Explore Azure Data Studio to revolutionize data interaction, discovery, and sharing for SQL developers, data analysts, and more, leveraging on-premise and cloud databases with open-source flexibility.

Hands on Azure Data Studio- Microsoft's Open Platform for Data Engineering and Analytics by James(Jim) Miller _Hands on Azure Data Studio- .jpg

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Azure Data Studio revolutionizes how we interact, discover, process, and share data and analytics. It is stand-alone open-source software that works with on-premise databases and databases living in the cloud. You do not need to be on Azure to get the most of Azure Data Studio!

This course is designed for anyone who is involved in exploring and analyzing data. This includes SQL developers, data analysts, data scientists, and database administrators. It will also be helpful for professionals involved in data integration and data warehousing, as well as for Python and PowerShell developers looking for a data-centric platform for using their language of choice.

Azure Data Studio Masterclass

## The terminal windows
An interesting capability of Azure Data Studio is the integration of a standard SQL editor with other language options. These language options are available using *Notebooks*, 
which will be introduced in the [Getting Things Done with Notebooks](https://www.educative.io/courses/azure-data-studio-masterclass/jupyter-notebooks) chapter, and as well as by the integrated *terminal* window, which we will discuss next.

To open the *terminal* window, press _Ctrl+`_ (backtick). Otherwise, use the Menu Bar, 
by selecting "View, Terminal". Once opened, you will see the terminal pane on the bottom right section of the ADS application, as shown below:

# The terminal windows
An interesting capability of Azure Data Studio is the integration of a standard SQL editor with other language options. These language options are available using *Notebooks*, 
which will be introduced in the [Getting Things Done with Notebooks](https://www.educative.io/courses/azure-data-studio-masterclass/jupyter-notebooks) chapter, and as well as by the integrated *terminal* window, which we will discuss next.

To open the *terminal* window, press _Ctrl+`_ (backtick). Otherwise, use the Menu Bar, 
by selecting "View, Terminal". Once opened, you will see the terminal pane on the bottom right section of the ADS application, as shown below:

Let's see how to run SQL queries from the built-in terminal.

Introduction

Open Source, Cross-Platform, Multi-Database

Everything Starts with a Connection

SQL Editing Reimagined

Visualizing and Exporting Your Queries

Getting Things Done with Notebooks

Reaching Beyond SQL

Source Control by Design

Free and Easy Extensions

Wrap Up

Appendixes

SQL Queries via the Command Terminal

The terminal windows