Open Source Solutions are booming. Open Source projects are easy to clone from Github or Gitlab. The projects´ licenses mostly allow you to use the code in your own product with a kind of contribution. Especially the data engineering space is exploding within the Open Source Landscape since Open Source software is reliable and many contributors extend the solutions. In this episode, we give a brief overview of the data science workflow. The projects we are talking about are available on the following Links: 

• Airbyte | Python (Data Integration): https://github.com/airbytehq/airbyte
• Great Expectations | Python (Data Governance): https://github.com/great-expectations/great_expectations
• Marquez | Java (Data Lineage): https://github.com/MarquezProject/marquez
• Data Explorer | R ( Data Exploration): https://github.com/boxuancui/DataExplorer
• DBT | SQL (Data Analytics): https://github.com/dbt-labs/dbt