“Data Testing with Great Expectations, Snowflake, Postgres, and Raw Files: Building Robust Testing Pipelines with AWS Airflow and GitLab”

In today’s data-driven world, ensuring the quality and accuracy of data is critical for businesses. The use of Great Expectations, Snowflake, Postgres, and raw files has become increasingly popular for data testing, enabling organizations to verify the quality of their data, ensure compliance with regulations, and improve decision-making.

In this conference, we will delve into the best practices for using Great Expectations, Snowflake, Postgres, and raw files to test and validate data. We will also explore how to build robust testing pipelines using AWS Airflow and GitLab.

The conference will feature expert speakers who will share their experiences and insights on topics such as:

• Setting up and configuring Great Expectations, Snowflake, Postgres, and raw files for data testing
• Best practices for creating test suites and expectations using Great Expectations
• Leveraging AWS Airflow for creating and scheduling data testing pipelines
• Using GitLab to manage and automate testing pipelines, including version control and continuous integration/continuous deployment (CI/CD)
• Tips and tricks for efficiently testing data at scale
• Case studies showcasing successful implementations of data testing using these tools and technologies
• Whether you are a data engineer, data analyst, or data scientist, this conference will provide you with practical insights and strategies for ensuring the quality and accuracy of your data, as well as enhancing your overall data management practices.

Takeaways from the talk:

• The conference on “Data Testing with Great Expectations, Snowflake, Postgres, and Raw Files: Building Robust Testing Pipelines with AWS Airflow and GitLab” will help participants learn about the best practices and strategies for ensuring the quality and accuracy of their data.
• The conference will provide insights on how to leverage Great Expectations, Snowflake, Postgres, and raw files for data testing, and how to build robust testing pipelines using AWS Airflow and GitLab. Participants will also get to learn about tips and tricks for efficiently testing data at scale.
• Overall, the conference will be a valuable learning experience for data professionals, providing practical insights and strategies to improve their data management practices and ensure the quality and accuracy of their data.