Matillion

Index:

• Introduction to Metillion:

• Overview of Metillion as a DataOps platform.
• Understanding the benefits of using Metillion for data integration and transformation.
• Exploring key features and components of the Metillion platform.

• Metillion Architecture:

• Architecture and components of the Metillion platform.
• Integration with cloud data sources and targets (e.g., AWS S3, Redshift, Azure Blob Storage, Snowflake, etc.).

• Building Data Pipelines:

• Creating and configuring data pipelines in Metillion.
• Using Metillion’s visual interface for designing ELT workflows.
• Implementing data transformations and business logic within pipelines.

• Data Source Integration:

• Connecting to various data sources (databases, files, APIs, etc.) using Metillion.
• Managing metadata and schema definitions in Metillion.

• Data Transformation and Processing:

• Performing transformations and data cleansing operations.
• Implementing data quality checks and error handling within pipelines.

• Deployment and Execution:

• Deploying data pipelines in different environments (development, testing, production).
• Scheduling and monitoring pipeline execution.
• Troubleshooting and debugging pipeline issues.

• Advanced Topics:

• Using variables and parameters in Metillion for dynamic pipeline behavior.
• Implementing incremental data loading strategies.
• Handling complex data integration scenarios (e.g., change data capture).

• Security and Governance:

• Ensuring data security and access control in Metillion.
• Compliance with data governance policies and regulations.