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HPE OBR: Reporting on your big data sets from HPE Operations Analytics

HPE OBR: Reporting on your big data sets from HPE Operations Analytics

Vineetha_V

While both draw upon similar collected data sets, reporting and analytics are very different in terms of their purpose, tasks, outputs, delivery and value. For the purposes of this blog post, I’m not going to delve deeply into the stages of and around reporting and analytics, but I do recognize that both areas are critical and challenging steps in the overall data-driven decision-making process.

IT systems and technology infrastructure in an enterprise generate data every second of the day, and log data forms a significant portion of the same. As one of the fastest-growing and most complex segments of big data, log data is also one of the most valuable. 

HPE Operations Analytics offers solutions that provide deep-dive analytics collecting, analyzing and visualizing log data amongst other large data sets. We provide a unified way to organize and extract real-time insights from massive amounts of these data sets generated across diverse sources.

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Also, you can now generate reports with data sourced from HPE Operations Analytics and view them in in HPE Operations Bridge Reporter reporting portal; the newly-released OBR Log Content offering on HPE Live Network Community pages stands as a testimony to this integration, furthering the extent of consolidated reporting in your enterprise.

HPE OBR helps business users understand structured data that is usually represented as fields, such as a records in relational database tables. HPE Operations Analytics extracts information from unstructured data, which is usually in free text format. OBR consumes this information adhering to the CEF (Common Event Format).

But before you begin to create reports of your choice in OBR based on Log Content, you must configure the integration between OBR and OpsA. The steps to do this are detailed in the HP OBR Log Content User Guide

The OBR Log Content source artifacts are also shared on the OBR Community pages, enabling you to have a head start on building your own customized reporting content.


medium.jpgBut that’s not all. There now exists the possibility of integrating OBR for reporting on OpsA data that resides on the same Vertica instance (**awaiting official support notification) as illustrated in a recent PoC.

What does this imply? This means adding a software layer to connect its report generating software to the places where big data gets stored.

The HPE OBR OpsA Integration community content samples on HPE Live Network offer an illustration of the same wherein data sourced from both OBR and OpsA schema on the Vertica instance is leveraged for reporting.


Reports thus can be created in more than one way on your analytic data sets, and for a myriad set of use cases. After such a report is created with OBR, there’s a lot you can do with it:

  • Business users can have interactive views of the reports (scheduled or online)
  • Users can print the report, send the report via email to another user, save the report in PDF format
  • Report elements can be edited (customized sorting applied) online via the Web Intelligence tool
  • You can also enable drill across into other OBR performance reports based on the domains of interest
  • Report bursting (publications based on groups to larger sets of audiences) across tenants/groups is as well a definitive possibility

Please visit the OBR Community pages and download it now!

For any questions you may have, please reach out to us via the Operations Bridge Reporter Practitioners’ Forum.


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You can also see demonstrations and find out more details of this and other features of our HPE Operations Bridge solution in our sessions and at our booths during HPE Discover Las Vegas. Click on the image below or here to register!

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  • operations bridge
About the Author

Vineetha_V

Comments
HPE Blogger

Vineetha, thanks for this blog. Indeed this integration opens up lot more possibilities to have reporting and analytics complimenting each other, without having to duplicate BIG data.

N/A

Hi Vineetha,

This is great! Regarding the "waiting official support notification" observation, is this approach already officially supported?

Thanks, regards,

Marcus