Build & Run
Projects, runtimes and compute, ETL jobs, the scheduler, notebooks, datasets, models and MCP clients.
Chapters
- About this guideThis guide shows you how to build and run your work in Groundzero. You will create projects, write and run ETL jobs, put them on a schedule, work in notebooks, build…
- ProjectsA project keeps related work together: its jobs, notebooks and models live inside it, and the Scheduler groups tasks by project. After this chapter you can create a…
- Runtimes and computeYour code does not run in your browser. It runs on a runtime (also called an RTE) that Groundzero starts for you, on a compute size that sets how much memory and how…
- ETL jobsAn ETL job is Python code that reads data from your connections, transforms it and writes the result somewhere else. After this chapter you can create a job, run it…
- Scheduling and run historyThe Scheduler runs a job at the time you choose, once or on a repeating schedule. Each scheduled job is a task. After this chapter you can schedule a job to run every…
- NotebooksA notebook is an interactive document made of cells. You run a code cell and its output appears right under it, and Markdown cells hold your notes. After this chapter…
- DatasetsA dataset is a saved, named result. You define it with a SQL query on a connection, or with Python code that runs on a runtime. Groundzero runs it when asked and shows…
- Models and MLflowGroundzero uses MLflow to track machine learning experiments and manage models. After this chapter you can log a model from a notebook, look at your experiments and…
- Connecting from MCP clientsGroundzero can work with the coding assistants you already use. After this chapter your assistant can list your projects, write and run jobs, open notebooks, query…
- Glossary