►
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
A
B
I'm
doing
fantastic
had
a
nice
little
break
over
the
weekend
and
happened
of
the
year.
Thanks
for
having
me
I,
of
course,
of
course.
Well
Raul.
You
know
why,
don't
you
tell
us
a
little
bit
about
yourself,
sure
absolutely
yeah,
so
my
name
is
Raul
Singh
I'm,
one
of
the
principals
at
Anan
Corporation
and
you
know,
I've
worked
in
technology
since
I
was
I,
guess
in
high
school
I've
done
a
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
document
management
and
somewhere
in
that
there
was
a
bunch
of
integration
work.
And
so
that's
that's.
When
I
became
hardcore
data
nerd-
and
you
know-
basically
that's
how
I
got
introduced
to
the
world-
we
are
in
now
working
with
data
yeah,
excellent
excellent.
So
so
what
plug
did
you
start
using
Cassandra
yeah?
It's
a
good
question.
B
B
And
you
know
up
until
that
point:
I
had
been
primarily
doing.net,
I
had
done
Java
before,
but
it
was
primarily.net,
and
so
you
know
I
tried
to
find
ways
to
get
into
bigdata
with.net
and
there
really
were
many
options.
I
mean
right
now,
there's
like
a
spark
runner
for
C
sharp.
But
what
interested
me
most
about
Big
Data
was
the
ability
to
you
know,
brawl
and
process
and
index,
because
I
was
a
big
fan
of
search.
A
B
Elasticsearch
wasn't
quite
there,
but
you
know
the
the
data
processing
for
surge
for
tons
of
information.
I
mean
that's
really
what
you
know
the
mapreduce
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
cutting's
work.
He
he
also
wrote
Lucine.
He
also
wrote
the
dupe
and
there's
a
lot
of
like
solid
threads
of
like
what
doug
cutting
has
done
for
my
career.
B
And-
and
you
know,
the
there
was
a
project
that
I
was
working
on
with
the
United
States
Patent
Trademark
Office,
which
I
was
brought
in
as
a
solar,
leucine
expert
and
the
the
data
processing
the
data
wrangling.
If
you
will
was
being
done
in
data
Stacks,
it
was
an
early
version
of
data.
Stacks
I
want
to
say
datastacks
three,
maybe
get
a
Stacks.
B
We
were
processing
the
solar
and
his
Anna
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
A
B
Like
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.
If,
if
not,
you
know
try
to
use
data
stack,
but
it
was,
it
was
we're.
We're
gonna
need
to
process
all
this
information.
B
You
know
we
can
co-locate
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
real-time
indexing.
I
mean
there
was
a
lot
of
amazing
like
Universal
possibilities
that
opened
up
and-
and
you
know
up
until
then,
because
I
was
in
the.net
world.
A
B
Server
a
lot
to
yup
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
sparkworld
because
of
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
also
have
a
have
a
net
background
and
you
know:
I've
I've
used
Cassandra
with.net.
Now,
okay,.
B
B
A
B
Luke
Tillman,
who
was
who
was
Endeavor
all
at
the
time,
was,
was
kind
of
like
data
stacks's
go
to
um.net
guy
and
yeah.
I'd
I'd
worked
with
him
a
little
bit
too
back
in
those
days
just
kind
of
going
back
and
forth.
You
know
sharing
ideas
but
yeah,
yeah,
yeah
and,
and
you
know
the
I
had
done
a
bit
of
I
think
it's
called
ikvm.
B
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,
NLP
stuff
was
all
in
Java.
It
just
made
sense
not
to
rewrite
it.
Just
hey.
Let's
just
aim
for
it.
You
know,
and
you
know,
actually
Java
compiled
and
running
in.net
is
faster
than
Java.
If
you
can
imagine
so
that's.
B
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
the
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
gonna
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
calling
on
systems.
It
was
you
know
it.
It
lasted
from
I
would
say
2000
and
one
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
who
paid
the
bills
paid
salaries,
but
yeah
we're
trying
to
do
too
much.
B
We
tried,
like
the
other
principal
Eric
and
I
tried
to
get
back
into
business.
Didn't
really
do
much,
because
we
both
had
day
jobs
and
it
was
in
it-
was
in
2000
and
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
and.
B
Right
I
said:
I
had
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
experience,
in.net
content
management
portals
and
whatnot,
and
so
I
used
to
joke
in
the
beginning
of
the
company.
My
my
title
was
called
sermon
because
I
just
do
you
know,
excuse
my
language
just
do
stuff.
It's
like
what
is
this
title.
Ceo
mean
the
internet.
B
B
You
know:
applications
on.net,
SQL,
Server,
Etc
to
his
signature,
spark
and
and
and
so
that
what
I
mean
by
fast
data.
Now
we
talk
about
fast
data
like
spark
Kafka
Pulsar,
there's
a
lot
more
things
out
there
now
I
I,
think
looking
at
the
old
Hadoop
stack
and
looking
at
Cassandra
and
Spark
I
was
like
there's
no
way
I'm
gonna
waste.
My
time
with
that,
like
there's,
just
all
right,
yeah.
No,
even
if
people
want
to
pay
me
I,
don't
want
to
mess
with
that
stuff.
B
It
was
just
so
dirty
you
know,
but
because
of
that
focus
on
Cassandra,
you
know,
and
we
had.
We
have
done
a
lot
of
Enterprise
content
management,
Enterprise
customer
experience
stuff
in
the.net,
World
site
core.
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
gonna,
do
we're
going
to
consider
that's
what
we're
gonna
do
and
because
of
that
Focus,
because
it
this
is
the
thing
about
focus
when
you,
when
you
focus
you
zoom
in,
and
you
realize
this
little
thing
is
actually
this
big
Rayo
and
that's
a
good
way
to
put
it
yeah,
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
want
to
become.
You
know,
number
one
Cassandra
consulting
company
and
it's
not
about
volume.
It's
about
quality.
B
It's
about.
You
know
producing
great
people
that
can,
you
know,
serve
other
clients
right
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
Cassandra
world
became
more
fun,
it
wasn't
just
hey.
B
You
know,
because
so
many
big
companies,
like
you
know,
oh
the
pantheon
of
companies
that
use
Cassandra
I,
don't
have
to
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
bees,
all
these
people,
they
use
Cassandra,
here's
why
they
use
it.
B
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!
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
in
sales.
It's
understanding
the
customer
and
understanding
the
value.
Building,
Partnerships,
right
and
I.
B
B
And
and
plan
uml
and,
like
you
can
code
a
architecture
really
quickly
these
days.
But
you
know
the
fascinating
thing
about
the
Cassandra
world
is.
Is
that
every
especially
the
last
couple
of
years
there's
news
gun
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
or
you
know
the
Apache
mailing
list,
the
now
on
Discord.
You
know
we
have
our
community
there,
there's
a
slack
community
that
patches,
you
know,
slack
Community,
it's
a
fun.
B
B
Think
what
what
kind
of
led
to
just
starting
that
up
sure?
So
it's
it's
funny
I
gave
a
presentation
about
the
work
I
had
done
on
the
USPTO
project
at
a
data
engine
it
was
well,
it
was
called
Data,
Wranglers
DC,
which
actually
quite
we
should
change
our
name
to
data
Engineers
DC,
but
that
that
was
the
name
of
the
group.
B
A
B
A
B
Really
cool
and
we
had
monthly
meetups
around
the
corner
here
at
the
GW
Campus
Pizza
soda
everybody
comes
and
it's
fun
and
then
pandemic
happens
and
we
couldn't
having
person
right
up.
So
you
know
the
first
group
we
started
to
do
virtually
was
Cassandra
lunch
and
we
had
Cassandra,
DC
and
I,
actually
organized
still
organized
Casino
Chicago,
because
I
was
traveling
there
a
lot
and
we
had
to
meet
up
there
yeah
and
we
had
in-person
meetings
meetups
for
those
as
well.
B
Yeah,
okay,
sorry,
yeah
and
it
had
become
Dorman
for
a
while.
So
because
I
was
traveling
there
I
said
you
know,
hey,
let
me
let
me
see
if
I
can
get
this
stuff
started
up
again
and
so
when
and
there's
you
know,
there's
up
there
too.
There's
a
couple.
Other
companies
that
use
Houston
that
you
know
I
think
like
some
of
the
insurance
companies
up
there.
They
use
it
as
well.
B
So
so
Casino
lunch
was
the
easiest
thing
to
do
because
well,
I
had
a
lot
to
talk
about,
but
I
knew
I.
Could
you
know
potentially
get
other
people
to
talk
about
it
and
I
was
like
there
isn't
a
weekly
and
it's
kind
of
almost
like
it's,
not
really
a
podcast,
but
I
guess
like
we
could
probably
put
it
out
there,
but
it
was
more
about.
Let's
keep
the
let's
keep
the
momentum
going
right.
A
B
B
Substantial
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.
We.
A
B
A
B
So
so
that
was
Casino
lunch,
yeah,
yeah
and
people
started
to
ask
about
data
Wranglers
DC,
hey
winner.
You
guys
going
to
do
something
and
and
with
a
big
part
of
what
we
do.
Is
data
engineering.
Now
data
Wranglers
DC.
It
had
an
open
call
for
paper.
If
you
will
basically
anything
to
do
with
data
engineering
data
wrangling,
it
doesn't
matter
what
database
you
use.
It's
just
you
know
so
so
it's
kind
of
like
we're
hedging,
our
bat.
B
We
get
to
talk
about
or
what
we're
passionate
about
we're
just
Cassandra
and
we
get
to
talk
about
data
injuring,
but
at
the
same
time
we
get
to
invite
people
to
give
talk.
So
we
had
some
the
decodable
guys
game
and
talked
about
their
thing.
We
had
the
dremio
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.
B
Sure
what's
interesting,
is
we
get
to
cross,
promote
and
say:
hey
come
today's
launcher
come
to
Cassandra,
so
we
get
something!
People
we're
curious,
they're
curious
about
Cassandra
and
they
come
on
they're,
like
oh
I,
didn't
know
what
you
said
to
do
that
I'm
like
well.
That's
the
purpose
of
the
talk
is
for
the
lunch
is
for
people
that
don't
know.
What's
going
on
with
Cassandra
to
come
and
learn
about
it.
A
B
A
B
Know
it's
like
I
think
you
and
I
talked
about
it
at
some
point
which
is
like
and,
and
you
even
if
I
haven't
told
you
this
one
of
my
biggest
gripes
or
or
people
that
I
interview
or
people
that
I
encounter
and
I
say
hey.
If
you
you
know
what
Cassandra
is
and
they're
like
yeah,
it's
just
a
nosql
database
like
Okay
cool.
So
tell
me,
you
know
what
your
experience
is
and
it's
like
well
I'd
use,
bigtable.
B
A
B
You
know
Pick
10
of
them
catch
up,
and
you
know
it's
a
conversation.
So
if
somebody
has
a
question,
they
can
go
talk
to
whoever
presented
and
say:
hey
I
saw
your
presentation,
oh
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
harder.
You
know
it's
like
the
teacher
has
to
be
an
expert
before
they
can
teach
somebody
else
so
I'm
not
as
selfish
for
us.
B
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.
You
know
project
that
I
was
working
on
where
I
had
to
get
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
sure
enough.
You
know
I
found
anant.
B
B
B
This
stuff
is
it's
just
easy
to
get
started
with
so
right,
it's
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
a
month
ago
and
I
had
never
used
table.
Plus
I
was
just
seeing
screenshots
of
it
and
I.
B
B
A
B
Yeah,
just
just
put
it
over
here
in
this
repo
and
it'll
it'll
go
right
up
there
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
get
pod
and
which
got
used
a
lot.
Yeah
yeah,
yeah
yeah
is
awesome.
I.
B
B
We
had
taken
over
from
somebody
that
was
maintaining
it
and
we
kind
of
continued
maintaining
it
now,
and
you
know
the
the
whole
awesome
Movement
by
the
way.
You
know
it's
amazing,
just
student,
it's
so
interesting,
you
have
to
hold
internet,
you
have
these
search
engines,
and
this,
like
immersion
Behavior,
comes
out
where
people
make
a
markdown
file
with
what
they
like,
and
you
find
so
much
value
because
you
see
one
human
saying
hey
this
is
this:
is
it
this
is
what
you
need
to
know.
B
B
Well,
hey
Rahul!
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
or
not.
This
has
just
been
really
great.
So
thank
you
very
much
awesome
yeah
thanks.
So
much
for
for
having
me
I'm,
really
glad
to
know
you
and
to
work
with
you
on
the
Planet
Cassandra
stuff,
yeah
great
job
on
this
podcast.