Graphing the Second Screen - Glen Ford @ GraphConnect London 2013

•

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Neo4j

Glen will show how a graph database is helping zeebox improve both performance and the end-user experience

Technology Entertainment & Humor Business

In
the
beginning…

We
came
up
with

rela?onal
model

from
which
we
can

build
an
EPG.

So,
what
is
the
problem?

An
EPG
looks
like
a
good
ﬁt

for
a
rela?on
database?

An
EPG,
maybe.

But
we
have
poten6ally
1.5
million
EPGs…

we
also
have
a
lot
available
data
sources…

zeebox analyses live TV
to understand the context
of what’s on air…

+
lots
lots
more…

With
some
smart
implementa?on

it
all
worked
well,
but
suﬀers

from
limita?ons,
including
how

oKen
we
can
update
those
EPG’s.

And
we
are/want
to
be
much,

much
more
than
just
an
EPG.

One
problem
to
solve…

What
channel?

What
?me?

Can
Ian
even
see
it?

Now
it
can
be
done

but
it’s
ugly

and
it’s
slow.

We
have
all
the

data.

Is
there
a
smarter

way
to
structure
it?

hSp://www.fanpop.com/clubs/lt-‐commander-‐data/images/31158615/?tle/data-‐photo

Need
to
handle:

Structured
and
Semi-‐Structured

Densely
Connected

High
Read
Rates

Rela?vely
Low
Write
Rates

Dr Who.
S1 EP1

AIRED_ON

Broadcast
AIRED_AT

Time

Channel
AIRED_BY

Dr Who.
S1 EP1

AIRED_ON

Broadcast
AIRED_AT

Time

Channel

AVAILABLE_ON

AIRED_BY

Provider

Dr Who.
S1 EP1

AIRED_ON

AIRED_AT
AIRED_ON

AIRED_AT

Broadcast

Time

Broadcast
AIRED_BY

Channel

AIRED_BY

Time

Channel

AVAILABLE_ON

AVAILABLE_ON

Provider
Provider

$Dr Who. S1 EP1 AIRED_ON AIRED_AT AIRED_ON Broadcast Time Broadcast AIRED_BY Channel MATCH (b:Broadcast)<-‐[:AIRED_ON]-‐(ep:Episode) -‐[:AIRED_ON]-‐>(d:Broadcast) AVAILABLE_ON -‐[:AIRED_BY]-‐>(c:Channel) -‐[:AVAILABLE_ON]-‐>(p:Provider), (d:Broadcast)-‐[:AIRED_AT]-‐>(t:Time) WHERE b.broadcast_id = {JIMs BROADCAST} AND p.provider_id = {IANs PROVIDER} RETURN d,c,t; Provider$

But
what
are
the
numbers?

So
some
early
benchmarks
based
on
7
days

worth
of
broadcast
data.

Running
on
a
2011
MBP,
2.3GHz,
8GB
with
SSD

Neo
1.9,

MySQL
5.1

MySQL

80
seconds

Cypher
1st
Attempt

6
seconds

Cypher
after
tuning

190
milliseconds

Traversal*

42
milliseconds

So
that’s
cool
you
can
make
your
system

faster,
nice.

But
that’s
not
actually
the
really
good
bit.

Deeper
ques?ons
of
the
data…

NARRATED

Little
Britain
Tom
Baker

APPEARED_IN

APPEARED_IN

Dr Who.
Black
Adder

NARRATED

Little
Britain
Tom
Baker

APPEARED_IN

APPEARED_IN

AIRED_ON

Dr Who.

Black
Adder

Time

Broadcast
AIRED_AT

Channel
AIRED_BY

Flexibility
of
the
data…

Image.
Dr Who.

Dr Who.
S1

Dr Who.
S1 EP1

Image.

Represent
the
data
as
it
is,
no
“wedging”

FRANCHISE

Star Trek

EPISODE

Star Trek
S1 EP1

MOVIE

Star Trek
VI

LIVE EVENT

Star Trek
Con. Live
Broadcast

Broadcast
Broadcast

Thank
you.

HAS_EMAIL

glen@zeebox.com

USES_TWITTER

Glen
WORKS_FOR

@glen_ford
HOLDS_ROLE

zeebox

Chief
Architect
HAS_ROLE

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