+
+Features
+
+   - Read data directly from Kafka for performance.
+   - Support for pluggable databases. To add a new database, we only need to implement its corrosponding service.
+   - Support REST API for inter-component communications. Besides managing DatAlake settings in MariaDB, 
+   Admin UI also use this API to start/stop Feeder, query Feeder status and statistics.
+   - Use MariaDB to store settings.
+   - Support data processing features. Before persisting data, data can be massaged in Feeder. 
+   Currently two features are implemented: Correlate Cleared Message (in org.onap.datalake.feeder.service.db.ElasticsearchService) 
+   and Flatten JSON Array (org.onap.datalake.feeder.service.StoreService).    
+   - Connection to Kafka and DBs are secured
+
+
+Links
+~~~~~
+   - DataLake Development Environment Setup https://wiki.onap.org/display/DW/DataLake+Development+Environment+Setup
+   - Source Code https://gerrit.onap.org/r/gitweb?p=dcaegen2/services.git;a=tree;f=components/datalake-handler;hb=HEAD
diff --git a/docs/sections/services/datalake-handler/userguide.rst b/docs/sections/services/datalake-handler/userguide.rst
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index 00000000..4a0957f5
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+Admin UI User Guide
+---------------------
+ 
+To be filled.
diff --git a/docs/sections/services/son-handler/son_handler_overview.rst b/docs/sections/services/son-handler/son_handler_overview.rst
index 23abbaa7..41dbd844 100644
--- a/docs/sections/services/son-handler/son_handler_overview.rst
+++ b/docs/sections/services/son-handler/son_handler_overview.rst
@@ -24,7 +24,7 @@ The core logic is implemented as 3 threads - main thread, child thread(s) for ha
 (b) Autonomously taking actions for ANR updates
 (c) Preparing the message contents required by SDN-R to re-configure the RAN nodes with PCI/ANR updates
 
-The logic may not be 100% fool-proof (i.e., cover all possible scenarios and boundary-counditions as in real field deployments), as well as the most efficient one. An attempt has been made to balance the usefulness for a PoC versus the complexity of handling all possible scenarios. It is intended to provide a good base for the community/users to enhance it further as required.
+The logic may not be 100% fool-proof (i.e., cover all possible scenarios and boundary-conditions as in real field deployments), as well as the most efficient one. An attempt has been made to balance the usefulness for a PoC versus the complexity of handling all possible scenarios. It is intended to provide a good base for the community/users to enhance it further as required.
 
 The details of the state machines of all the threads in the core logic are available in https://wiki.onap.org/pages/viewpage.action?pageId=56131985.