April 2023 product docs updates

Hello from the dbt Docs team: @mirnawong1, @matthewshaver, @nghi-ly, and @runleonarun! We want to share some highlights introduced to docs.getdbt.com in the last month:

🔎 Discoverability

• API docs now live in the left sidebar to improve discoverability.
• The deploy dbt jobs sidebar has had a glow up 💅 that splits the ‘about deployment’ into two paths (deploy w dbt cloud and deploy w other tools), adds more info about the dbt cloud scheduler, its features, and how to create a job, adds ADF deployment guidance. We hope the changes improve the user experience and provide users with guidance when deploying with other tools.

☁ Cloud projects

• Added Starburst/Trino adapter docs, including:
  • dbt Cloud quickstart guide, 
  • connection page, 
  • set up page, and config page.
• Enhanced dbt Cloud jobs page and section to include conceptual info on the queue time, improvements made around it, and about failed jobs.
• Check out the April dbt Cloud release notes

🎯 Core projects

• Clearer descriptions in the Jinja functions page, that improve content for each card. 
• 1.5 Docs have been released as an RC!
• See the beautiful work captured in Core v 1.5.

New 📚 Guides and ✏️ blog posts

• Use Databricks workflows to run dbt Cloud jobs
• Refresh Tableau workbook with extracts after a job finishes
• dbt Python Snowpark workshop/tutorial
• How to optimize and troubleshoot dbt Models on Databricks
• The missing guide to debug() in dbt
• dbt Squared: Leveraging dbt Core and dbt Cloud together at scale
• Audit_helper in dbt: Bringing data auditing to a higher level