December 10, 2024 • 7 mins
Ever felt like time is slipping through your fingers, yet somehow you're expected to juggle multiple roles seamlessly? Join me as I navigate the ups and downs of a jam-packed Monday that demanded all my skills, from orchestrating the first of many instructor training evenings to tackling my day-to-day challenges in data analytics. Despite a smaller-than-hoped-for turnout at the training, the commitment of those who showed up was nothing short of inspiring. I'll share insights on managing transitions from kickboxing to strength training, all while underscoring the value of community and teamwork in keeping the classes running smoothly.
Meanwhile, in the world of data, I've embarked on a journey towards greater efficiency and decisiveness. By refining my approach to data pipelines, I've discovered ways to enhance productivity and free up more time for my passion projects. Through stories of tight deadlines and rapid problem-solving, I'll explore how a mindset shift can drive better outcomes, both professionally and personally. Whether you're balancing a hectic schedule or looking to optimize your workflow, this episode promises valuable takeaways on making each moment count.
Meanwhile, in the world of data, I've embarked on a journey towards greater efficiency and decisiveness. By refining my approach to data pipelines, I've discovered ways to enhance productivity and free up more time for my passion projects. Through stories of tight deadlines and rapid problem-solving, I'll explore how a mindset shift can drive better outcomes, both professionally and personally. Whether you're balancing a hectic schedule or looking to optimize your workflow, this episode promises valuable takeaways on making each moment count.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:01):
Alright, well, I'm going to take another chance at
recording this, because everytime I try to record this
episode it keeps deleting.
So here we go.
So it's Monday, happy Monday,here we are, and tonight is the
first night of eight instructortraining evenings.
So for the next eight weekswe're spending about an hour and
a half a night traininginstructors or training folks
(00:23):
how to do strength trainingclasses, and so folks that are
brand new to instructing orfolks that have done kickboxing,
want to know how to do strengthclasses.
We're now teaching them, and Iwas bummed tonight like we had
six or seven people interested.
Only two showed up for thefirst night, so I was really
hoping that more people wouldshow, and so we'll have to be
(00:44):
more intentional andreminder-ish about the trainings
because we're getting tight.
Like there's just it's justtight.
It's hard to get enough handsto run the classes and do it all
, and I'm, for the folks thatare here that are doing it, so
grateful, so appreciative of it.
It just really means a lot.
(01:06):
Had a good day at the day job.
I've learned I need to be morequick and decisive.
Here's an example Some of thestuff you may get, some you may
not.
I do data analytics, I have towrite my own data pipelines.
That means I need to write somesemi-computer code to pull data
(01:26):
from our systems and make ittangible.
And pulling from tons and tonsof data like a couple hundred
terabytes worth of data and, forreference, that's like 50
iPhones, like we'll just sayit's 50 iPhones worth of data
you to pull it and you can'tjust, you have to pull it really
smartly so that you don't spenda lot of computer power pulling
(01:49):
it.
But anyhow, you pull it andI've learned like, instead of
just having one massive datapull or lots of sub pulls, lots
of temp tables, I need to havevery systemized, decisive ways
to pull it.
And so for the longest whilelike something I I've been, you
know, I'll try to make this alittle more relatable because I
can tell right now I'm alreadyboring myself telling you about
(02:11):
it because you probably don'tcare about data analytics.
But we'll say I have one way ofdoing code.
I'll then try a completelydifferent way of pulling code,
then I'll try a third,completely different way of
pulling code and if those don'twork, then I'll try like a
slight modification to the firstway or a slight modification to
the second or a slight thirdway of pulling it to the first
(02:32):
one, and I'll have lots of liketesting ways of pulling data and
I'll try something multipletimes over to get a certain
result.
And I'm realizing the way I'vegone about work is not very
efficient and it's not decisiveand rather than trying it with
slight changes, slightadjustments, I need to just go
straight for efficiency at thevery beginning.
(02:52):
So I need to opt instead ofpulling from source one and
source two and source three, Ineed to pull in an optimized way
from source one, then pull inan optimized way from source two
, then in an optimized way fromsource one, then pull in an
optimized way from source two,then in an optimized way from
source three, and then mergeeverything together.
Ultimately, I need to be a lotmore efficient and intentional
with how I do my work and when Ihave a time crunch, I'm faster
(03:16):
at it, I'm quicker, I get betterresults, it's more effective
and I spend less time tampering.
It's more effective and I spendless time tampering and
hopefully you didn't turn offthe podcast by now, because this
is very theoretical, all I haveto say.
When I'm on a time crunch withmy day job, it not only yields
(03:38):
more time with the studio.
But I'm also thinking about myrole differently and I'm
handling myself differentlybecause I act like I have less
time in the day for my job, andso that's helping me be a lot
more efficient, a lot moreproactive.
Try and break something quicker.
Let me say break nothing's, noone's getting impacted, but I'm
(03:59):
getting to solutions a lotfaster.
Rather than test and wait, testand wait, I'm now going to try
three tests and whatever's themost effective, I take the best
one and I run with it right away, and so my day job is
benefiting from this.
Um, I'll have to say what else?
What else?
What else?
Um, yeah, this past week hasbeen very much like a rest and
(04:23):
recover mentality for me.
I've been letting myself like goto bed at 10, wake up at like 6
or 7 and getting a lot moresleep.
I think I've been on the edgeof like getting like some sort
of like something in my system.
I just need rest.
But I've also like don't likehow I miss out on a lot of early
morning things, and so that'ssomething that I don't like.
(04:48):
I need to get back into the 5amshifts.
I need to be, I want to be onsite more.
I want to be present a lot more.
I want to be a lot more,engaged more.
And so, instead of just gettinglike my solid eight hours of
sleep, I want to figure out howI can get my six hours of sleep
and somehow get two hours out ofthe day more and still be
(05:09):
productive and get like 10% moreout of life than I otherwise
was.
And gosh darn it.
I can just tell if the studiois going to thrive, I want to
see that I did my best at it,and if the studio is going to
struggle and bounce, I want toknow like I gave it my.
I want to give it my all.
I don't want to look back andrealize, yeah, I gave it a
(05:31):
pretty good shot, I gave it avery good shot.
I don't be able to say I gaveit my best shot.
I really pushed myself.
I didn't burn myself out, but,man, I really put in some time.
I really invested in people.
I really really got creativewith how I'm going to find the
funds to keep the studio open.
I really networked and did sidehustles and gigs and did what I
(05:56):
could.
If I couldn't fix the studiodirectly, how can I fix it
indirectly.
What side hustles and sidequests can I do to bring value
to the studio and and to showthat I really cared and so doing
these strength training classesare helpful.
Being present and on site ishelpful.
(06:16):
Uh, doing side hustles and sidequests will be helpful.
Keeping my day job going willbe helpful.
Keeping my day job going willbe helpful.
And, yeah, that's where we'reat right now.
So we're going to go home, hangout with the wife for a little
bit, go to bed, get a goodamount of sleep and then
(06:37):
tomorrow I'm aiming to start theday proactively and thoroughly.
So that's where we're at,that's where we're going.
That's rock and roll.
Alright, well, I'm going to take another chance at
recording this, because everytime I try to record this
episode it keeps deleting.
So here we go.
So it's Monday, happy Monday,here we are, and tonight is the
first night of eight instructortraining evenings.
So for the next eight weekswe're spending about an hour and
a half a night traininginstructors or training folks
(00:23):
how to do strength trainingclasses, and so folks that are
brand new to instructing orfolks that have done kickboxing,
want to know how to do strengthclasses.
We're now teaching them, and Iwas bummed tonight like we had
six or seven people interested.
Only two showed up for thefirst night, so I was really
hoping that more people wouldshow, and so we'll have to be
(00:44):
more intentional andreminder-ish about the trainings
because we're getting tight.
Like there's just it's justtight.
It's hard to get enough handsto run the classes and do it all
, and I'm, for the folks thatare here that are doing it, so
grateful, so appreciative of it.
It just really means a lot.
(01:06):
Had a good day at the day job.
I've learned I need to be morequick and decisive.
Here's an example Some of thestuff you may get, some you may
not.
I do data analytics, I have towrite my own data pipelines.
That means I need to write somesemi-computer code to pull data
(01:26):
from our systems and make ittangible.
And pulling from tons and tonsof data like a couple hundred
terabytes worth of data and, forreference, that's like 50
iPhones, like we'll just sayit's 50 iPhones worth of data
you to pull it and you can'tjust, you have to pull it really
smartly so that you don't spenda lot of computer power pulling
(01:49):
it.
But anyhow, you pull it andI've learned like, instead of
just having one massive datapull or lots of sub pulls, lots
of temp tables, I need to havevery systemized, decisive ways
to pull it.
And so for the longest whilelike something I I've been, you
know, I'll try to make this alittle more relatable because I
can tell right now I'm alreadyboring myself telling you about
(02:11):
it because you probably don'tcare about data analytics.
But we'll say I have one way ofdoing code.
I'll then try a completelydifferent way of pulling code,
then I'll try a third,completely different way of
pulling code and if those don'twork, then I'll try like a
slight modification to the firstway or a slight modification to
the second or a slight thirdway of pulling it to the first
(02:32):
one, and I'll have lots of liketesting ways of pulling data and
I'll try something multipletimes over to get a certain
result.
And I'm realizing the way I'vegone about work is not very
efficient and it's not decisiveand rather than trying it with
slight changes, slightadjustments, I need to just go
straight for efficiency at thevery beginning.
(02:52):
So I need to opt instead ofpulling from source one and
source two and source three, Ineed to pull in an optimized way
from source one, then pull inan optimized way from source two
, then in an optimized way fromsource one, then pull in an
optimized way from source two,then in an optimized way from
source three, and then mergeeverything together.
Ultimately, I need to be a lotmore efficient and intentional
with how I do my work and when Ihave a time crunch, I'm faster
(03:16):
at it, I'm quicker, I get betterresults, it's more effective
and I spend less time tampering.
It's more effective and I spendless time tampering and
hopefully you didn't turn offthe podcast by now, because this
is very theoretical, all I haveto say.
When I'm on a time crunch withmy day job, it not only yields
(03:38):
more time with the studio.
But I'm also thinking about myrole differently and I'm
handling myself differentlybecause I act like I have less
time in the day for my job, andso that's helping me be a lot
more efficient, a lot moreproactive.
Try and break something quicker.
Let me say break nothing's, noone's getting impacted, but I'm
(03:59):
getting to solutions a lotfaster.
Rather than test and wait, testand wait, I'm now going to try
three tests and whatever's themost effective, I take the best
one and I run with it right away, and so my day job is
benefiting from this.
Um, I'll have to say what else?
What else?
What else?
Um, yeah, this past week hasbeen very much like a rest and
(04:23):
recover mentality for me.
I've been letting myself like goto bed at 10, wake up at like 6
or 7 and getting a lot moresleep.
I think I've been on the edgeof like getting like some sort
of like something in my system.
I just need rest.
But I've also like don't likehow I miss out on a lot of early
morning things, and so that'ssomething that I don't like.
(04:48):
I need to get back into the 5amshifts.
I need to be, I want to be onsite more.
I want to be present a lot more.
I want to be a lot more,engaged more.
And so, instead of just gettinglike my solid eight hours of
sleep, I want to figure out howI can get my six hours of sleep
and somehow get two hours out ofthe day more and still be
(05:09):
productive and get like 10% moreout of life than I otherwise
was.
And gosh darn it.
I can just tell if the studiois going to thrive, I want to
see that I did my best at it,and if the studio is going to
struggle and bounce, I want toknow like I gave it my.
I want to give it my all.
I don't want to look back andrealize, yeah, I gave it a
(05:31):
pretty good shot, I gave it avery good shot.
I don't be able to say I gaveit my best shot.
I really pushed myself.
I didn't burn myself out, but,man, I really put in some time.
I really invested in people.
I really really got creativewith how I'm going to find the
funds to keep the studio open.
I really networked and did sidehustles and gigs and did what I
(05:56):
could.
If I couldn't fix the studiodirectly, how can I fix it
indirectly.
What side hustles and sidequests can I do to bring value
to the studio and and to showthat I really cared and so doing
these strength training classesare helpful.
Being present and on site ishelpful.
(06:16):
Uh, doing side hustles and sidequests will be helpful.
Keeping my day job going willbe helpful.
Keeping my day job going willbe helpful.
And, yeah, that's where we'reat right now.
So we're going to go home, hangout with the wife for a little
bit, go to bed, get a goodamount of sleep and then
(06:37):
tomorrow I'm aiming to start theday proactively and thoroughly.
So that's where we're at,that's where we're going.
That's rock and roll.
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