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