Real time operational intelligence company Splunk staged its annual developer, partner, customer, tech-practitioner event in Orlando this month to explain what the firm really means by the term ‘enterprise machine data fabric’ and how its intelligence software will work with new and emerging technology platforms.
“Everywhere we walk, we’re walking through data right now,” said Splunk CEO Doug Merritt during the event keynote itself.
What is data synthesis?
Splunk is keen that we understand data in terms of its shape, form, function and origin. This comes from the firm’s (arguably wider than some) breadth of view in terms of data sources. Take an Internet of Things (IoT) level example.
Data comes not only from industrial sensors but also from worker observations says Splunk – bringing this data together is the synthesis process needed. Once this is achieved, the data intelligence can be used (in theory) to drive continuous improvement and business metrics.
Mike Clayville, VP at Amazon Web Services joined Splunk CEO Merritt on stage to explain how his firm’s cloud layer is pushing change (yes, obviously he said “transformation” like every other vendor) through the service-based approach to computing.
Undifferentiated heavy lifting
“Digital transformation really emerged in 2016,” said Clayville. “If you haven’t begun the journey [with cloud], then now is the time to get started because cloud is the new normal.”
Firms need to “leverage the undifferentiated heavy lifting” of firms like AWS, said Clayville.
Coming back to the stage, Splunk CEO Merritt went slightly deeper tech and explained how his firm’s schema flexibility allows different users to ‘schema align/define’ the same data set but effectively ask different questions of it and so (logically) perform different analytics on by looking at different data correlations.
Sections of this keynote were also devoted to product news: Splunk IT Service Intelligence 2.4 and Splunk 6.5 itself, plus Enterprise Security 4.5 and User Analytics Behaviour 3.0 — all of which exist as products in their own right.
dev.splunk.com & Splunkbase
In terms of direct developer resources, programmers are directed to look at the resources on dev.splunk.com & Splunkbase.
Insight Engines is a new product emanating from the developer division intended to allow all users to start investigating machine data using a Natural Language compiler that can (obviously) understand what users are asking Splunk and generate queries.
“Today developers are leveraging the platform to build innovative solutions. Now over 1,100 apps & add-ons on Splunkbase,” said the firm, on Twitter.
CEO Merritt has said that the ‘big secret’ is that all of the change around today is underpinned by machine data.
“Machine learning enables organisations to get deeper insights from their machine data and ultimately increases the opportunity our customers can gain from digital transformation,” said Merritt.
We’ll spare you the licensing and user offer sections, but yes they were part of the show and of course various presenters just couldn’t help themselves and had to whoop out the occasional ‘awesome’!
The bottom line here (if we are forced to lay one down) is that an enterprise machine data fabric could help create new ‘business engines’ that ultimately deliver new revenue streams.