Beautify README (#3068)

Author: sungchun12

README.md

@@ -1,41 +1,162 @@
-![SQLMesh logo](sqlmesh.png)
+<p align="center">
+  <img src="sqlmesh.png" alt="SQLMesh logo" width="50%" height="50%">
+</p>
 
 SQLMesh is a next-generation data transformation and modeling framework that is backwards compatible with dbt. It aims to be easy to use, correct, and efficient.
 
-SQLMesh enables data practitioners to efficiently run and deploy data transformations written in SQL or Python.
+SQLMesh enables data teams to efficiently run and deploy data transformations written in SQL or Python.
 
-Although SQLMesh will make your dbt projects more efficient, reliable, and maintainable, it is more than just a [dbt alternative](https://tobikodata.com/sqlmesh_for_dbt_1.html).
+It is more than just a [dbt alternative](https://tobikodata.com/reduce_costs_with_cron_and_partitions.html).
 
-## Select Features
-* [Semantic Understanding of SQL](https://tobikodata.com/semantic-understanding-of-sql.html)
-    * Compile time error checking (for 10 different SQL dialects!)
-    * Definitions using [simply SQL](https://sqlmesh.readthedocs.io/en/stable/concepts/models/sql_models/#sql-based-definition) (no need for redundant and confusing Jinja + YAML)
-    * [Self documenting queries](https://tobikodata.com/metadata-everywhere.html) using native SQL Comments
-* Efficiency
-    * Never builds a table [more than once](https://tobikodata.com/simplicity-or-efficiency-how-dbt-makes-you-choose.html)
-    * Partition-based [incremental models](https://tobikodata.com/correctly-loading-incremental-data-at-scale.html)
-* Confidence
-    * Plan / Apply workflow like [Terraform](https://www.terraform.io/) to understand potential impact of changes
-    * Easy to use [CI/CD bot](https://sqlmesh.readthedocs.io/en/stable/integrations/github/)
-    * Automatic [column level lineage](https://tobikodata.com/automatically-detecting-breaking-changes-in-sql-queries.html) and data contracts
-    * [Unit tests](https://tobikodata.com/we-need-even-greater-expectations.html) and audits
+<p align="center">
+  <img src="architecture_diagram.png" alt="Architecture Diagram" width="100%" height="100%">
+</p>
+
+## Core Features
+<img src="https://github.com/TobikoData/sqlmesh-public-assets/blob/main/sqlmesh_plan_mode.gif" alt="SQLMesh Plan Mode">
+
+> Get instant SQL impact analysis of your changes, whether in the CLI or in [SQLMesh Plan Mode](https://sqlmesh.readthedocs.io/en/stable/guides/ui/?h=modes#working-with-an-ide)
+
+  <details>
+  <summary><b>Virtual Data Environments</b></summary>
+      
+  * See a full diagram of how [Virtual Data Environments](https://whimsical.com/virtual-data-environments-MCT8ngSxFHict4wiL48ymz) work
+  * [Watch this video to learn more](https://www.youtube.com/watch?v=weJH3eM0rzc)
+
+  </details>
+
+  * Plan / Apply workflow like [Terraform](https://www.terraform.io/) to understand potential impact of changes
+  * Automatic [column level lineage](https://sqlmesh.readthedocs.io/en/stable/guides/ui/?h=column+lineage#lineage-module) and data contracts
+  * Easy to use [CI/CD bot](https://sqlmesh.readthedocs.io/en/stable/integrations/github/)
+
+<details>
+<summary><b>Efficiency and Testing</b></summary>
+
+Running this command will generate a unit test file in the `tests/` folder: `test_stg_payments.yaml`
+
+Runs a live query to generate the expected output of the model
+
+```bash
+sqlmesh create_test tcloud_demo.stg_payments --query tcloud_demo.seed_raw_payments "select * from tcloud_demo.seed_raw_payments limit 5" 
+
+# run the unit test
+sqlmesh test
+```
+
+```sql
+MODEL (
+  name tcloud_demo.stg_payments,
+  cron '@daily',
+  grain payment_id,
+  audits (UNIQUE_VALUES(columns = (
+      payment_id
+  )), NOT_NULL(columns = (
+      payment_id
+  )))
+);
+
+SELECT
+    id AS payment_id,
+    order_id,
+    payment_method,
+    amount / 100 AS amount, /* `amount` is currently stored in cents, so we convert it to dollars */
+    'new_column' AS new_column, /* non-breaking change example  */
+FROM tcloud_demo.seed_raw_payments
+```
+
+```yaml
+test_stg_payments:
+model: tcloud_demo.stg_payments
+inputs:
+    tcloud_demo.seed_raw_payments:
+    - id: 66
+    order_id: 58
+    payment_method: coupon
+    amount: 1800
+    - id: 27
+    order_id: 24
+    payment_method: coupon
+    amount: 2600
+    - id: 30
+    order_id: 25
+    payment_method: coupon
+    amount: 1600
+    - id: 109
+    order_id: 95
+    payment_method: coupon
+    amount: 2400
+    - id: 3
+    order_id: 3
+    payment_method: coupon
+    amount: 100
+outputs:
+    query:
+    - payment_id: 66
+    order_id: 58
+    payment_method: coupon
+    amount: 18.0
+    new_column: new_column
+    - payment_id: 27
+    order_id: 24
+    payment_method: coupon
+    amount: 26.0
+    new_column: new_column
+    - payment_id: 30
+    order_id: 25
+    payment_method: coupon
+    amount: 16.0
+    new_column: new_column
+    - payment_id: 109
+    order_id: 95
+    payment_method: coupon
+    amount: 24.0
+    new_column: new_column
+    - payment_id: 3
+    order_id: 3
+    payment_method: coupon
+    amount: 1.0
+    new_column: new_column
+```
+</details>
+
+* Never builds a table [more than once](https://tobikodata.com/simplicity-or-efficiency-how-dbt-makes-you-choose.html)
+* Partition-based [incremental models](https://tobikodata.com/correctly-loading-incremental-data-at-scale.html)
+* [Unit tests](https://tobikodata.com/we-need-even-greater-expectations.html) and audits
+
+<details>
+<summary><b>Take SQL Anywhere</b></summary>
+Write SQL in any dialect and SQLMesh will transpile it to your target SQL dialect on the fly before sending it to the warehouse.
+<img src="transpile_example.png" alt="Transpile Example">
+</details>
+
+* Compile time error checking and can transpile [10+ different SQL dialects](https://sqlmesh.readthedocs.io/en/stable/integrations/overview/#execution-engines)
+* Definitions using [simply SQL](https://sqlmesh.readthedocs.io/en/stable/concepts/models/sql_models/#sql-based-definition) (no need for redundant and confusing Jinja + YAML)
+* [Self documenting queries](https://tobikodata.com/metadata-everywhere.html) using native SQL Comments
 
 For more information, check out the [website](https://sqlmesh.com) and [documentation](https://sqlmesh.readthedocs.io/en/stable/).
 
 ## Getting Started
 Install SQLMesh through [pypi](https://pypi.org/project/sqlmesh/) by running:
 
-```pip install sqlmesh```
+```bash
+mkdir sqlmesh-example
+cd sqlmesh-example
+python -m venv .env
+source .env/bin/activate
+pip install sqlmesh
+sqlmesh init duckdb # get started right away with a local duckdb instance
+```
 
-Follow the [tutorial](https://sqlmesh.readthedocs.io/en/stable/quick_start/) to learn how to use SQLMesh.
+Follow the [quickstart guide](https://sqlmesh.readthedocs.io/en/stable/quickstart/cli/#1-create-the-sqlmesh-project) to learn how to use SQLMesh. You already have a head start!
 
-## Join our community
-We'd love to join you on your data journey. Connect with us in the following ways:
+## Join Our Community
+We want to ship better data with you. Connect with us in the following ways:
 
-* Join the [Tobiko Slack community](https://tobikodata.com/slack) to ask questions, or just to say hi!
-* File an issue on our [GitHub](https://github.com/TobikoData/sqlmesh/issues/new).
-* Send us an email at [hello@tobikodata.com](mailto:hello@tobikodata.com) with your questions or feedback.
+* Join the [Tobiko Slack Community](https://tobikodata.com/slack) to ask questions, or just to say hi!
+* File an issue on our [GitHub](https://github.com/TobikoData/sqlmesh/issues/new)
+* Send us an email at [hello@tobikodata.com](mailto:hello@tobikodata.com) with your questions or feedback
+* Read our [blog](https://tobikodata.com/blog)
 
 ## Contribution
-Contributions in the form of issues or pull requests are greatly appreciated. [Read more](https://sqlmesh.readthedocs.io/en/stable/development/) about how to develop for SQLMesh.
+Contributions in the form of issues or pull requests are greatly appreciated. [Read more](https://sqlmesh.readthedocs.io/en/stable/development/) on how to contribute to SQLMesh open source.