Update data_platform_with_deep_indexed_data_and_staking_reports.md

data_platform_with_deep_indexed_data_and_staking_reports.md

@@ -209,36 +209,20 @@ We suggest proposal with 1 milestone to:
 ### Milestone 1 — Forked Superset with indexed data
 
 - **Estimated duration:** 1.5 month
-- **FTE:** 200 FTE hours [100 USD/hr]
+- **FTE:** 3.5
 - **Costs:** 20,000 USD
 
 | Number | Deliverable | Specification |
 | --- | --- | --- |
 | 0a. | License | Apache 2.0 |
-| 0b. | Documentation | We will provide a documentation page about how to 
-- self-host indexer
-- how to setup airflow
-- how to connect it with DWH
-- how to setup DWH
-- how to setup UI (BI tool) |
+| 0b. | Documentation | We will provide a documentation page about how to launch docker’s files for ETL (indexer + orchestration), DWH connection, launching UI (BI tool). |
 | 0c. | Testing and Testing Guide | Core functions will be fully covered by comprehensive unit tests to ensure functionality and robustness. In the guide, we will describe how to run these tests. |
 | 0d. | Docker | We will provide a Dockerfile(s) that can be used to run indexer locally, set up data base (DWH), and run BI. |
-| 1. | ETL component development | We already develop Mbelt, so this step is for:
-- deploy indexer for public data platform
-- develop the airflow DAG to run data pipeline
-- start to write data to DWH |
-| 2. | Public data in DWH | We has public project in bigQ already, so we need:
-- make Polkadot/Kusama/Moonbeam/Moonriver data public
-- provide test for pipeline
-- publish SLI/SLO dashboard of refreshing the data
-- Staking data marts development and publishing |
-| 3. | Forking Superset | - Diving into superset’s arhcitecture of creating new functions etc.
-- Modifying Sign In page, creating additional actions in controllers
-- Main page modifications
-- Dashboard tab modification 
-- Charts tab modification 
-- SQL lab tab modification 
-- User’s settings modification  |
+| 1. | Develop of ETL component  | The result of developing ETL component contains the docker with Mbelt (indexer) and Airflow with DAGs to write indexer’s output into DWH (data base). |
+| 2. | Publish DWH data | Our goal for publishing data is: providing raw (indexer’s data) data into public bigQ project with the ability to query and use this data for public users. The chains are Polkadot, Kusama, Moonbeam, Moonriver.
+We would also provide reports about staking on top of raw data in chains above. 
+The additional result is SLI/SLO dashboard of ETL process to provide more transparency for users. |
+| 3. | Forking Superset | Forking Superset will allow us to modify sign-in page to provide new users to join. We will make some changes on UI side to improve user’s experience as well. |
 
 ## **Future plans**
 
@@ -259,3 +243,7 @@ Not applicable****
 **How did you hear about the Grants Program?** 
 
 Web3 Foundation Website and previous grants: [Multiblockchain ETL](https://github.com/w3f/General-Grants-Program/blob/master/grants/speculative/Multiblockchain%20ETL.md)
+
+**How did you hear about the Grants Program?** 
+
+Web3 Foundation Website and previous grants: [Multiblockchain ETL](https://github.com/w3f/General-Grants-Program/blob/master/grants/speculative/Multiblockchain%20ETL.md)