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Join this live session with Magnus Mårtensson ft. Dan Clark on a new episode of The Cloud Show with Magnus Mårtensson on May 01, 2024 at 01:05 PM (EST).
The show is about cloud leadership and all the important questions relating to cloud projects. Certainly, many matters when a company is going to and wants to be successful in the cloud, are about technology. However, there are many additional matters, adjacent to technology, that we also need to tend to regarding business strategy, human resources, organizational change, planning for a technical cloud approach, and many more questions. These conversations are critical for a healthy cloud and for a swift and accurate cloud approach.
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Dan Clark is developer, trainer, speaker, and author specializing in data programming, business intelligence, and advanced analytics.
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0:00
and welcome back to the cloud show for
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and welcome back to the cloud show for
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and welcome back to the cloud show for another episode and another fascinating
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another episode and another fascinating
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another episode and another fascinating conversation this time with an author
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conversation this time with an author
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conversation this time with an author and we're going to talk about iot today
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and we're going to talk about iot today
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and we're going to talk about iot today and lots about how to use iot in the
0:13
and lots about how to use iot in the
0:13
and lots about how to use iot in the cloud I'm sure it's going to be an
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cloud I'm sure it's going to be an
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cloud I'm sure it's going to be an interesting conversation of course as
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interesting conversation of course as
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interesting conversation of course as usual on the cloud show So today we're
0:19
usual on the cloud show So today we're
0:19
usual on the cloud show So today we're going to talk with Dan Clark
0:22
going to talk with Dan Clark
0:22
going to talk with Dan Clark [Music]
0:32
hello Dan nice to see you hi everybody
0:36
hello Dan nice to see you hi everybody
0:36
hello Dan nice to see you hi everybody hi good to see you man lovely so um
0:40
hi good to see you man lovely so um
0:40
hi good to see you man lovely so um let's first uh let everyone know who is
0:42
let's first uh let everyone know who is
0:42
let's first uh let everyone know who is watching um you're Dan Clark I already
0:45
watching um you're Dan Clark I already
0:45
watching um you're Dan Clark I already said you are a senior Risk Management
0:47
said you are a senior Risk Management
0:47
said you are a senior Risk Management Consultant by trade with Wells Fargo and
0:50
Consultant by trade with Wells Fargo and
0:50
Consultant by trade with Wells Fargo and um as so far as I understand you're out
0:52
um as so far as I understand you're out
0:52
um as so far as I understand you're out of Harrisburg
0:54
of Harrisburg
0:54
of Harrisburg Pennsylvania yep yep and so what do you
0:57
Pennsylvania yep yep and so what do you
0:57
Pennsylvania yep yep and so what do you do at Wells Fargo as a as a Risk
1:00
do at Wells Fargo as a as a Risk
1:00
do at Wells Fargo as a as a Risk Management
1:01
Management
1:01
Management Consultant uh so uh some of my
1:05
Consultant uh so uh some of my
1:05
Consultant uh so uh some of my background is in powerbi and uh Advanced
1:09
background is in powerbi and uh Advanced
1:09
background is in powerbi and uh Advanced analytics and so I'm bringing that to
1:12
analytics and so I'm bringing that to
1:12
analytics and so I'm bringing that to the W forer team to try and help them uh
1:15
the W forer team to try and help them uh
1:16
the W forer team to try and help them uh you know get something out of their data
1:17
you know get something out of their data
1:17
you know get something out of their data so yeah I've been with them for about a
1:20
so yeah I've been with them for about a
1:20
so yeah I've been with them for about a year and then before that I was with
1:22
year and then before that I was with
1:22
year and then before that I was with Microsoft for about four years so right
1:28
Microsoft for about four years so right
1:28
Microsoft for about four years so right uh and so so Tech technically a bunch of
1:31
uh and so so Tech technically a bunch of
1:31
uh and so so Tech technically a bunch of powerbi you're data engineer um you
1:34
powerbi you're data engineer um you
1:34
powerbi you're data engineer um you speak at conference as well um yes I
1:38
speak at conference as well um yes I
1:38
speak at conference as well um yes I spoken at a lot of conferences and then
1:42
spoken at a lot of conferences and then
1:42
spoken at a lot of conferences and then as you know
1:43
as you know
1:43
as you know the the co hit and then they're not so
1:47
the the co hit and then they're not so
1:47
the the co hit and then they're not so much fun anymore I know I know that was
1:50
much fun anymore I know I know that was
1:50
much fun anymore I know I know that was nobody paying nobody's paying me to go
1:53
nobody paying nobody's paying me to go
1:53
nobody paying nobody's paying me to go anywhere so if any ofbody wants
1:57
to you know
2:01
to you know
2:01
to you know definitely definitely but you are also
2:03
definitely definitely but you are also
2:03
definitely definitely but you are also quite a bit of an author so let's start
2:06
quite a bit of an author so let's start
2:06
quite a bit of an author so let's start there because you have written multiple
2:08
there because you have written multiple
2:08
there because you have written multiple books right you have written about VB
2:10
books right you have written about VB
2:10
books right you have written about VB and and c and big data and powerbi and
2:13
and and c and big data and powerbi and
2:13
and and c and big data and powerbi and and stuff and we also so yeah I started
2:18
and stuff and we also so yeah I started
2:18
and stuff and we also so yeah I started I don't know if anybody knows but uh Dan
2:22
I don't know if anybody knows but uh Dan
2:22
I don't know if anybody knows but uh Dan appan was a guru for Visual Basic back
2:26
appan was a guru for Visual Basic back
2:26
appan was a guru for Visual Basic back in the day okay and I got started by
2:30
in the day okay and I got started by
2:30
in the day okay and I got started by having lunch at his table at a
2:32
having lunch at his table at a
2:32
having lunch at his table at a conference right and I said I was in uh
2:35
conference right and I said I was in uh
2:35
conference right and I said I was in uh I wanted to uh uh create a book on BB
2:39
I wanted to uh uh create a book on BB
2:39
I wanted to uh uh create a book on BB and he said send us a
2:41
and he said send us a
2:41
and he said send us a proposal there with a bre and uh boy
2:45
proposal there with a bre and uh boy
2:45
proposal there with a bre and uh boy that got the ball rolling so I did
2:48
that got the ball rolling so I did
2:48
that got the ball rolling so I did bb.net I did CP a couple additions of
2:51
bb.net I did CP a couple additions of
2:51
bb.net I did CP a couple additions of that I did
2:53
that I did
2:53
that I did um um like you said some big data stuff
2:57
um um like you said some big data stuff
2:57
um um like you said some big data stuff uh database and uh then I uh got into
3:02
uh database and uh then I uh got into
3:02
uh database and uh then I uh got into powerbi and have a very successful
3:05
powerbi and have a very successful
3:05
powerbi and have a very successful series on
3:06
series on
3:06
series on that and then my latest uh interest was
3:10
that and then my latest uh interest was
3:10
that and then my latest uh interest was iot so yeah thought write a
3:14
iot so yeah thought write a
3:14
iot so yeah thought write a book about iot as well so here it is the
3:18
book about iot as well so here it is the
3:18
book about iot as well so here it is the iot handbook by Dan Clark I have it
3:20
iot handbook by Dan Clark I have it
3:20
iot handbook by Dan Clark I have it right here it's a great book um so uh
3:23
right here it's a great book um so uh
3:23
right here it's a great book um so uh tell us a little bit quickly about this
3:24
tell us a little bit quickly about this
3:25
tell us a little bit quickly about this book but we also want to talk about iot
3:27
book but we also want to talk about iot
3:27
book but we also want to talk about iot of course and and see what what's up
3:29
of course and and see what what's up
3:29
of course and and see what what's up with iot and and the cloud right now but
3:32
with iot and and the cloud right now but
3:32
with iot and and the cloud right now but yeah so uh when I first uh started the
3:36
yeah so uh when I first uh started the
3:36
yeah so uh when I first uh started the book IIT was hot and then it kind of
3:39
book IIT was hot and then it kind of
3:39
book IIT was hot and then it kind of leveled off uh as a matter of fact uh
3:44
leveled off uh as a matter of fact uh
3:44
leveled off uh as a matter of fact uh you know Microsoft
3:46
you know Microsoft
3:46
you know Microsoft discontinued uh one of their uh software
3:50
discontinued uh one of their uh software
3:50
discontinued uh one of their uh software of service iot offerings which I was
3:53
of service iot offerings which I was
3:53
of service iot offerings which I was very upset to see
3:58
was uh it was uh
4:02
was uh it was uh
4:02
was uh it was uh I uh well the hub's still there that's
4:04
I uh well the hub's still there that's
4:04
I uh well the hub's still there that's the past yeah platform as a service but
4:09
the past yeah platform as a service but
4:09
the past yeah platform as a service but the they had a iot central which was uh
4:14
the they had a iot central which was uh
4:14
the they had a iot central which was uh a software as a service it was really
4:16
a software as a service it was really
4:16
a software as a service it was really good product but I think what happened
4:19
good product but I think what happened
4:19
good product but I think what happened was they came out like most things they
4:22
was they came out like most things they
4:22
was they came out like most things they everybody was excited about it and they
4:25
everybody was excited about it and they
4:25
everybody was excited about it and they started to delve into it and they said
4:27
started to delve into it and they said
4:27
started to delve into it and they said well I'm not sure how we're going to to
4:29
well I'm not sure how we're going to to
4:29
well I'm not sure how we're going to to use this and so I think and the expense
4:34
use this and so I think and the expense
4:34
use this and so I think and the expense at the beginning was pretty large so a
4:36
at the beginning was pretty large so a
4:36
at the beginning was pretty large so a lot of companies just kind of shelved it
4:39
lot of companies just kind of shelved it
4:39
lot of companies just kind of shelved it but uh the last uh this year I've seen a
4:42
but uh the last uh this year I've seen a
4:42
but uh the last uh this year I've seen a lot of comeback and people said using
4:45
lot of comeback and people said using
4:45
lot of comeback and people said using use cases that will uh give them a
4:48
use cases that will uh give them a
4:48
use cases that will uh give them a return on their investment and they're
4:50
return on their investment and they're
4:50
return on their investment and they're looking at things uh interesting to do
4:52
looking at things uh interesting to do
4:52
looking at things uh interesting to do with that so especially if you're in uh
4:57
with that so especially if you're in uh
4:57
with that so especially if you're in uh of course the medical field is is really
4:59
of course the medical field is is really
5:00
of course the medical field is is really jumping on it and uh I think the
5:05
jumping on it and uh I think the
5:05
jumping on it and uh I think the agricultural believe it or not they are
5:09
agricultural believe it or not they are
5:09
agricultural believe it or not they are really getting into
5:12
really getting into
5:12
really getting into thetics and collecting data and sensors
5:16
thetics and collecting data and sensors
5:16
thetics and collecting data and sensors and and things like that for their for
5:19
and and things like that for their for
5:19
and and things like that for their for their right and all that stuff they have
5:21
their right and all that stuff they have
5:21
their right and all that stuff they have satellites into their uh factors now and
5:25
satellites into their uh factors now and
5:25
satellites into their uh factors now and all kinds of things going on so yeah I
5:29
all kinds of things going on so yeah I
5:29
all kinds of things going on so yeah I think it's a it's a good time to get
5:31
think it's a it's a good time to get
5:31
think it's a it's a good time to get back into I and see what you can do with
5:34
back into I and see what you can do with
5:34
back into I and see what you can do with it yeah but let's let's let's go back a
5:37
it yeah but let's let's let's go back a
5:37
it yeah but let's let's let's go back a little bit there because so before the
5:39
little bit there because so before the
5:40
little bit there because so before the cloud some some companies or businesses
5:43
cloud some some companies or businesses
5:43
cloud some some companies or businesses were were already doing iot iot wasn't
5:45
were were already doing iot iot wasn't
5:45
were were already doing iot iot wasn't anything new like that as such right but
5:48
anything new like that as such right but
5:48
anything new like that as such right but it was more challenging to do it before
5:50
it was more challenging to do it before
5:50
it was more challenging to do it before you had Cloud resources and then Azure
5:53
you had Cloud resources and then Azure
5:53
you had Cloud resources and then Azure came along and there was this kind of a
5:55
came along and there was this kind of a
5:55
came along and there was this kind of a boom or a a an era where iot well like
5:58
boom or a a an era where iot well like
5:58
boom or a a an era where iot well like you said it was kind of hot
6:02
right right so yeah traditionally U
6:06
right right so yeah traditionally U
6:06
right right so yeah traditionally U probably a lot of them
6:08
probably a lot of them
6:08
probably a lot of them used mobile phone lines and things like
6:11
used mobile phone lines and things like
6:11
used mobile phone lines and things like that and it was very expensive to get
6:14
that and it was very expensive to get
6:14
that and it was very expensive to get into yeah and you had to really know a
6:17
into yeah and you had to really know a
6:17
into yeah and you had to really know a lot of different areas to troubleshoot
6:19
lot of different areas to troubleshoot
6:19
lot of different areas to troubleshoot it yeah exactly so I think uh the one
6:23
it yeah exactly so I think uh the one
6:23
it yeah exactly so I think uh the one reason why I chose uh of course I have a
6:26
reason why I chose uh of course I have a
6:26
reason why I chose uh of course I have a background in Microsoft I used to teach
6:28
background in Microsoft I used to teach
6:28
background in Microsoft I used to teach for them
6:30
for them
6:30
for them as a matter of fact an iot course and
6:33
as a matter of fact an iot course and
6:33
as a matter of fact an iot course and uh uh one of the reasons I I like their
6:37
uh uh one of the reasons I I like their
6:37
uh uh one of the reasons I I like their they're sweet is because you don't have
6:40
they're sweet is because you don't have
6:40
they're sweet is because you don't have to be an expert just like anything with
6:42
to be an expert just like anything with
6:42
to be an expert just like anything with Microsoft they take care of the plumbing
6:44
Microsoft they take care of the plumbing
6:45
Microsoft they take care of the plumbing code and everything for you and then you
6:47
code and everything for you and then you
6:47
code and everything for you and then you can just kind of concentrate on getting
6:50
can just kind of concentrate on getting
6:50
can just kind of concentrate on getting that data and they also have the back
6:52
that data and they also have the back
6:52
that data and they also have the back end because once you have the I mean
6:54
end because once you have the I mean
6:54
end because once you have the I mean it's not just about getting the data
6:56
it's not just about getting the data
6:56
it's not just about getting the data right it's about getting data and then
6:59
right it's about getting data and then
7:00
right it's about getting data and then doing something with it so they have the
7:02
doing something with it so they have the
7:02
doing something with it so they have the suite of tools that you can analyze the
7:04
suite of tools that you can analyze the
7:04
suite of tools that you can analyze the data with very easily and and lots of
7:08
data with very easily and and lots of
7:08
data with very easily and and lots of data streaming data or whatever you want
7:10
data streaming data or whatever you want
7:10
data streaming data or whatever you want to do with it
7:12
to do with it
7:12
to do with it so um you know uh there's the Microsoft
7:17
so um you know uh there's the Microsoft
7:17
so um you know uh there's the Microsoft uh tools and then there's a really good
7:20
uh tools and then there's a really good
7:20
uh tools and then there's a really good community of um of Open Source out there
7:25
community of um of Open Source out there
7:25
community of um of Open Source out there my problem with open source has always
7:27
my problem with open source has always
7:27
my problem with open source has always been uh the support you get
7:30
been uh the support you get
7:30
been uh the support you get and so uh I like to have something
7:33
and so uh I like to have something
7:33
and so uh I like to have something that's going to
7:34
that's going to
7:34
that's going to support uh support me when I set this
7:37
support uh support me when I set this
7:37
support uh support me when I set this thing up and um you know just not it's
7:41
thing up and um you know just not it's
7:41
thing up and um you know just not it's really important not to I mean sure you
7:43
really important not to I mean sure you
7:43
really important not to I mean sure you can set up a
7:45
can set up a
7:45
can set up a uh an iot to take temperatures in your
7:50
uh an iot to take temperatures in your
7:50
uh an iot to take temperatures in your yard or something like that but uh when
7:53
yard or something like that but uh when
7:54
yard or something like that but uh when you go to the Enterprise you really need
7:55
you go to the Enterprise you really need
7:55
you go to the Enterprise you really need to know security need to know uh
7:59
to know security need to know uh
7:59
to know security need to know uh bandwidth uh I mean there's so much
8:02
bandwidth uh I mean there's so much
8:02
bandwidth uh I mean there's so much things that go into the I yeah and it
8:04
things that go into the I yeah and it
8:04
things that go into the I yeah and it can also become a lot of data right you
8:06
can also become a lot of data right you
8:06
can also become a lot of data right you can get almost like too much data or you
8:09
can get almost like too much data or you
8:09
can get almost like too much data or you how much you're going to sample from the
8:10
how much you're going to sample from the
8:10
how much you're going to sample from the data to make sense of it and so on
8:13
data to make sense of it and so on
8:13
data to make sense of it and so on right yeah that's the other thing I
8:15
right yeah that's the other thing I
8:16
right yeah that's the other thing I think um you know you decide whether or
8:19
think um you know you decide whether or
8:19
think um you know you decide whether or not you want to aggregate data down in
8:21
not you want to aggregate data down in
8:21
not you want to aggregate data down in the field or if you want
8:23
the field or if you want
8:23
the field or if you want to uh just take the roll data back and
8:27
to uh just take the roll data back and
8:27
to uh just take the roll data back and again some of the areas where we're
8:30
again some of the areas where we're
8:30
again some of the areas where we're seeing a lot of
8:32
seeing a lot of
8:32
seeing a lot of advancement is uh with your iot devices
8:36
advancement is uh with your iot devices
8:36
advancement is uh with your iot devices you have just what I would call dumy
8:38
you have just what I would call dumy
8:38
you have just what I would call dumy devices that just sent uh roll data back
8:42
devices that just sent uh roll data back
8:42
devices that just sent uh roll data back they measure something they send that
8:44
they measure something they send that
8:44
they measure something they send that they measure it they send that if they
8:46
they measure it they send that if they
8:46
they measure it they send that if they they don't do anything they just measure
8:47
they don't do anything they just measure
8:47
they don't do anything they just measure and send right right and uh so industry
8:52
and send right right and uh so industry
8:52
and send right right and uh so industry has been using that for a long
8:54
has been using that for a long
8:54
has been using that for a long time but now we have the ability to have
8:58
time but now we have the ability to have
8:58
time but now we have the ability to have more Compu C in smaller spaces and we
9:01
more Compu C in smaller spaces and we
9:01
more Compu C in smaller spaces and we all know this with our phones and
9:03
all know this with our phones and
9:03
all know this with our phones and everything and so uh now we can actually
9:08
everything and so uh now we can actually
9:08
everything and so uh now we can actually send
9:09
send
9:09
send down um you know a SQL
9:12
down um you know a SQL
9:12
down um you know a SQL Server uh to store the data in the
9:15
Server uh to store the data in the
9:15
Server uh to store the data in the device itself or we can use SQL Server
9:19
device itself or we can use SQL Server
9:19
device itself or we can use SQL Server to aggregate it before we send it up we
9:22
to aggregate it before we send it up we
9:22
to aggregate it before we send it up we can
9:23
can
9:23
can also uh have it so that if it goes
9:26
also uh have it so that if it goes
9:26
also uh have it so that if it goes offline we store it soon you get the
9:29
offline we store it soon you get the
9:29
offline we store it soon you get the signal it sets them back up so
9:33
signal it sets them back up so
9:33
signal it sets them back up so just this is what this is what's common
9:36
just this is what this is what's common
9:36
just this is what this is what's common called as at the at the edge right Edge
9:39
called as at the at the edge right Edge
9:39
called as at the at the edge right Edge computer yeah yeah iot at the edge yeah
9:42
computer yeah yeah iot at the edge yeah
9:42
computer yeah yeah iot at the edge yeah and there are devices uh coming out now
9:47
and there are devices uh coming out now
9:47
and there are devices uh coming out now that are specifically made to take
9:50
that are specifically made to take
9:50
that are specifically made to take advantage of all that and they have all
9:52
advantage of all that and they have all
9:52
advantage of all that and they have all the software installed security
9:54
the software installed security
9:54
the software installed security installed and so if I was going to be
9:56
installed and so if I was going to be
9:56
installed and so if I was going to be doing a project uh you know a lot of
9:59
doing a project uh you know a lot of
9:59
doing a project uh you know a lot of people have investments in older
10:02
people have investments in older
10:02
people have investments in older technology I would probably say let's
10:05
technology I would probably say let's
10:05
technology I would probably say let's swap out some of this older technology
10:07
swap out some of this older technology
10:07
swap out some of this older technology and put some of the newer stuff
10:09
and put some of the newer stuff
10:09
and put some of the newer stuff in and then look at the total return on
10:12
in and then look at the total return on
10:12
in and then look at the total return on investment so it's like saying okay you
10:14
investment so it's like saying okay you
10:14
investment so it's like saying okay you know I don't want to spend that for the
10:17
know I don't want to spend that for the
10:17
know I don't want to spend that for the newer devices but in the long run you're
10:21
newer devices but in the long run you're
10:21
newer devices but in the long run you're probably better off and everybody knows
10:23
probably better off and everybody knows
10:23
probably better off and everybody knows you know you know that with cars and
10:25
you know you know that with cars and
10:25
you know you know that with cars and stuff like that so right so that that's
10:29
stuff like that so right so that that's
10:29
stuff like that so right so that that's that's is that the big Trend now to uh
10:32
that's is that the big Trend now to uh
10:32
that's is that the big Trend now to uh to have a bit of smarts uh out at the
10:35
to have a bit of smarts uh out at the
10:35
to have a bit of smarts uh out at the edge and and try to figure out how to
10:38
edge and and try to figure out how to
10:38
edge and and try to figure out how to best process the data a little bit or
10:41
best process the data a little bit or
10:41
best process the data a little bit or aggregate like you said and and do do
10:42
aggregate like you said and and do do
10:42
aggregate like you said and and do do some some intelligence at the edge and
10:45
some some intelligence at the edge and
10:45
some some intelligence at the edge and then send some kind of a smarter result
10:49
then send some kind of a smarter result
10:49
then send some kind of a smarter result yeah that's really important when you
10:50
yeah that's really important when you
10:50
yeah that's really important when you get into things like video um analysis
10:55
get into things like video um analysis
10:55
get into things like video um analysis and and so for security cameras and
10:56
and and so for security cameras and
10:56
and and so for security cameras and things because yeah because uh that's a
11:01
things because yeah because uh that's a
11:01
things because yeah because uh that's a lot of data uh yeah try and send it back
11:04
lot of data uh yeah try and send it back
11:04
lot of data uh yeah try and send it back up yeah so uh we do have uh you know uh
11:09
up yeah so uh we do have uh you know uh
11:09
up yeah so uh we do have uh you know uh things that you can make uh for machine
11:13
things that you can make uh for machine
11:13
things that you can make uh for machine learning and so forth and put that in
11:15
learning and so forth and put that in
11:15
learning and so forth and put that in the edge too and so they can go through
11:18
the edge too and so they can go through
11:18
the edge too and so they can go through and do their analysis of the video yeah
11:22
and do their analysis of the video yeah
11:22
and do their analysis of the video yeah and then just send the results back up
11:24
and then just send the results back up
11:24
and then just send the results back up so let's say that it is a um um you know
11:28
so let's say that it is a um um you know
11:28
so let's say that it is a um um you know that it is a security camera uh you put
11:30
that it is a security camera uh you put
11:30
that it is a security camera uh you put some smarts onto it to discover for
11:33
some smarts onto it to discover for
11:33
some smarts onto it to discover for example when there is a person in in the
11:34
example when there is a person in in the
11:34
example when there is a person in in the camera view if there isn't any person
11:37
camera view if there isn't any person
11:37
camera view if there isn't any person then nothing is happening and it's not
11:38
then nothing is happening and it's not
11:38
then nothing is happening and it's not it's very uninteresting you don't have
11:40
it's very uninteresting you don't have
11:40
it's very uninteresting you don't have to send a lot of video of a of a
11:42
to send a lot of video of a of a
11:42
to send a lot of video of a of a backyard an empty backyard right but if
11:45
backyard an empty backyard right but if
11:45
backyard an empty backyard right but if suddenly there's a person it's nice if
11:48
suddenly there's a person it's nice if
11:48
suddenly there's a person it's nice if that device can detect hey there's a
11:50
that device can detect hey there's a
11:50
that device can detect hey there's a person and this is actually interesting
11:52
person and this is actually interesting
11:52
person and this is actually interesting data right yeah and there's interesting
11:56
data right yeah and there's interesting
11:56
data right yeah and there's interesting um use cases for a lot of this the
11:58
um use cases for a lot of this the
11:58
um use cases for a lot of this the security
12:01
and just surveillance and things
12:04
and just surveillance and things
12:04
and just surveillance and things so so aren me using these for like
12:07
so so aren me using these for like
12:07
so so aren me using these for like workplaces to discover uh potential
12:10
workplaces to discover uh potential
12:10
workplaces to discover uh potential hazards and
12:12
hazards and
12:12
hazards and things uh yeah yeah so uh yeah there's a
12:15
things uh yeah yeah so uh yeah there's a
12:15
things uh yeah yeah so uh yeah there's a lot of it in
12:17
lot of it in
12:17
lot of it in workplaces uh so um you know just from
12:22
workplaces uh so um you know just from
12:22
workplaces uh so um you know just from detecting who's in the lobbies and so
12:24
detecting who's in the lobbies and so
12:24
detecting who's in the lobbies and so forth to uh you know things like uh
12:31
oh you know the temperatures controlling
12:33
oh you know the temperatures controlling
12:33
oh you know the temperatures controlling temperatures and and uh humidity and
12:37
temperatures and and uh humidity and
12:37
temperatures and and uh humidity and Office Buildings and so again Office
12:40
Office Buildings and so again Office
12:40
Office Buildings and so again Office Buildings are really relying on this
12:42
Buildings are really relying on this
12:42
Buildings are really relying on this technology oh yeah so is that is
12:45
technology oh yeah so is that is
12:45
technology oh yeah so is that is that is that any of the things that we
12:47
that is that any of the things that we
12:47
that is that any of the things that we can read about in your book there well
12:50
can read about in your book there well
12:50
can read about in your book there well in the book uh I actually go deep into
12:54
in the book uh I actually go deep into
12:54
in the book uh I actually go deep into uh how you do this with the microsol
12:57
uh how you do this with the microsol
12:57
uh how you do this with the microsol suite so we have iot Hub uh and I show
13:01
suite so we have iot Hub uh and I show
13:01
suite so we have iot Hub uh and I show you how to set up the devices on iot
13:04
you how to set up the devices on iot
13:05
you how to set up the devices on iot HUB and then uh so there's two parts of
13:09
HUB and then uh so there's two parts of
13:09
HUB and then uh so there's two parts of the book that I think are very important
13:12
the book that I think are very important
13:12
the book that I think are very important so it tells you how to update your
13:14
so it tells you how to update your
13:14
so it tells you how to update your devices and you know send uh P you know
13:17
devices and you know send uh P you know
13:17
devices and you know send uh P you know software components down of the devices
13:21
software components down of the devices
13:21
software components down of the devices and then what I do is I have the second
13:24
and then what I do is I have the second
13:24
and then what I do is I have the second half of the book is what do you do when
13:25
half of the book is what do you do when
13:25
half of the book is what do you do when you have the data so uh ah it goes into
13:29
you have the data so uh ah it goes into
13:29
you have the data so uh ah it goes into to you know doing the analysis showing
13:32
to you know doing the analysis showing
13:32
to you know doing the analysis showing powerbi and so forth uh
13:36
powerbi and so forth uh
13:36
powerbi and so forth uh so about all this is that that your your
13:39
so about all this is that that your your
13:39
so about all this is that that your your backbone is that you're using Microsoft
13:41
backbone is that you're using Microsoft
13:41
backbone is that you're using Microsoft Technology you're using Azure so that
13:44
Technology you're using Azure so that
13:44
Technology you're using Azure so that this technically if if we want to use
13:46
this technically if if we want to use
13:46
this technically if if we want to use that term here I guess it's appropriate
13:48
that term here I guess it's appropriate
13:48
that term here I guess it's appropriate technically that means that anyone could
13:50
technically that means that anyone could
13:50
technically that means that anyone could actually do that it doesn't require a
13:53
actually do that it doesn't require a
13:53
actually do that it doesn't require a huge uh investment in in terms of you
13:56
huge uh investment in in terms of you
13:56
huge uh investment in in terms of you know what what would have been before we
13:58
know what what would have been before we
13:58
know what what would have been before we used the cloud for iot like you said
14:00
used the cloud for iot like you said
14:00
used the cloud for iot like you said using phone lines and things like that
14:01
using phone lines and things like that
14:02
using phone lines and things like that was kind of expensive and you still you
14:04
was kind of expensive and you still you
14:04
was kind of expensive and you still you still have to know a little bit about
14:06
still have to know a little bit about
14:06
still have to know a little bit about programming and if you're C programmer
14:09
programming and if you're C programmer
14:09
programming and if you're C programmer or a python programmer yeah you're gonna
14:12
or a python programmer yeah you're gonna
14:12
or a python programmer yeah you're gonna have a step up
14:14
have a step up
14:14
have a step up but uh you know it's no longer days when
14:19
but uh you know it's no longer days when
14:19
but uh you know it's no longer days when you have to have a dedicated uh you know
14:23
you have to have a dedicated uh you know
14:23
you have to have a dedicated uh you know iot person somebody who's um you know
14:29
iot person somebody who's um you know
14:29
iot person somebody who's um you know smart and knows coding and stuff if I
14:32
smart and knows coding and stuff if I
14:32
smart and knows coding and stuff if I can do it anybody can do it
14:34
can do it anybody can do it
14:34
can do it anybody can do it so and it's a lot of fun actually um
14:39
so and it's a lot of fun actually um
14:39
so and it's a lot of fun actually um it's one of those things where you get
14:40
it's one of those things where you get
14:40
it's one of those things where you get hooked on it uh they actually i' s for
14:44
hooked on it uh they actually i' s for
14:44
hooked on it uh they actually i' s for $250 I can get a complete weather
14:48
$250 I can get a complete weather
14:48
$250 I can get a complete weather station and put it up and which is kind
14:51
station and put it up and which is kind
14:51
station and put it up and which is kind of cool I I have to say that's that's
14:54
of cool I I have to say that's that's
14:54
of cool I I have to say that's that's something yeah yeah there's all all
14:57
something yeah yeah there's all all
14:57
something yeah yeah there's all all kinds of things coming out so
15:00
kinds of things coming out so
15:00
kinds of things coming out so yeah it's actually fun I was even uh
15:02
yeah it's actually fun I was even uh
15:02
yeah it's actually fun I was even uh there's a uh thing that uh project
15:07
there's a uh thing that uh project
15:07
there's a uh thing that uh project somebody put together on uh I think it's
15:10
somebody put together on uh I think it's
15:10
somebody put together on uh I think it's called M make it.com or something where
15:14
called M make it.com or something where
15:14
called M make it.com or something where they automated their uh so they had a
15:18
they automated their uh so they had a
15:18
they automated their uh so they had a video signal and when they saw their dog
15:21
video signal and when they saw their dog
15:21
video signal and when they saw their dog it would open the the
15:23
it would open the the
15:23
it would open the the door and let him out or let him back in
15:27
door and let him out or let him back in
15:27
door and let him out or let him back in when it saw like a ground H or something
15:29
when it saw like a ground H or something
15:29
when it saw like a ground H or something it would let him that's just that's just
15:32
it would let him that's just that's just
15:32
it would let him that's just that's just lovely geekery I love that sort of stuff
15:35
lovely geekery I love that sort of stuff
15:35
lovely geekery I love that sort of stuff I could my wife to spend for that
15:38
I could my wife to spend for that
15:38
I could my wife to spend for that but oh come on that's that's that's a
15:42
but oh come on that's that's that's a
15:42
but oh come on that's that's that's a valid use case right there I love that
15:45
valid use case right there I love that
15:45
valid use case right there I love that yeah so uh it was a you a lot of fun
15:49
yeah so uh it was a you a lot of fun
15:49
yeah so uh it was a you a lot of fun projects out there you can get involved
15:52
projects out there you can get involved
15:52
projects out there you can get involved with and build your skills and and and
15:56
with and build your skills and and and
15:56
with and build your skills and and and do it that way so just like anything
15:58
do it that way so just like anything
15:58
do it that way so just like anything else mice
16:00
else mice
16:00
else mice Community um and there's actually a used
16:03
Community um and there's actually a used
16:03
Community um and there's actually a used to be on Microsoft but now it's I think
16:06
to be on Microsoft but now it's I think
16:06
to be on Microsoft but now it's I think he's on his own but there's an iot show
16:09
he's on his own but there's an iot show
16:09
he's on his own but there's an iot show out there so if you go to
16:12
out there so if you go to
16:12
out there so if you go to U look up iot show there's some really
16:16
U look up iot show there's some really
16:16
U look up iot show there's some really cool videos to show you how to do some
16:18
cool videos to show you how to do some
16:18
cool videos to show you how to do some of these projects and how to work with
16:20
of these projects and how to work with
16:20
of these projects and how to work with the the stack
16:23
so tip yeah thank you that's and he does
16:27
so tip yeah thank you that's and he does
16:27
so tip yeah thank you that's and he does both uh Microsoft and the open source so
16:32
both uh Microsoft and the open source so
16:32
both uh Microsoft and the open source so you get to compare the two and so forth
16:35
you get to compare the two and so forth
16:35
you get to compare the two and so forth and I'm not a if you find a tool is a
16:38
and I'm not a if you find a tool is a
16:38
and I'm not a if you find a tool is a tool so I just like Microsoft because
16:41
tool so I just like Microsoft because
16:41
tool so I just like Microsoft because they make it easy to get started and
16:44
they make it easy to get started and
16:44
they make it easy to get started and everything but you know the same right
16:46
everything but you know the same right
16:47
everything but you know the same right it's I it just happened to be that I
16:48
it's I it just happened to be that I
16:48
it's I it just happened to be that I focused on Microsoft stuff and there was
16:50
focused on Microsoft stuff and there was
16:50
focused on Microsoft stuff and there was no real reason for it but here we are
16:53
no real reason for it but here we are
16:53
no real reason for it but here we are right yeah
16:55
right yeah
16:55
right yeah and and so what you learn here if you
16:59
and and so what you learn here if you
16:59
and and so what you learn here if you find good open source tools you can uh
17:02
find good open source tools you can uh
17:02
find good open source tools you can uh can you know you can go back and forth
17:05
can you know you can go back and forth
17:05
can you know you can go back and forth so it's uh it's really exciting ear it
17:09
so it's uh it's really exciting ear it
17:09
so it's uh it's really exciting ear it yeah definitely no I I definitely agree
17:11
yeah definitely no I I definitely agree
17:11
yeah definitely no I I definitely agree so um what what should a person do if
17:14
so um what what should a person do if
17:14
so um what what should a person do if they want to uh get into it like they
17:17
they want to uh get into it like they
17:17
they want to uh get into it like they okay first like buy the book yeah okay
17:20
okay first like buy the book yeah okay
17:20
okay first like buy the book yeah okay fine but but apart from that like how do
17:23
fine but but apart from that like how do
17:23
fine but but apart from that like how do you how do you step into the iot world
17:25
you how do you step into the iot world
17:25
you how do you step into the iot world if you're not into yeah just get
17:28
if you're not into yeah just get
17:28
if you're not into yeah just get yourself low cost sensor and uh start
17:32
yourself low cost sensor and uh start
17:32
yourself low cost sensor and uh start going in the internet and look for stuff
17:36
going in the internet and look for stuff
17:36
going in the internet and look for stuff to get your hands wet and uh or your
17:39
to get your hands wet and uh or your
17:39
to get your hands wet and uh or your feet wet and uh you'll be amazed at how
17:42
feet wet and uh you'll be amazed at how
17:42
feet wet and uh you'll be amazed at how fast you're going to catch on to this so
17:45
fast you're going to catch on to this so
17:45
fast you're going to catch on to this so yeah the biggest thing I think uh for uh
17:50
yeah the biggest thing I think uh for uh
17:50
yeah the biggest thing I think uh for uh Enterprises is the security and that's
17:53
Enterprises is the security and that's
17:53
Enterprises is the security and that's another reason why like Microsoft
17:55
another reason why like Microsoft
17:55
another reason why like Microsoft because they have dedicated security
17:56
because they have dedicated security
17:57
because they have dedicated security they have like 10,000
17:59
they have like 10,000
17:59
they have like 10,000 security people on aure and yeah and
18:02
security people on aure and yeah and
18:02
security people on aure and yeah and their IAT and everything so they're
18:04
their IAT and everything so they're
18:04
their IAT and everything so they're really that's really good that's really
18:07
really that's really good that's really
18:07
really that's really good that's really strong case for using uh an Enterprise
18:10
strong case for using uh an Enterprise
18:10
strong case for using uh an Enterprise uh Service uh Enterprise grade service
18:12
uh Service uh Enterprise grade service
18:12
uh Service uh Enterprise grade service like the uh like the iot Hub and and
18:14
like the uh like the iot Hub and and
18:14
like the uh like the iot Hub and and things like that because they have they
18:16
things like that because they have they
18:16
things like that because they have they have taken that into account
18:18
have taken that into account
18:18
have taken that into account already yeah and even if you look at uh
18:22
already yeah and even if you look at uh
18:22
already yeah and even if you look at uh stuff like J that's started out as
18:25
stuff like J that's started out as
18:25
stuff like J that's started out as uh as you know open source you still
18:28
uh as you know open source you still
18:29
uh as you know open source you still companies that make their
18:31
companies that make their
18:31
companies that make their living packaging it in tools that make
18:34
living packaging it in tools that make
18:34
living packaging it in tools that make it easier for you to develop so yeah
18:37
it easier for you to develop so yeah
18:37
it easier for you to develop so yeah even if you're doing open source you're
18:39
even if you're doing open source you're
18:39
even if you're doing open source you're you're you're really using a a a
18:43
you're you're really using a a a
18:43
you're you're really using a a a secondary company to to help you out
18:46
secondary company to to help you out
18:46
secondary company to to help you out especially if you're gonna you know do
18:48
especially if you're gonna you know do
18:48
especially if you're gonna you know do the Enterprise so all right well so now
18:53
the Enterprise so all right well so now
18:53
the Enterprise so all right well so now we know how to get into it and um I
18:56
we know how to get into it and um I
18:56
we know how to get into it and um I really really appreciate it having a
18:57
really really appreciate it having a
18:57
really really appreciate it having a conversation with you today because it
18:59
conversation with you today because it
18:59
conversation with you today because it was very interesting and I I am also I'm
19:02
was very interesting and I I am also I'm
19:02
was very interesting and I I am also I'm curious about iot unfortunately I have
19:04
curious about iot unfortunately I have
19:04
curious about iot unfortunately I have not had a customer with an iot project
19:06
not had a customer with an iot project
19:06
not had a customer with an iot project yet that I could get into but um that's
19:09
yet that I could get into but um that's
19:09
yet that I could get into but um that's why you're gonna make up your own oh
19:11
why you're gonna make up your own oh
19:11
why you're gonna make up your own oh yeah that's why I'm gonna make up my own
19:13
yeah that's why I'm gonna make up my own
19:13
yeah that's why I'm gonna make up my own I have the book now so I can figure
19:15
I have the book now so I can figure
19:15
I have the book now so I can figure things out all right thank you thank you
19:17
things out all right thank you thank you
19:17
things out all right thank you thank you Dan thank you very much for being on the
19:19
Dan thank you very much for being on the
19:19
Dan thank you very much for being on the cloud show today to talk about iot and
19:22
cloud show today to talk about iot and
19:22
cloud show today to talk about iot and the cloud and uh I really appreciate it
19:24
the cloud and uh I really appreciate it
19:24
the cloud and uh I really appreciate it having you on the show yeah it was great
19:27
having you on the show yeah it was great
19:27
having you on the show yeah it was great talking with you thank you so all right
19:30
talking with you thank you so all right
19:30
talking with you thank you so all right thanks everyone for watching this
19:31
thanks everyone for watching this
19:32
thanks everyone for watching this episode of the cloud show and next week
19:34
episode of the cloud show and next week
19:34
episode of the cloud show and next week we'll talk to someone else about
19:35
we'll talk to someone else about
19:35
we'll talk to someone else about something cool see you see you
19:39
something cool see you see you
19:39
something cool see you see you [Music]