Data observability is needed to improve quality of an organization’s data products. Databand, IBM’s latest acquisition in the Data and AI portfolio, achieves data observability through operational monitoring of data pipelines. In this session we will explain how to monitor, identify, and resolve data pipeline issues in order to deliver reliable data to consumers. The presentation will be followed by an optional hands-on lab during which you will use Databand to set up monitoring of data pipelines.
Session length: 2 hours
Prerequisites for the optional lab:
- Python IDE (PyCharm, Visual Studio, JupyterLab, etc. with Python 3.8 or 3.9) or an IBM Cloud account with a Watson Studio service (free tier)