Mage

In case of Mage, we need to follow the below mentioned steps to install in the local system or cloud environment. Currently I am going to show the installation process in my local system using pip and it can be done using docket image too.

  1. Install Mage
pip install mage-ai
  1. Create a new project
mage start [project_name]
  1. Open http://localhost:6789 in your browser and build a pipeline.
  2. Run the pipeline after building it in the tool.
mage run [project_name] [pipeline]
  1. If you want to create a different project with a different name, run the following:
mage init [project_name]

Snowflake

In case of snowflake, we need to follow the below mentioned steps to get started with snowflake environment.

  1. You can sign up for a free trial account on the Snowflake website.This will give you access to a fully functional Snowflake account, which you can use to explore the features of the platform.
  2. Once you have access to a Snowflake account, you can start learning the basics of the platform. Snowflake offers many resources to help you start, including tutorials, documentation, and online training courses.
  3. To start using Snowflake, you will need to connect to the platform. Snowflake provides several ways to connect, including web-based, command-line, and various drivers and connectors for popular programming languages.
  4. Once you are connected to Snowflake, you can start loading data into the platform. Snowflake supports a variety of data sources, including CSV files, JSON files, and various types of databases. You can use the Snowflake web interface or a command-line tool to load data into Snowflake.
  5. Once data is loaded into Snowflake, you can start querying it to get insights. Snowflake supports a variety of query languages, including SQL, ANSI SQL, and SnowSQL. You can use the Snowflake web interface or a command-line tool to run queries against your data.