Yes, but limited to the outputs getting generated from the profiling insights. Categories and reports and names can be customised using techniques
Yes, but limited to the outputs getting generated from the profiling insights. Categories and reports and names can be customised using techniques
This is still not in the product. I may have mentioned one but as you said there are more where the implementation team has helped us with the adapters
We maintain the sanity of demo env by keeping it ready-only. We will try to provide a sandbox environment for such exercise
Siblings are jobs that have same parents. If job B and job C both run after job A finishes, then they are siblings
Yes
Via schedulers
No for using anything that comes out of the box. May need for custom extension.
Yes
Light-weight watch does not offer prediction. It does monitoring and anomaly detection and notification.
Some examples can be procurement purchase orders, retail store transactions
This is relevant when Watch is used to capture transactions where many processes chain together to complete one transaction.
Past events can be correlated to each other.
All attributes and details as supported in AIOPS model can be captured. Anything not available can be extended and modelled.
Expand the scope: files, processes, OC. Simplify implementation: monitoring, governance, easy onboarding of schedulers
We would require feeds with information for this. So the business transactions what you are seeing is just a platform to detect anomalies and monitor process system. If we are able to get the feeds from different systems in the end point provided, then this can be enabled. The BHM solutions is currently using this facility as a base for the transaction monitoring.
If the user is not able to provide the data, we would still need the runs for some days. At least the last 7-10 runs of the adhoc job to come up with some values.