Even though Spark and Delta are the perfect basis for your future data pipeline, and the Data Lakehouse architecture allows us to enable a tremendous amount of new use cases, the usability and productivity still remain a challenge.
In this eBook, you’ll learn how low-code for lakehouse can enable data engineers to:
- Visually build and tune data pipelines into well-engineered Spark or PySpark code
- Directly store code in Git while leveraging testing and CI/CD best practices
- Collaborate on multiple data pipelines within each level of data quality
