Data Observability with Databand
This workshop introduces key Databand capabilities and provides a hands-on exercise to configure and perform common data observability tasks for an IBM DataStage flow using Databand.
The first lab provides a scripted walk though of key data observability features and benefits that are provided by Databand. This lab is a good place to see how Databand provides capabilities that help data engineers understand problems in data pipelines earlier, understand impacts of issues and errors, and ultimately remediate problems faster. The flow of this lab follows IBM's recommended way to demonstrate Databand to a potential customer.
The second and third labs show IBMers and Business Partners the additional monitoring and alerting capabilities that Databand brings to DataStage on Cloud Pak for Data as a Service (CP4DaaS). The DataStage flow we will be observing is found in the Data Integration tutorial. This flow combines anonymized mortgage applications data with the mortgage applicants’ personally identifiable information to help lenders decide whether they should approve or deny mortgage applications.
Prerequisites
- Access to an IBM Cloud account through your IBMid. This lab uses the
lite(otherwise known as free) plans for Cloud Pak for Data as a Service on IBM cloud and is best accessed with a personal account. If you do not have an IBM Cloud account, please register here and after receiving the confirmation email, follow the steps in the instructions to activate your account.