Update quickstart instructions
@@ -15,13 +15,13 @@ This repository contains the complete source code to be able to build DataHub's
## Quickstart
1. Install [docker](https://docs.docker.com/install/) and [docker-compose](https://docs.docker.com/compose/install/). Make sure to configure Docker to allocate enough hardware resources for Docker engine. Tested & confirmed config: 4 CPUs, 8GB RAM, 2GB Swap area.
-2. Clone this repo.
-3. Open Docker either from the command line or the Desktop app and ensure it is up and running then `cd` into the cloned `datahub` repo.
+2. Open Docker either from the command line or the Desktop app and ensure it is up and running.
+3. Clone this repo and `cd` into the root directory for the cloned repository.
4. Run below command to download and run all Docker containers in your local:
```
cd docker/quickstart && docker-compose pull && docker-compose up --build
```
- This step takes long time and it might be hard to figure out when DataHub is fully up. You can refer to [this guide](https://github.com/linkedin/datahub/blob/master/docs/debugging.md#how-can-i-confirm-if-all-docker-containers-are-running-as-expected-after-a-quickstart) to confirm DataHub is up and running.
+ This step takes long time and it might be hard to figure out when DataHub is fully up. You can refer to [this guide](https://github.com/linkedin/datahub/blob/master/docs/debugging.md#how-can-i-confirm-if-all-docker-containers-are-running-as-expected-after-a-quickstart) to verify if DataHub is up and running.
5. At this point, you should be able to start `DataHub` by opening [http://localhost:9001](http://localhost:9001) in your browser. You can sign in using `datahub` as both username and password. However, there is no data just yet.
6. To ingest [provided](https://github.com/linkedin/datahub/blob/master/metadata-ingestion/mce-cli/bootstrap_mce.dat) sample data to DataHub, switch to a new terminal, `cd` into the cloned `datahub` repo, and run below command:
```
