Welcome to the world of Synmetrix, an open source data engineering platform that simplifies centralized metrics management. Whether you’re a seasoned data engineer or just starting your journey in data analytics, this guide will walk you through setting up Synmetrix efficiently. Let’s dive in!

Key Features of Synmetrix

• Data modeling and transformations: Define metrics and dimensions using SQL and Cube data models.
• Semantic layer: Consolidate metrics into a unified, governed data model.
• Scheduled reports and alerts: Monitor metrics and receive notifications for changes.
• Versioning: Track schema changes for transparency and auditability.
• Role-based access control: Manage permissions comfortably.
• Data exploration: Analyze metrics through the UI or any BI tool via SQL API.
• Caching: Improve performance with pre-aggregations and caching.
• Teams: Collaborate on metrics modeling across your organization.

How to Set Up Synmetrix

Before you start, ensure that you have the following prerequisite software:

• Docker
• Docker Compose

Step 1: Download the Docker Compose File

Get the installation manifests for deploying Synmetrix by downloading the Docker Compose file. You can do this with commands like:

wget https://raw.githubusercontent.com/mlcraft-io/mlcraft/main/install-manifests/docker-compose/docker-compose.yml

curl https://raw.githubusercontent.com/mlcraft-io/mlcraft/main/install-manifests/docker-compose/docker-compose.yml -o docker-compose.yml

Ensure to check the environment variables in the docker-compose.yml file and modify them as needed.

Step 2: Launch Synmetrix

Start Synmetrix along with a Postgres database for data storage by running:

docker-compose pull stack  docker-compose up -d

You can verify if the containers are operational with this command:

docker ps

Look for “The installation of all dependencies will take approximately 5-7 minutes” message to confirm that everything is on track.

Step 3: Explore Synmetrix

Access Synmetrix through various endpoints:

• Synmetrix UI: http://localhost
• GraphQL endpoint: http://localhost/v1/graphql
• Admin Console: http://localhost/console

Understanding the Synmetrix Architecture: An Analogy

Imagine a library where books are stored in different genres (databases). Each shelf (data model) is meticulously organized, allowing patrons (analytics tools) to quickly find the book they want. Synmetrix operates similarly, seamlessly integrating data from various sources and arranging it in an accessible format (semantic layer) for all users to easily browse and extract insights. You wouldn’t want to mix different genres on the same shelf, and Synmetrix ensures that your data is organized in a way that maintains clarity and ease of use.

Troubleshooting Tips

If you encounter issues, consider these troubleshooting ideas:

• Make sure Docker and Docker Compose are installed correctly.
• Double-check the environment variables in your docker-compose.yml file.
• Check the logs for any errors by running docker-compose logs -f.
• If using ARM64v8 architecture, ensure Rosetta 2 is installed and relevant adjustments in the Cubestore version are made.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.