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so<00:00:13.870><c> my</c><00:00:14.110><c> name</c><00:00:14.259><c> is</c><00:00:14.290><c> Chris</c><00:00:14.679><c> fregley</c><00:00:15.040><c> I</c><00:00:15.820><c> just</c>

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so my name is Chris fregley I just
 

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so my name is Chris fregley I just
joined<00:00:16.539><c> Amazon</c><00:00:16.990><c> Web</c><00:00:17.140><c> Services</c><00:00:17.619><c> a</c><00:00:18.210><c> Technical</c>

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joined Amazon Web Services a Technical
 

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joined Amazon Web Services a Technical
Evangelist<00:00:19.779><c> in</c><00:00:20.140><c> developer</c><00:00:20.619><c> relations</c>

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Evangelist in developer relations
 

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Evangelist in developer relations
focusing<00:00:22.420><c> on</c><00:00:22.510><c> machine</c><00:00:22.810><c> learning</c><00:00:23.140><c> and</c><00:00:23.350><c> AI</c><00:00:31.590><c> yeah</c>

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focusing on machine learning and AI yeah
 

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focusing on machine learning and AI yeah
this<00:00:33.850><c> is</c><00:00:34.059><c> my</c><00:00:34.300><c> fourth</c><00:00:35.140><c> time</c><00:00:35.530><c> I</c><00:00:35.950><c> think</c><00:00:36.070><c> I've</c><00:00:36.309><c> been</c>

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this is my fourth time I think I've been
 

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this is my fourth time I think I've been
since<00:00:37.059><c> the</c><00:00:37.590><c> very</c><00:00:38.590><c> beginning</c><00:00:38.710><c> so</c><00:00:39.129><c> this</c><00:00:39.309><c> is</c><00:00:39.430><c> not</c>

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since the very beginning so this is not
 

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since the very beginning so this is not
my<00:00:39.670><c> first</c><00:00:39.820><c> time</c><00:00:39.940><c> I've</c><00:00:40.270><c> been</c><00:00:40.300><c> here</c><00:00:40.420><c> yeah</c><00:00:40.840><c> plenty</c>

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my first time I've been here yeah plenty
 

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my first time I've been here yeah plenty
of<00:00:41.170><c> times</c><00:00:41.410><c> I</c><00:00:41.770><c> like</c><00:00:42.070><c> to</c><00:00:42.250><c> come</c><00:00:42.489><c> back</c><00:00:42.640><c> see</c><00:00:43.600><c> all</c><00:00:43.719><c> my</c>

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of times I like to come back see all my
 

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of times I like to come back see all my
old<00:00:43.870><c> friends</c><00:00:44.140><c> and</c><00:00:44.680><c> yes</c><00:00:44.980><c> some</c><00:00:45.190><c> people</c><00:00:45.460><c> fly</c><00:00:45.640><c> in</c>

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old friends and yes some people fly in
 

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old friends and yes some people fly in
from<00:00:46.059><c> South</c><00:00:46.270><c> Africa</c><00:00:46.690><c> other</c><00:00:46.870><c> places</c><00:00:47.140><c> and</c><00:00:47.590><c> yes</c>

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from South Africa other places and yes
 

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from South Africa other places and yes
it's<00:00:48.640><c> good</c><00:00:48.789><c> to</c><00:00:48.879><c> see</c><00:00:49.000><c> people</c><00:00:49.030><c> know</c>

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probably<00:00:59.530><c> the</c><00:00:59.739><c> hands-on</c><00:01:00.250><c> portion</c><00:01:01.079><c> this</c><00:01:02.079><c> year</c>

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probably the hands-on portion this year
 

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probably the hands-on portion this year
I<00:01:02.710><c> am</c><00:01:03.339><c> giving</c><00:01:03.850><c> people</c><00:01:03.999><c> a</c><00:01:04.360><c> link</c><00:01:04.600><c> to</c><00:01:04.869><c> go</c><00:01:05.019><c> out</c><00:01:05.140><c> and</c>

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I am giving people a link to go out and
 

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I am giving people a link to go out and
play<00:01:05.979><c> with</c><00:01:06.130><c> these</c><00:01:06.220><c> new</c><00:01:06.430><c> technologies</c>

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play with these new technologies
 

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play with these new technologies
you<00:01:08.140><c> know</c><00:01:08.200><c> most</c><00:01:08.380><c> of</c><00:01:08.470><c> its</c><00:01:08.619><c> python-based</c>

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you know most of its python-based
 

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you know most of its python-based
there's<00:01:09.700><c> there's</c><00:01:10.060><c> a</c><00:01:10.119><c> little</c><00:01:10.330><c> bit</c><00:01:10.450><c> of</c><00:01:10.570><c> Scala</c>

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there's there's a little bit of Scala
 

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there's there's a little bit of Scala
Java<00:01:11.670><c> but</c><00:01:12.670><c> yeah</c><00:01:12.850><c> yeah</c><00:01:13.149><c> I</c><00:01:13.180><c> think</c><00:01:13.330><c> it's</c><00:01:13.630><c> kind</c><00:01:13.840><c> of</c>

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Java but yeah yeah I think it's kind of
 

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Java but yeah yeah I think it's kind of
showing<00:01:14.200><c> the</c><00:01:15.100><c> brand-new</c><00:01:15.549><c> last</c><00:01:16.330><c> couple</c><00:01:16.630><c> years</c>

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showing the brand-new last couple years
 

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showing the brand-new last couple years
what's<00:01:17.080><c> been</c><00:01:17.229><c> going</c><00:01:17.470><c> on</c><00:01:17.560><c> and</c><00:01:17.860><c> then</c><00:01:17.950><c> giving</c>

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what's been going on and then giving
 

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what's been going on and then giving
them<00:01:18.340><c> a</c><00:01:18.610><c> way</c><00:01:18.789><c> it's</c><00:01:18.939><c> actually</c><00:01:19.270><c> going</c><00:01:19.479><c> and</c><00:01:19.810><c> then</c>

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them a way it's actually going and then
 

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them a way it's actually going and then
play<00:01:20.140><c> and</c><00:01:20.320><c> then</c><00:01:20.409><c> learn</c><00:01:20.619><c> and</c><00:01:20.890><c> then</c><00:01:21.039><c> use</c><00:01:21.189><c> it</c><00:01:21.220><c> in</c>

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play and then learn and then use it in
 

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play and then learn and then use it in
their<00:01:21.549><c> own</c><00:01:21.580><c> system</c>

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yeah<00:01:31.660><c> my</c><00:01:31.900><c> work</c><00:01:32.080><c> in</c><00:01:32.470><c> developer</c><00:01:33.100><c> relations</c><00:01:33.210><c> and</c>

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yeah my work in developer relations and
 

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yeah my work in developer relations and
I<00:01:35.140><c> actually</c><00:01:35.530><c> technically</c><00:01:36.070><c> work</c><00:01:36.280><c> under</c>

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I actually technically work under
 

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I actually technically work under
marketing<00:01:36.940><c> so</c><00:01:37.330><c> it's</c><00:01:37.990><c> a</c><00:01:38.110><c> pretty</c><00:01:38.290><c> interesting</c>

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marketing so it's a pretty interesting
 

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marketing so it's a pretty interesting
challenge<00:01:39.070><c> it's</c><00:01:39.220><c> the</c><00:01:39.310><c> first</c><00:01:39.520><c> time</c><00:01:39.700><c> I've</c><00:01:40.200><c> you</c>

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challenge it's the first time I've you
 

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challenge it's the first time I've you
know<00:01:41.290><c> gone</c><00:01:41.530><c> to</c><00:01:41.890><c> this</c><00:01:42.280><c> side</c><00:01:42.550><c> of</c><00:01:43.030><c> the</c><00:01:43.210><c> industry</c>

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know gone to this side of the industry
 

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know gone to this side of the industry
so<00:01:45.130><c> yeah</c><00:01:46.000><c> I</c><00:01:46.270><c> mean</c><00:01:46.420><c> my</c><00:01:46.660><c> whole</c><00:01:46.810><c> job</c><00:01:46.990><c> is</c><00:01:47.230><c> to</c><00:01:47.380><c> kind</c>

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so yeah I mean my whole job is to kind
 

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so yeah I mean my whole job is to kind
of<00:01:47.650><c> create</c><00:01:48.130><c> content</c><00:01:48.790><c> and</c><00:01:49.030><c> create</c><00:01:49.870><c> scalable</c>

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of create content and create scalable
 

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of create content and create scalable
content<00:01:50.950><c> and</c><00:01:52.050><c> help</c><00:01:53.050><c> people</c><00:01:53.380><c> rather</c><00:01:54.160><c> use</c><00:01:54.520><c> the</c>

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content and help people rather use the
 

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content and help people rather use the
Amazon<00:01:54.850><c> products</c><00:01:55.540><c> and</c><00:01:55.900><c> I'm</c><00:01:56.620><c> specifically</c>

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Amazon products and I'm specifically
 

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Amazon products and I'm specifically
also<00:01:57.430><c> focused</c><00:01:57.880><c> on</c><00:01:58.060><c> the</c><00:01:58.870><c> open</c><00:01:59.110><c> source</c><00:01:59.230><c> side</c><00:01:59.530><c> of</c>

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also focused on the open source side of
 

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also focused on the open source side of
things<00:01:59.860><c> as</c><00:02:00.010><c> well</c><00:02:00.040><c> -</c><00:02:00.340><c> which</c><00:02:00.670><c> like</c><00:02:01.390><c> runs</c><00:02:01.630><c> the</c>

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things as well - which like runs the
 

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things as well - which like runs the
reach<00:02:01.990><c> even</c><00:02:02.290><c> more</c>

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[Music]

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yeah<00:02:11.860><c> this</c><00:02:12.099><c> morning</c><00:02:12.310><c> I</c><00:02:12.790><c> ended</c><00:02:13.060><c> up</c><00:02:13.150><c> chatting</c>

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yeah this morning I ended up chatting
 

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yeah this morning I ended up chatting
with<00:02:13.750><c> a</c><00:02:13.780><c> lot</c><00:02:13.930><c> of</c><00:02:14.020><c> people</c><00:02:14.230><c> so</c><00:02:14.349><c> I</c><00:02:14.380><c> didn't</c><00:02:14.800><c> make</c><00:02:14.860><c> it</c>

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with a lot of people so I didn't make it
 

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with a lot of people so I didn't make it
to<00:02:15.040><c> too</c><00:02:15.310><c> many</c><00:02:15.430><c> of</c><00:02:15.730><c> the</c><00:02:15.970><c> sessions</c><00:02:16.390><c> there's</c><00:02:16.989><c> a</c>

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to too many of the sessions there's a
 

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to too many of the sessions there's a
talk<00:02:17.860><c> this</c><00:02:18.160><c> afternoon</c><00:02:18.220><c> by</c><00:02:18.970><c> my</c><00:02:19.150><c> friend</c><00:02:19.420><c> Nick</c>

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talk this afternoon by my friend Nick
 

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talk this afternoon by my friend Nick
Penn<00:02:20.380><c> treif</c><00:02:20.680><c> who</c><00:02:20.950><c> actually</c><00:02:21.160><c> is</c><00:02:21.550><c> in</c><00:02:21.760><c> town</c><00:02:21.940><c> from</c>

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Penn treif who actually is in town from
 

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Penn treif who actually is in town from
South<00:02:22.480><c> Africa</c>

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South Africa
 

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South Africa
speaking<00:02:23.770><c> about</c><00:02:23.890><c> end-to-end</c><00:02:24.340><c> pipelines</c><00:02:25.000><c> and</c>

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speaking about end-to-end pipelines and
 

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speaking about end-to-end pipelines and
spark<00:02:26.980><c> and</c><00:02:27.370><c> tensorflow</c><00:02:28.680><c> he</c><00:02:29.680><c> comes</c><00:02:29.920><c> from</c><00:02:30.160><c> the</c>

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spark and tensorflow he comes from the
 

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spark and tensorflow he comes from the
IBM<00:02:30.610><c> side</c><00:02:31.480><c> of</c><00:02:31.630><c> things</c><00:02:31.870><c> and</c><00:02:32.620><c> they're</c><00:02:33.099><c> like</c><00:02:33.340><c> very</c>

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IBM side of things and they're like very
 

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IBM side of things and they're like very
into<00:02:33.790><c> the</c><00:02:33.880><c> open</c><00:02:34.150><c> source</c><00:02:34.330><c> for</c><00:02:34.599><c> these</c><00:02:34.720><c> different</c>

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into the open source for these different
 

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into the open source for these different
projects<00:02:35.380><c> so</c><00:02:35.590><c> yeah</c><00:02:35.890><c> it's</c><00:02:36.130><c> kind</c><00:02:36.310><c> of</c><00:02:36.370><c> end</c><00:02:36.550><c> to</c><00:02:36.670><c> end</c>

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projects so yeah it's kind of end to end
 

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projects so yeah it's kind of end to end
machine<00:02:37.120><c> learning</c><00:02:37.450><c> yeah</c><00:02:37.780><c> I'm</c><00:02:37.870><c> excited</c><00:02:38.080><c> about</c>

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machine learning yeah I'm excited about
 

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machine learning yeah I'm excited about
that<00:02:38.349><c> one</c><00:02:46.590><c> yeah</c><00:02:47.620><c> a</c><00:02:47.980><c> couple</c><00:02:48.220><c> new</c><00:02:48.340><c> projects</c>

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that one yeah a couple new projects
 

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that one yeah a couple new projects
project<00:02:49.690><c> called</c><00:02:49.810><c> cube</c><00:02:50.049><c> flow</c><00:02:50.350><c> that's</c><00:02:50.890><c> hit</c><00:02:51.280><c> the</c>

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project called cube flow that's hit the
 

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project called cube flow that's hit the
scene<00:02:51.640><c> over</c><00:02:52.450><c> the</c><00:02:52.540><c> last</c><00:02:52.660><c> couple</c><00:02:52.870><c> years</c><00:02:53.049><c> and</c><00:02:53.530><c> is</c>

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scene over the last couple years and is
 

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scene over the last couple years and is
really<00:02:54.100><c> starting</c><00:02:54.580><c> to</c><00:02:54.640><c> hit</c><00:02:54.880><c> the</c><00:02:55.239><c> inflection</c>

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really starting to hit the inflection
 

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really starting to hit the inflection
points<00:02:56.560><c> I'm</c><00:02:57.250><c> curious</c><00:02:57.489><c> to</c><00:02:57.610><c> see</c><00:02:57.640><c> how</c><00:02:57.940><c> that</c><00:02:57.970><c> goes</c>

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points I'm curious to see how that goes
 

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points I'm curious to see how that goes
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it's a very broad project kind of
 

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it's a very broad project kind of
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reminds me of the early spark days when
 

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reminds me of the early spark days when
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spark wasn't just ETL and batch data
 

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spark wasn't just ETL and batch data
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processing it was also machine learning
 

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processing it was also machine learning
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it was also graph processing it was also
 

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it was also graph processing it was also
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streaming we're seeing us again with
 

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streaming we're seeing us again with
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coop flow where it's not just one focus
 

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coop flow where it's not just one focus
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but there's actually multiple things
 

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but there's actually multiple things
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going on which really attracts a lot of
 

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going on which really attracts a lot of
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different people and gets them together
 

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different people and gets them together
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and get some thinking about the problem
 

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and get some thinking about the problem
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yeah<00:03:33.390><c> it's</c><00:03:34.390><c> my</c><00:03:34.750><c> favorite</c><00:03:34.959><c> things</c><00:03:35.319><c> about</c><00:03:35.530><c> yeah</c>

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yeah it's my favorite things about yeah
 

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yeah it's my favorite things about yeah
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I mean so obviously seeing all these
 

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I mean so obviously seeing all these
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people there's lots of familiar faces
 

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people there's lots of familiar faces
lots<00:03:40.270><c> of</c><00:03:40.390><c> new</c><00:03:40.510><c> talks</c>

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lots of new talks
 

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lots of new talks
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I love the organizers of course I love
 

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I love the organizers of course I love
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you guys I see you are yeah I see you
 

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you guys I see you are yeah I see you
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guys every year I think just more and
 

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guys every year I think just more and
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more reach you know making these things
 

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more reach you know making these things
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free and available which I know they are
 

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free and available which I know they are
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so that lots people can can see the
 

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so that lots people can can see the
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talks and probably more I would say more
 

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talks and probably more I would say more
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data science stuff it's kind of my
 

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data science stuff it's kind of my
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personal interest so but there's a ton
 

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personal interest so but there's a ton
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of serverless stuff here which is great
 

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of serverless stuff here which is great
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yes obviously a lot of functional stuff
 

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yes obviously a lot of functional stuff
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given this conferences sort of origins
 

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given this conferences sort of origins
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you know I I personally don't see too
 

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you know I I personally don't see too
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much Scala in the data science world and
 

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much Scala in the data science world and
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I think that inhibits some of the
 

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I think that inhibits some of the
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content some of the data science content
 

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content some of the data science content
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at this conference which you know yes I
 

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at this conference which you know yes I
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would like to see more like data science
 

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would like to see more like data science
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machine learning
 

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machine learning
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