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I guess my name is my belief
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d and I
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go farther and deeper
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history data BR the very first Park summit
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in San Francisco which has been an outstanding success of our
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are crowded rooms who jam-packed and very very busy hopefully a sign of
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things to come
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i’m joined here by Reynolds who is one of the cofounders added Abraxane
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was appears this unit Bourque not not too long ago
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not too long ago back couple months ago glad to have you here
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I’m so I’m reno just let me introduce myself again on one of the cold founders
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have
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data breaks the company behind apaches bike and
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not too long ago I was actually appears PC then at the UC Berkeley and lamb
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where spark and shark and
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or the other a lot of the other system talk about that I am wanna
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here most active patches Park amid their stand also the main author behind shock
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they are various adopters that sparked they are stacking
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how are you using I’m very curious that’s a great question
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so a two story one of the unique things that we do is what he called it a
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harmonization
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so that lets users are different skill sets bring together data that’s internal
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as well as external to the organization
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and can was on a flight so naturally you can imagine our
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a processing system like sparking short help us in enabling bad for business
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users
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the harmonization engine is something that’s driven through our application
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where users visualize data analyze data and can was it on the fly
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and harmonization engine drive that analysis and owns a spark in shock waves
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okay so
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reason than you imagine using same Beyonce in memory data processing
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right to men when I started the company a coming from my background working in
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MBB databases and after data I knew that a problem that you’re trying to tackle
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it clear story
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was a slightly higher level and we wanted to enable
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I more degrees of freedom for users to work with data
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and that he never being done as well as external to the organization so it
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wasn’t
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entirely just about equal or about in the reprocessing it was also about the
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framework and
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capabilities and the competition power that sparking sharp have
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and gonna sleep in 14 spark we would have any lately but a system like this
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ourselves
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so a we were one of the early adopters I wish
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by started by noon to what sparked with army source project to begin with and
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then
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realize that the a the computing committees and a scholar language
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and a shark hi were sick with support wear something that really
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gave us I’ll the road builders to build bill descend on top of sparking talk and
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focus on our core competence
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which is the domination
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sparking you mention why either and most compelling
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ass back define so spark has this notion of Brazilian distributed datasets
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a majorities in memory units of data which can span across multiple machines
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in a cluster
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so as a as a computing unit of data
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that is really promising for the going to work was busy at your story
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so when you have multiple sources of data being converged on the fly
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and multiple users working working with these datasets
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dynamically without any modeling in one you have almost
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Udyog of baidoa breeders and on datasets themselves and different users accessing
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data different points
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so RTD’s and don’t be a dick and evolve pretty mundane
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nears appropriations and you can’t read it I been back construct fits really
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well
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with the baby operate on detective story and that is something that
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also plays very nicely with the baby enable collaboration with data
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so if you think about how different users might join alice is a different
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point
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the almost naturally fit the model of an RTD so if I have an analysis and i’m
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looking at what we do said and I am i doing to the story
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a keep a copy maybe something that is material is an RTD
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that maybe cash so we can have a rapid access to it and you don’t have to
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wait a long time which traditionally happens with dashboard and be i’d
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the tactics ability is really crucial for us okay so this is more about in
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general the general dag
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execution case that Jennings Rd have family s policy mami
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cashing right right because that there’s a lot of flexibility that
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our traditional tools did not happen there was a very linear process to begin
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with
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you have a question you knew whether it is coming from and somebody give your
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dashboard any looked at it
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but now you can have different users in your organization have different agendas
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some may be worrying about their top line as many wearing about expenses so
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maybe worrying about competition
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marketing campaign see is in mint resupply teen
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and for all be there’ll be too many degrees of freedom to in court in a
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straight line
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without it being real Aussie so that’s where our TVs and how they have all your
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time is something that makes Park extremely promising
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early doing this with in in my day are formalizing the Spartans our project
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coming from employer
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so what is it that both in excites you about the company in about the prospects
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for sparking sharp
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I have been done to the near-term and longer-term roadmap
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on I think in the near term is that in very exciting to be able to work with
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different partners
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magic commercialize Park playing a lot more and momentum behind the project
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from
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and I’m further pushing a project pain I think I’m more scene just in the longer
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term
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and most excited by actually longer Commission on the opportunities
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available in a big data space at Big Data systems are still very hard to you
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and we’re hoping to change that with spark in shock and all the other stuff
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into going
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awesome ok
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income so
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sparking jargon other companies were using it and ecosystem that somebody
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right now
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what kinda music back into using so um
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in their journey sus partes you pretty nation
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I’m here with had a map news and bed in the passive eight-year
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to happen year times we have seen alive abuse cases being reported
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and starting from so that their advanced analytics like doing wishing
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but now it’s in this park is moving on 12 30 lap kind of style
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and even into you here now which is more said yeah turf
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had a map news my and has to talk this morning given by Kim totally
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as the talk on Yahoo is hoping to actually repay some more
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your workflow with brown spark and I think that
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in part is very exciting for being able to cover and to add
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on the entire pecan Dana I it’s probably one of the most
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exciting track it feature