Tugdual Grall, Mapr & Ted Dunning, MapR | Hadoop Summit Dublin 2016
Channel: SiliconANGLE theCUBE
Date: 14/04/2016

01. Tugdual Grall, MapR, Visits #theCUBE!. (00:21)
02. Ted Dunning, MapR, Visits #theCUBE!. (00:36)
03. What Is Going On In Our World. (00:40)
04. What Is Your Pitch To The Developer Community. (02:23)
05. Can We Learn Anything From The Old Data For The New. (03:26)
06. Is It ODPI's Mission To Create Inoperability. (05:56)
07. What Are Developers Asking From MapR. (07:57)
08. Is Your Simplification Strategy Convergence. (09:15)
09. Where Is The Real Action In Terms Of Business Value. (11:13)
10. Is The Lack Of Packaged Applications A Market Maturity Problem. (13:20)
11. What Is Happening With MapR. (14:17)

Track List created with http://www.vinjavideo.com.
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API unifying platform MapR’s goal | #HS16Dublin

by Gabriel Pesek | Apr 14, 2016 

An increasing number of discussions and presentations revealing ways to effectively utilize Hadoop with regard to Big Data and efficiency improvement emerged during the second day of Hadoop Summit 2016 in Dublin, and finding points of divergence in these strategies is key to understanding individual company policies.

Tugdual Grall, technical evangelist at MapR Technologies, Inc., and Ted Dunning, chief application architect at MapR, joined Dave Vellante (@dvellante), cohost of theCUBE, from the SiliconANGLE Media team, to give their perspective on how the changing Hadoop ecosystem is affecting things for developers and users alike.

Common market interests

An early point of discussion in the conversation addressed how competing companies were eagerly attending each other’s shows, something that Dunning saw as indicative of larger trends. “I think that there’s a very interesting distinction in this marketplace, where we actually have a lot of interoperability, a lot of commonality. … By having this common basis, we’ve built a much bigger market,” he said.

However, even with such commonality, there’s still significant distinction in the approaches and market strategies of each company. As Dunning put it, “MapR’s strategy is a little bit different. We are builders of revolutionary technology, we incorporate that into products, and so we sell products. That’s different from a company that says they have no IP, other than logos and trademarks, and then they drive services.”

Sharing value

Dunning also addressed interoperability as a change in the developer’s realm, comparing the days of reliance on Linux, in which “there was very limited interoperability,” to what Hadoop has brought. He noted, “We have far more interoperability [with Hadoop] than we’ve ever seen in a major platform.” This has changed things for vendors, and “Vendors are nearly getting value from customers in proportion to the value they give to customers,” according to Dunning.

As Grall sees it, “What [developers] are asking for is to be able to develop a new type of application on a single platform, to make it easy to do the historical Big Data with analytics that you would use on machine learning, but also be able to view it on a single platform with real-time data.”

API coherence

For effective development and deployment, clarity of implementation is a big key, Dunning felt, saying, “Common APIs are, we think, critical, because they are the interface through which developers code. And there’s a lot of them; there are some Hadoop-ish-centric APIs … but there are also traditional APIs … and those are the key things that developers absolutely need. And what we’re doing is converging all of these APIs into a single platform, a single coherent experience.”

There’s also an emphasis on avoiding organization that leads to “cluster sprawl.” And as Dunning said, “We think you need to take it to a single platform that has good multitenancy and multivalency in terms of multiple APIs. Revolution comes from implementation of good APIs, but standardization comes from APIs not dictating exactly which bits implement those APIs.”

Attacking the topline

Toward the end of the interview, things moved to consider the financial angle for companies delving into these practices. Dunning laid out the situation from his view, noting that while the bottomline of company revenue is affected, “Big Data actually attacks the topline as well … because it presents new opportunities. There’s a fundamental structural change in the economic of computing, where we have linear scalability, where before we had non-linear scalability, and this changes the shape and the geometry of the essence of what drives the economics of this. That change then creates new opportunities, and that’s why we’re seeing essentially a universal drive toward this new platforming of the enterprise.”


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