Data is everything. Having highly optimized data quality will give the organization a great advantage.
Big organizations use expensive cloud servers, that has couple to the latest modern data stack also with a cloud solution. However, many of these data technologies are free and open-source even for enterprise, if it is running on a local server. Using the declarative code-first data integration engine Meltano, it is possible to bind everything together running this highly optimized data stack.
Doing so, will quickly put your data majority miles ahead, with a fraction of traditional-cloud cost.
This ETL makes an extremely powerful setup, for small to medium-sized organizations or project-based data.
What are the key benefits?
- ✅ Automation. Orchestration tool will automatically handle the data-pipeline.
- ✅ Transparent. Well documented and optimized syntax will make the data less error-prone and fast to debug.
- ✅ Version control. Easily roll-back versions, and keep check of the development
- ✅ Scalable. Allows for many data sources. Also, all technologies are easily switchable - for example switching duckdb for snowflake.
- ✅ Collaboration. These tools a made for collaboration across data specialist. Furthermore, best tools and practice is used, so professionals will be able to continue the work rapidly.
- ✅ Configurable. Thousands of data utilities exists to help (great-expectations, Apache Superset, etc.)
- ✅ Standardization. Use the standard best practice, no weird language or rules collaboration should know about.
- ✅ Single source of truth. Work towards a single place where data is handle and gain trust in the data again.
- ✅ Development environment. Sensitive data or development time till benefit from dev-stage-prod environments.
We Propose
While the different components can either be swapped down the line or simply just added, we propose the following stack:
- Meltano as the integration engine. Seamlessly integrate data sources, build pipelines, and track data quality with a powerful data integration platform.
- DBT as the data transformation and documentation tool. DBT enables you to transform and model your data in a consistent and reproducible manner, ensuring data integrity and consistency across your organization.
- Dagster as the orchestration tool. Dagster provides a robust orchestration platform that automates and manages data pipelines, streamlining data processing and ensuring seamless integration with your existing systems.
- DuckDB for the database tech. The Lightweight SQL Database for Efficient Data Processing.
- Evidence for the BI tool. Automate data collection, transformation, and ingestion with a unified data observability platform.
Curious how your organization can get the data lead?
We can help you implement these technologies seamlessly, ensuring that your data stack aligns with your specific business needs. We offer a demo project showing the stack described above.