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Posted to commits@devlake.apache.org by ma...@apache.org on 2022/07/22 01:41:28 UTC

[incubator-devlake] branch main updated: fix: improve README.md (#2558)

This is an automated email from the ASF dual-hosted git repository.

mappjzc pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/incubator-devlake.git


The following commit(s) were added to refs/heads/main by this push:
     new 9a24fbe3 fix: improve README.md (#2558)
9a24fbe3 is described below

commit 9a24fbe35245650fd2467aea777502c16251a959
Author: Prasurjya Pran Borah <96...@users.noreply.github.com>
AuthorDate: Fri Jul 22 07:11:24 2022 +0530

    fix: improve README.md (#2558)
    
    abbreviation elaborated for better readability: ETL --> ETL (Extract, Transform, Load)
    typo fixed: instruction --> instructions, dahsboards --> dashboards
    
    Co-authored-by: Klesh Wong <zh...@merico.dev>
---
 README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/README.md b/README.md
index d6143403..ddb5a174 100644
--- a/README.md
+++ b/README.md
@@ -24,12 +24,12 @@ Apache DevLake is designed for developer teams looking to make better sense of t
 
 1. Collect DevOps data across the entire Software Development Life Cycle (SDLC) and connect the siloed data with a standard [data model](https://devlake.apache.org/docs/DataModels/DevLakeDomainLayerSchema).
 2. Visualize out-of-the-box engineering [metrics](https://devlake.apache.org/docs/EngineeringMetrics) in a series of use-case driven dashboards.
-3. Easily extend DevLake to support your data sources, metrics, and dashboards with a flexible [framework](https://devlake.apache.org/docs/Overview/Architecture) for data collection and ETL.
+3. Easily extend DevLake to support your data sources, metrics, and dashboards with a flexible [framework](https://devlake.apache.org/docs/Overview/Architecture) for data collection and ETL (Extract, Transform, Load).
 
 
 ## 🤓 How do I use DevLake?
 ### 1. Set up DevLake
-You can set up Apache DevLake by following our step-by step instruction for [Install via Docker Compose](https://devlake.apache.org/docs/QuickStart/DockerComposeSetup) or [Install via Kubernetes](https://devlake.apache.org/docs/QuickStart/KubernetesSetup). Please ask community if you get stuck at any point. 
+You can set up Apache DevLake by following our step-by step instructions for [Install via Docker Compose](https://devlake.apache.org/docs/QuickStart/DockerComposeSetup) or [Install via Kubernetes](https://devlake.apache.org/docs/QuickStart/KubernetesSetup). Please ask community if you get stuck at any point. 
 
 ### 2. Create a Blueprint
 The DevLake Configuration UI will guide you through the process (a Blueprint) to define the data connections, data scope, transformation and sync frequency of the data you wish to collect.
@@ -46,7 +46,7 @@ Once the first run of the Blueprint is completed, you can view the corresponding
 
 ![img](img/userflow3.png)
 
-### 5. Customize the dahsboards with SQL
+### 5. Customize the dashboards with SQL
 If the pre-built dashboards are limited for your use cases, you can always customize or create your own metrics or dashboards with SQL.
 
 ![img](img/userflow4.png)