►
From YouTube: The Apache Cassandra® Corner podcast w/ Rahul Singh
Description
In this episode, Aaron catches up with Rahul Singh of Anant Corporation. They had a great discussion about how Rahul started Anant, as well as some of the challenges of working with Cassandra (and other "big data" tech) in the C#/.Net world. Additionally, they go on to discuss how Anant's "Cassandra Lunches" (on YouTube) came about, as well as ways to help newer folks learn the Cassandra ecosystem.
A
Pletz
well
hello,
everyone
and
welcome
back
to
the
Apache
Cassandra
Corner
podcast.
Today,
I'm
sitting
down
with
rul
Singh.
B
Rul,
how
are
you
doing
I'm
doing
fantastic,
had
a
nice
little
break
over
the
weekend
and
have
a
of
year
thanks
for
having
me
hey,
of
course,
of
course.
Well
Raul!
B
You
know
why,
don't
you
tell
us
a
little
bit
about
yourself
sure
absolutely
yeah,
so
my
name
is
R
Singh
I'm,
one
of
the
principles
at
an
non
Corporation
and
you
know
I've
worked
in
technology
since
since
I
was
I,
guess
in
high
school
I've
done
built
a
hosting
company
built
the
data
center
and
after
that
got
into
what
people
call
these
days.
B
You
know
content
Management
Systems,
but
it
was
just
a
just
a
starting
starting
out
with
portals
and
CMS
and
docrine
management
and
somewhere
in
that
there
was
a
bunch
of
integration
work,
and
so
that's
that's.
When
I
became
hardcore
data,
nerd
Goa
gotta-
and
you
know
basically
that's
how
I
got
introduced
to
the
world.
We
are
in
now
working
with
beta
yeah
excellent
excellent.
So
so
what
point
did
you
start
using
Cassandra
yeah?
That's
a
good
question.
B
You
know
I
had
heard
about
Cassandra
when
I
was
so
back
in
201
11
2012.
You
know,
I
had
started
to
experiment
with
big
data
Technologies.
Well
traditionally
back
then
it
was
Hado
and
right.
You
know.
Map
Ru
and
Spark
is
kind
of
either
either
still
a
baby
or
not
quite
out
yet.
B
Yeah
and
you
know
up
until
that
point-
I
had
been
primarily
doing-
net
I
had
done
Java
before,
but
it
was
primarily
doet
and
so
you
know
I
tried
to
find
ways
to
get
into
Big
Data
with
net,
and
there
really
weren't
many
options.
I
mean
right
now,
there's
like
a
spark
runner
for
a
c.
But
what
interested
me
most
about
Big
Data
was
the
ability
to
you,
know
cwl
and
process
and
index,
because
I
was
a
big
fan
of
search.
A
B
Pretty
good
knowledge
about
solar
and
and
elastic
search
wasn't
quite
there,
but
you
know
the
the
data
processing
for
search
for
tons
of
information
I
mean
that's
really
what
you
know
the
map
produce
was
built
for.
So
that's
what
interested
me
about
it
and
you
know
even
the
open
source
Hadoop
it
came
from.
You
know:
Doug
cuttings
work,
he
he
also
wrote
Luc.
A
B
And-
and
you
know,
the
there
was
a
project
that
I
was
working
on
with
the
United
States
Paton
trademark
office,
which
I
was
brought
in
as
a
solar,
Lucine
expert
and
the
the
data
processing
the
data
wrangling.
If
you
will
was
being
done
in
data
Stacks,
it
was
was
early
version
of
data.
B
Stx
I
want
to
say
data,
STX
3,
maybe
data,
STX
4,
you
know
and
it
and
it
had
all
the
components
that
we
were
trying
to
use
it
had
solar
it
had
it
had
spark
it
had
Cassandra
as
a
way
of
store
information.
Unfortunately,
you
know
data
Stacks
did
not
have
the
latest
version
of
solar,
so
we
had
a
separate
cluster
for
solar,
but
we
were
ingesting
I,
don't
know
120
million
patents
from
across
the
world
into
Cassandra
first
and
then
from
Cassandra.
B
We
were
processing
into
solar
and
cander
was
great
for
that,
because
not
all
patent
schemas
are
the
same
they're
similar
but
they're,
not
all
the
same
sure,
and
so
we
could
bring
it
all
into
one
big
massive
table
and
then
process
it
in
the
way
we
needed
it
to
for
the
search
use
cases
and
and
I.
It
blew
my
mind
that
we
could
have
two
different
data
centers
and
that
the.
B
A
B
Able
to
get
the
the
best
you
know
the
fastest
parser
I
actually
wrote
a
par
for
for
solar
and
I
couldn't
get
it
to
work
inside
the
the
data
stack
solar,
but
but
that
concept
of
wow.
This
is
amazing.
You
drop
data
here.
It
just
magically
appears
over
here.
I.
B
This
is
like
the
Dropbox
of
data
man.
This
is
amazing,
so
I
I
fell
in
love
with
Cassandra
after
that
project,
because
every
other
Enterprise
search
project
that
I
was
involved
with
I
would
always
try
to
figure
out
a
way
to
use
Cassandra.
B
If,
if
not,
you
know
try
to
use
data
set,
but
it
was,
it
was
we're
we're
going
to
need
to
process
all
this
information.
You
know
we
can
collocate
the
spark
processes,
even
if
we're
not
using
data
stacks
and
as
the
data
comes
in
here,
it's
going
to
get
replicated
here
and
we
can
do
other
cool
stuff,
not
to
mention
realtime
indexing
I
mean
there
was
a
lot
of
amazing,
like
Universal
possibilities
that
opened
up
and
and
you
up
until
then,
because
I
was
in
the
net
world.
A
B
Server
a
lot
to
bring
data
in
process.
It
even
use
SQL
server
for
some
of
the
the
crawl
task
tables
and
things
like
that
and
so
I
got
pushed
into
Cassandra
Java
Scala
spark
World
because
of
a
of
a
job.
It
was
a
job,
but
that's
cool,
that's
cool!
You
know
it's!
It's
funny
that
you
mentioned
coming
from
the
net.
World
I
also
have
a
have
AET
background,
and
you
know:
I
I've
used
Cassandra
withn
net.
Now,
okay,
I
haven't.
B
It's
like
always,
you
always
find
Java,
and
then
you,
then
you
find
like
Python
and
and
it's
like
I
always
found
that
when
I
was
looking
for
something
with
like
C
to
work
with
Cassandra
I
was
ending
up
on,
like
the
third
page
of
my
Google
search
before
I
finally
found
something
that
was
kind
of
close
and
that
I
could
I
could
draw
from
so
yeah
I
I
get
it
I
get
it
man,
there
was
I,
don't
know
if
they're
still
around
but
so
see
like
Bend
makes
AA,
which
is
the
jbm
version
of
AA,
and
there
was
a
guy
who
made
theet
version
a.net
and
he
was
Hardcore
into
taking
ideas
from
Scala
and
and
like
from
AA
and
putting
it
into
doet.
B
But
he
also
was
a
big
fan
of
Cassandra
and
sure,
because
I
think
the
original
use
case
he
had
built
aad
doed
for
was
some
sort
of
like
gaming
ad
engine
which
had
a
lot
of
things
happening
and
they
would
use
Cassandra
as
a
journal
for
the
AA
actors,
and
so
I
learned
a
lot
from
that
open
source
project,
and
you
know
I
think
he
was
the
most
serious
user
of
Cassandra
andn.
B
That
I
would
say
that
for
sure
and
then
there
was
like
all
the
apps
data
sexs
that
put
out
there.
You
know
like
killer.
B
A
B
Yeah
and-
and
you
know,
the
I
had
done
a
bit
of
I-
think
it's
called
ikvm.
So
basically,
you
can
take
Java
libraries,
jars
and
compile
them
into
net
dlls
cool,
and
you
know
for
because,
in
some
of
the
search
stuff,
that
I
was
working
with
a
lot
of
the
content
extraction,
n
LP
stuff
was
all
in
Java
and.
A
B
It
it
just
made
sense
not
to
rewrite
it.
Just
hey,
let's
just
import
it,
you
know,
and
you
know
actually
Java
compiled
and
running
in.net
is
faster
than
Java.
If,
if
you
can
imagine
so.
B
Cool
then
so
so
now,
we'll
like,
let's,
let's
fast
forward
a
little
bit
you're
the
CEO
of
an
not
we're
one
of
the
principles
for
anant
right
yeah.
So
how
did
anant
kind
of
come
to
be
sure?
B
So
you
know
I've
been
in
in
entrepreneurial
venture,
since
I
was
in
high
school,
and
this
is
my
I
want
to
say
my
third
serious
Venture,
my
first
one
I
built
a
hosting
company
as
I
mentioned
earlier,
and
it
was
one
Red
Hat
Linux
box,
running
off
of
a
T1
that
my
brother
was
trying
to
start
a
business
and
he
wasn't
getting
much
traction.
So
I
was
like
I'm
just
going
to
start
hosting
websites,
but
but
this
and
then
that
grew
into
a
Data
Center
and
we
got
out
of
that
business.
B
But
the
second
company
was
to
actually
call
it
on
systems.
It
was
you
know
it
it.
It
lasted
from
I
would
say
2001
to
maybe
2005
2006,
and
you
know
I
just
didn't
know
enough
about
business.
To
to
I
mean
we
had
mediocre
success,
I
mean
paid
the
bills
paid
salaries,
but
we're
trying
to
do
too
much.
So
when
in
2008
200
between
2008
201,
we
tried,
like
the
other
principal
Eric
and
I
tried
to
get
back
into
business.
B
Didn't
really
do
much,
because
we
both
have
day
jobs
and
it
was
in
it-
was
in
200
early
2010
late
2010,
where
I
was
in
school
and
I
had
time
and
I
said
I'm
just
I
I
after
I
finished
school,
which
was
my
13-year
undergrad
track.
I
was
finishing
school.
B
Right
I
said:
I
have
the
time
to
do
this
and
I
don't
want
to
go
work
somewhere
else
right,
I
want
to
just
work
on
the
stuff
that
I
want
to
work
on,
and
so
you
know
we
started
off
doing
websites
again,
building
on
experien,
in.net
content
management
portals
and
whatnot,
and
so
I
used
to
joke
in
the
beginning
of
the
company.
My
my
title
was
called
servant
because
you
just
do
you
know,
excuse
my
lame.
You
just
do
stuff
like
what
does
this?
What
does
title
CEO
mean
no.
B
Compan,
but
over
the
years,
I
would
say,
as
the
company
Focus,
so
you
know,
since
2013
2014,
we
started
to
go
down
the
route
of
not
even
big
data.
I
would
say
fast
data
because
we
went
from
traditional.
You
know:
applications
on
net
SQL,
Server,
Etc,
toand,
spark
and
and
and
so
that
what
what
I
mean
by
fast
data.
Now
we
talk
about
fast
data
like
spark
koffka
pulse.
B
A
B
Yeah
know,
even
if
people
want
to
pay
me,
I
didn't
want
to
mess
with
that
stuff.
It
was
just
so
dirty.
You
know
y,
but
because
of
that
focus
on
Cassandra,
you
know,
and
we
had.
We
have
done
a
lot
of
Enterprise
hunting
management,
Enterprise
customer
exp
stuff
in
the.
net
world
sitecore.
You
know
being
one
of
the
tools
out
there
as
we
saw
our
work
in
Cassandra,
just
just
grow
and
grow
and
grow,
and
it
was
just
more
fun.
B
We
decided,
okay,
we're
GNA,
do
we're
GNA
do
cander,
that's
what
we're
going
to
do
and
because
of
that
Focus,
because
it
this
is
the
thing
about
focus
when,
when
you
focus
you
zoom
in
you
realize
this
little
thing
is
actually
this
big
righto
and
that's
a
good
way
to
put
it
yeah,
it's
it's
it's
just.
You
can
just
dig
deeper
and
deeper
into.
How
do
you
become
you
know
for
us,
it's
like
we.
We
want
to
become.
You
know,
number
one
Cassandra
consulting
company
and
it's
not
about
volume.
B
It's
about
quality.
It's
about.
You
know
producing
great
people
that
can,
you
know,
serve
other
clients,
and
it's
it's
Cassandra
is
is
just
this
one
thing,
but
it's
like
the
data
Ops,
the
devops,
the
architecture,
the
API
architecture.
You
know
how
do
we
then
use
Kafka
and
and
cqrs,
for
you
know,
event
driven
platforms.
How
do
you
do
transactions
and
analytics
at
the
same
time?
So
as
we
dove
in
right,
the
cassander
world
became
more
fun.
B
B
I've
heard
that
I've
heard
people
call
it
the
database
of
Last
Resort
yeah
and
there's
there's
a
little
bit
of
Truth
to
that
yeah
and-
and
you
know
it's
it's
for
you
know
there
are
a
lot
of
competitors,
but
when
it
comes
down
to
the
open
option,
with
the
most
I
would
say,
the
widest
community
of
practitioners
cassander
takes
that
you
know,
because
so
many
big
companies,
like
you,
know
all
the
pantheon
of
companies
that
Ed
Cassandra
I,
don't
have
to.
B
You
know
rattle
them
off,
but
there's
so
many
people
that
have
been
using
it.
They
have
experience
it's
a
safe
bet.
It's
not
exactly
like
a
IBM
choice
or
an
oracle
choice,
but
it's
pretty
cool.
If
you
can
say,
hey,
look:
Apple
Netflix,
Spotify
Walmart,
these
all
these
people,
they
use
Cassandra,
here's
why
they
use
it.
This
is
why
we
need
to
use
it
and
every
new
implementation
is
an
exciting
Endeavor
to
like
build
something
of
substance.
That's
long,
lasting
right!
B
You
don't
just
start
with
this
thing
for
like
a
temporary
application.
It's
for
something!
That's
long,
lasting
for
a
business,
so
I
mean
all
that.
Really,
as
we
grew
as
a
company,
my
role
became
more
training
internally
client
facing
you
know,
advisor
to
clients
but
realistically
sales.
It's
understanding
the
customer
and
understanding
the
value.
Building,
Partnerships
and
I
I
I
think
the
the
code
part
of
it
went,
went
from
like
90%
code
to
maybe
you
know,
50%
code
to
maybe
I
would
say
these
days.
B
It's
I
look
at
architecture
as
as
a
type
of
programming,
because
I
use
mermaid
to
do
diagrams.
B
And
and
uml
and
like
you
can
code,
a
architecture
really
quickly
these
days,
but
you
know
the
fascinating
thing
about
the
cassander
world
is.
Is
that
every
especially
the
last
couple
years
there's
new
stun
coming
out?
There's
always
something
to
learn
from
other
practitioners.
There's
always
something
to
learn
from
the
community.
The
mailing
list.
That's
out
there.
You
know
the
pat
mailing
list,
the
now
on
Discord.
You
know
we
have
our
community
there,
there's
a
slack
Community
to
pack.
You
know
slack
Community,
it's
a
fun.
B
A
Right,
that's
for
sure
for
sure.
So
you
know
you.
Actually
you
know
with
with
a
n
you,
you
run
what
is
it
like
like
a
Cassandra
and
then
there's
also
a
a
data
engineering.
B
Lunch
I
think
what
what
kind
of
led
to
to
starting
that
up
sure.
So
it's
it's
funny
I
gave
a
presentation
about
the
work
I
had
done
on
the
US
PTO
project
at
a
data
it
was
well
was
called
Data,
Wranglers
DC,
which
actually
quite
great.
We
should
change
our
name
to
data
Engineers
DC,
but
that
that
was
the
name
of
the
groups.
B
Okay
and
I
talked
about
you
know,
data
processing,
its
scale
and
serving
its
scale,
and
the
guy
that
was
the
organizer
was
moving
from
the
area
and
he's
like
hey
I.
Think
you'd
be
great.
Do
you
want
to
take
over
this
group
this.
A
B
Like
201
15,
maybe
2016,
if
I
remember
correctly
and
so
I
I
just
took
over
the
group
and
it's
a
part
of
data,
Community,
DC
and
I'm.
Actually
a
board
member
on
data
Community
DC,
which
is
a
collection
of
14
meetup
groups
in
DC
area
that
are.
A
B
Really-
and
we
had
monthly
meetups
around
the
corner
here
at
the
GW
campus,
you
know
Pizza
soda
everybody
comes
and
it's
fun
and
then
pandemic
happens
and
we
couldn't
have
any
person
up.
So
you
know
the
first
group
we
started
to
do
virtually
was
cassander
lunch
and
we
had
C
CER,
DC
and
I
actually
organized
still
organized
cassander
Chicago,
because
I
was
traveling
there
a
lot
and
we
had
meet
up
yeah
and
we
had
inperson
meetings
meetups
for
those
as
well.
B
A
B
Yeah
and
it
had
become
dormant
for
a
while,
so
because
I
was
traveling
there
I
said
you
know,
hey,
let
me
let
me
see
if
I
can
get
the
stuff
started
up
again
and
so
when
and
there's
you
know,
there's
Grubb
up
there
too
there's
a
couple.
Other
companies
that
use
C
that
you
know
I
think
like
some
of
the
insurance
companies
up
there.
They
use
it
as
well.
So
so
Cass
lunch
was
the
easiest
thing
to
do
because
well,
I
had
a
lot
to
talk
about,
but
I
knew
I.
B
B
B
Number
of
them
out
there
that's
awesome.
I
was
just
like
what
so
it's
it's
one.
In
one
sense,
it's
good
marketing
for
us,
but
in
another
sense
it's
actually.
This
is
the
reason
why
we
do
it.
We
want
all
of
our
team
members
to
be
comfortable
public
speaking
because
as
consultants,
our
clients
ask
us
to
teach
them
what's
what
they
should
do.
They
have
lead,
and
so
we
want
our
team
members
to
be
very
comfortable
in
front
of
clients
to
talk
about
things
with
conviction.
Hey
this.
A
B
And
so,
when
you're,
when
you
do
presentations,
you
get
that
voice
and
I
liar
that
some
of
my
mentors
forced
me
into
giving
Meetup
talks
when
I
was
really
young
and
I
realized
that
that
was
the
best
thing
they
could
have
done.
They
said
hey
I
need
somebody
to
talk
on
this
topic.
Can
you
do
it
and
I
was
like
okay.
A
B
Know
so
so
that
was
cassan
Lune,
yeah,
yeah
and
people
started
to
ask
about
data
Wrangler
DC,
hey
winner,
you
guys
goingon,
to
do
something
and
and
with
a
big
part
of
what
we
do.
Is
data
engineering.
Now
data
Wrangler
DC
it
had
an
open
call
for
pay.
If
you
will
basically
anything
to
do
with
data
engineering
data
wrangling,
it
doesn't
matter
what
database
you
use
it
just
you
know
so
so
it's
kind
of
like
we're
hedging.
Our
bet.
B
We
get
to
talk
about
our,
what
we're
passionate
about,
which
is
Cassandra
and
we
get
to
talk
about
data
injuring,
but
at
the
same
time
we
get
to
invite
people
to
give
talks.
So
we
had
some
the
decodable
guys
game
talked
about
their
thing.
We
had
the
dro
folks
come
and
talk
about
Apache
Iceberg.
So
it's
a
it's
a
fun
way
to
get
new
folks
learn
from
new
folks
and
it's
it's
kind
of
interesting.
You
know,
depending
on
what
we're
talking
about,
we
get
a
lot
more
viewers
live
viewers.
A
B
Sure,
but
what's
interesting
is
we
get
to
cross,
promote
and
say:
hey,
come
to
data
Engineers
lunch
or
come
to
cassand
lunch,
so
we
get
some
people
we're
curious,
they're,
curious
about
cassander
and
they
come
on
they're.
Like
oh
I,
didn't
know.
K
could
do
that
and
like
well.
That's
the
purpose
of
the
talk
is
for
the
lunch
is
for
people
don't
know.
What's
going
on
with
casser
to
come
and
learn
about
it?
Oh
that's
awesome.
B
That's
kind
of
a
nice
little
nice
little
side
effect
when,
when
yeah
you
can,
you
can
kind
of
do
some
cross-pollination.
B
Know
it's
like
I
think
you
and
I
talked
about
it
at
some
point
which
is
like
and
any
even
if
I
haven't
told
you
this
one
of
my
biggest
gripes
are:
are
people
that
I
interview
or
people
that
I
encounter
and
I
say
hey
you
do
you
know
what
Cassandra
is
and
they're
like
yeah,
it's
just
a
no
SQL
database
like
Okay
cool.
So
so
tell
me,
you
know
what
your
experiences
and
it's
like.
Well,
I've
used
big.
B
B
Awesome
but
but
the
because
there's
so
much
out
there
now
when
when
I
do
have
to
get
new
team
members
trained
up
or
if
I
have
to
initially
it
was
like
go
to
all
the
data.
Stxs
Academy
stuff
go
learn
that
which
is
still
like
the
first
thing:
I
tell
people
if
they
don't
know
anything
like
go,
do
this
right
right
and
then
I'm
saying:
okay:
here
are
all
of
the
cassan
lunges.
You
know
Pick
10
of
them
catch
up,
and
you
know
it's
a
conversation.
B
So
if
somebody
has
a
question,
they
can
go
talk
to
whoever
presented
and
say:
hey
I
saw
your
presentation.
Well,
you
know
and
that's
just
kind
of
the
culture
of
our
company
we
just
like
to
learn
and
teach
and
communicate
it
makes
us
smarter.
You
know
it's
like
the
teacher
has
to
be
an
expert
before
they
can
teach
somebody
else
so
kind
of
selfish
for
us.
No,
that
that's
good,
though
you
know
and
I
I
think
I've
told
you
this
too,
but
you
know
I
had
a
an
ecosystem.
B
You
know
project
that
I
was
working
on
where
I
had
to
get
I
had
I
had
to
like
write
up
a
document
for
awesome
master,
I
think
on
how
to
get
it,
how
to
get
it
to
work
with
airflow
and
I'd
never
heard
of
airflow,
and
you
know,
I
did
some
searching
and
and
sure
enough.
You
know
I
found
non
cassander
lunch.
B
B
Man
that,
by
the
way,
the
that
awesome
Astra
project,
you
know,
because
we
use
a
lot
of
Astra
for
both
training
people
internally
I
mean
a
lot
of
our
examples.
Use
Astra,
like
all.
B
St
is
it's
just
easy
to
get
started
with
so
and
but,
but
you
have
so
much
more
now
on
there
that
it's,
it's
no
longer
go
figure
out
how
you
were
doing
it
with
Cassandra
and
make
it
work
with
Astra.
It's
like
go
to
this
website.
There's
probably
something
on
there
like
I
was
trying
to
get
table
plus
to
work
with
Astra,
maybe
about
the
month
ago,
and
I
had
never
used
table
plus
I
was
just
seeing
screenshots
of
it,
and
I
was.
A
B
And
it
works,
it
works
really.
Well,
you
know
I'm
I'm,
generally,
okay
at
the
command
line,
but
every
now
and
then
a
is
helpful
and
it's
a
great
resource.
So
thanks
for
doing
that,
you
you
and
Cedric
both
of
whoever
else
worked
on
it
good
work.
Oh.
A
B
A
Of
the
content
around
that
and
and
Cedric's
like.
B
A
A
B
Just
just
put
it
over
here
in
this
repo
and
it'll
it'll
go
right
up
there.
I'm,
like
oh,
that's
awesome
anyway,
so
yeah,
no
I,
I
love
Cedric.
We
I
haven't
chatted
recently,
but
we
used
to
chat
every
three
or
four
weeks,
and
you
know
back
in
the
day.
I
would
say:
I
think
I
turned
him
on
to
G
pod
and
which
got
used
a
lot.
B
A
B
Do
with
it
it's
yeah,
yeah,
yeah
and
actually
the
way
I
got
introduced
to
Cedric
was
actually
he
had
contacted
me
about.
One
of
our
first
projects
in
the
community
was
awesome,
Cassandra,
which
I
had
taken
over
yeah.
We
had
taken
over
from
somebody
that
was
maintaining
it
and
that
we
kind
of
continue
maintaining
it
now,
and
you
know
the
the
whole
awesome
Movement
by
the
way.
You
know
it's
amazing,
just
it's
so
interesting.
B
You
have
the
whole
internet,
you
have
these
search
engines,
and
this,
like
emergent
Behavior,
comes
out
where
people
make
a
markdown
file
with
what
they
like,
and
you
find
so
much
value
because
you
see
one
of
human
saying
hey
this
is
this:
is
it
this
is
what
you
need
to
know.
You
know,
especially
in
this
space
of
AI
like
like,
if
the
AI
is
smart,
I
I
think
they're
getting
most
of
their
wisdom
from
those
awesome
pages,
I
believe
yeah.
That's
a.
A
B
All
right,
well,
hey
rul!
This
has
been
great.
You
know,
thank
you,
for
you
know
taking
some
time
to
sit
down
with
me
for
a
little
bit
and
just
kind
of
kind
of
go.
You
know
kind
of
kind
of
talk
about
you
and
a
little
bit
about
an
not.
This
has
just
been
really
great.
So
thank
you
very
much
awesome
yeah
thanks.
So
much
for
for
having
me
U,
really
glad
to
know
you
and
to
work
with
you
on
the
Planet,
cassander
staff
and
great
job
on
this
podcast.