Cooking is the way I convey what I feel.
Delighting people with each dish is my goal.
GOOGLE + CHEF JUAN BERNARDINI present
"Together we can do more"
I am Juan Bernardini and I have worked in this project,
as a home chef,
for 17 years.
I began working in the City of Azul
in some small restaurants,
pizza shops, bakeries
and I started building some experience.
By means of contacts
and after meeting a person
I fell in love with
in Buenos Aires, I moved to the city
and started working with a renowned French chef.
From that moment on,
I never stopped cooking in hotels,
restaurants in Palermo,
and, gradually,
I stopped working as an employee
until I became a freelance home chef.
My brother-in-law told me
that by getting my ad on Google AdWords,
I could be seen by customers in no time
and grow my business.
I launched a campaign to try it and, that same day,
my first customer showed up.
Google AdWords allows you to be seen by customers
at the very moment that they are searching on Google
for the service you offer.
When someone types in Google
"Home Chef" or "Chef at Home" my ad can appear.
They can contact me directly,
call me or send me an email.
I always ask my customers
how they found me,
and they always answer that they found me on Google.
Now I can spend more time with my family,
something I had not been able to do for a long time.
My goal is to keep growing with Google AdWords
and build up new work teams,
to develop and expand my company.
Together we can do more for your project
for taking new paths
for your professional growth
for cuisine passionates
for family time
for Argentina
For more infomation >> El chef que pudo dedicarse a su pasión gracias a Google AdWords - Duration: 2:36.-------------------------------------------
NUNCA JOGUE O JOGO DO DINOSSAURO DO GOOGLE ÁS 3 DA MANHÃ!!! | #TavinhoResponde - Duration: 8:10.
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Google Suggested Clip on SERPS - Duration: 3:52.
Hey guys I'm Sheryl Loch with Ginger Roots Media and here while back I made a video
and we were talking about how Google is going to start skipping introductions in
YouTube videos when they show them in their search results and they'll lead
you straight to the portion of the video that answers your request, on your search.
So here I am, I did a search today and it's "upload longer videos on Twitter." I
did this as a regular Google search. Here's the number one result, as you can see,
it's a YouTube video. But it doesn't look like the old listings used to and in
fact. what it is, it's taking me exactly to the portion of the video that answers my
query. So here you can see we've got marks 38 seconds in, where the
video is set to start and end. It says suggested clip 26 seconds. Yep this is a
YouTube video. Now hopefully I don't get a copyright strike for showing you how
this works. Hey thanks dude. So right here on the search results page I don't have
to click and go to YouTube. I don't have to watch the entire video. I can simply
click it and as you can see, the video starts, over here we have a timer that is
showing how many seconds left on the suggested part that Google has. And if I
want I can go here watch the entire video. I can of course go to YouTube as
usual and this is an amazing thing. It's amazing for certain people,
as for the person doing the search on Google, it's super helpful. They can get
their information, go back to what they were doing. As far as a creator goes, the
Creator may be upset. Because we want view duration, we wanted them to watch the
entire video not just 26 seconds. We want them to watch the whole freakin thing.
That's a bummer! We may also have a playlist where we want them to watch
more than one associated videos on our channel. BOOM! Not going to happen!
They're not going to YouTube, they're watching it right here. But it's great for viewers
and people searching. As far as creators not so freakin great. If I were you, I'd
pay attention whenever you talk on a video to make sure the words you are
saying would be something someone searches for. Because I have a feeling a
good bit of how Google is deciding where to start the video is going to come from
your closed captions. Your voice to text is what it's looking for. Descriptions
may help rank your video and may help YouTube and Google understand what your
video is about, but this video has not got closed captions it's coming from
your voice. So I would suggest when you make a video to think about key phrases
and I've done this for years, because since, oh I don't know years ago, I
discovered that closed captions are searchable on YouTube and I've kind of
tried to watch that. So that I make sure the words I say are relevant, very
relevant in search. So this is something cool I wanted to give you a quick video.
iIt's not fancy just wanted to show you. Let me know in the comments below have
you been seeing these? Where they're skipping parts of the video and taking
you straight to your answer? As a creator what do you think about them? So
leave us a comment below let us know what's going on. Thanks for watching be
sure to subscribe!
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Using Google Docs for Note Taking - Duration: 3:35.
Hi everyone so I just wanted to quickly show you everyone so you how our module notes are
going to work so I'm just here in August 28th and I'm going to select module 1 notes and
that will bring me into our topics reading videos assignments but what I really wanted
to show you is the material covered so I've done this for you in a Google doc so what
will happen you'll come to this page but yours will look a little different because you actually
won't be able to edit this version I'm the owner so I can edit it I want to show you
that in a minute so I'm the owner so I can edit it, so yours won't look quite like this
but what you'll do is go up to file here in the corner select that and go ahead and go
down to make a copy now if you're not interested in working in Google Docs that's totally fine
stop the video right now just go to download as and you can download it as a Microsoft
Word PDF plain text so whatever works best for you that is an option but I'm going to
show more about Google Docs let's go with that so you'll select make a copy and feel
free to name it whatever you'd like and I highly suggest that you make a folder so as
you can see here I have a folder called CTVA-362 lecture notes so that's the one it's already
in but if it weren't that's what I would select and then I just go ahead and add it to that
folder you can also create a new folder if you don't have one yet I highly suggest that
you do keep these in a folder so you can reference them later.
Okay and I'm just going to go ahead and say okay and I'll create my new Google doc so
this is one that you can actually feel free to edit so something really neat I put headers
on all of these these purple and blue headers they see the ones that are little bit larger
so you can actually go to tools and say document outline go ahead and select that and you can
see that it creates this table of contents on the left hand side here for you so you
can actually Jump Around content when you want to come back here to study okay so another
thing about your notes I'm going to go ahead and close that outline another thing about
your notes you have some bullet points so feel free to type in here, so more examples
so that can be any notes you take in class.
Another option is if you highlight some text you can also add a comment.
So you can say "Wow I need to remember this for the test... winky face.
So when I comment that I am going to see my date stamp and I can actually edit back to
myself so I can edit it if I find something wrong with it, okay I am going to go ahead
and cancel that, or I can reply to myself so I can say "Also don't forget page 22" and
I can reply there.
So these could be notes to myself where this could be this section would be more for outlining
content.
Okay great that is a little more about Google docs I hope you found it useful if you have
any more questions feel free to ask me.
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Introduction to Google Cloud Dataflow - Duration: 3:34.
<Guy Hummel>Welcome to the introduction to
Google Cloud Dataflow course.
My name's Guy Hummel and I'll be showing you how
to process huge amounts of data in the Cloud.
I'm the Google Cloud Content Lead at Cloud Academy,
and I'm a Google Certified Professional Cloud Architect
and Data Engineer.
If you have any questions, feel free to connect with me
on LinkedIn and send me a message or send an email
to support@cloudacademy.com.
This course is intended for data professionals,
especially those who need to design and build
big data processing systems.
This is an important course to take if you're studying
for the Google Professional Data Engineer exam.
To get the most from this course, you should have
experience with Java because I'll be showing you lots
of examples of code written in Java.
I'll also show you how to run these examples
on the Cloud Dataflow service.
So I recommend that if you don't already have a Google Cloud
account then sign up for a free trial.
It's good for a year and it let's you run up
to $300 worth of services.
Cloud Dataflow executes data processing pipelines.
A pipeline is a sequence of steps that reads data,
transforms it in some way, and writes it out.
Since Dataflow is designed to process very large data sets,
it distributes these processing tasks to a number
of virtual machines in a cluster so they can process
different chunks of the data in parallel.
Cloud Dataflow is certainly not the first
big data processing engine.
It's not even the only one available
on Google Cloud platform.
For example, one alternative is to run Apache Spark
on Google's Dataproc service.
So why would you choose Dataflow?
There are a few reasons.
First, it's essentially serverless.
That is you don't have to manage
the compute resources yourself.
Dataflow will automatically spin up and down
clusters of virtual machines when you run processing jobs.
You can just focus on writing the code
instead of building clusters.
Apache Spark on the other hand requires more configuration,
even if you run it on Cloud Dataproc.
Second, Google has separated the processing code
from the environment where it runs.
In 2016 the open source Dataflow software development kit,
which was released as Apache Beam.
Now you can write Beam programs and run them
on your own systems, or on the Cloud Dataflow service.
In fact, if you look at Google's Dataflow documentation,
you'll see that it tells you to go to
the Apache Beam website for the latest version
of the software development kit.
Third, it was designed to process data in both batch
and streaming modes with the same programming model.
This is a big deal.
Other big data SDKs typically require that you use
different code depending on whether the data comes
in batch or streaming form.
Competitors like Spark are addressing this
but they're not quite there yet.
We'll start with how to build and execute
a simple pipeline locally.
Then I'll show you how to run it on Cloud Dataflow.
Next, we'll look at how to build more complex pipelines
using custom and composite transforms.
Finally, I'll show you how to deal with time
using windows and triggers.
You'll also see how to integrate a pipeline
with Google BigQuery.
By the end of this course, you should be able to
write a data processing program in Java using Apache Beam,
use different Beam transforms to map and aggregate data,
use windows, timestamps and triggers to process
streaming data, deploy a Beam pipeline both locally
and on Cloud Dataflow, and output data from Cloud Dataflow
to Google BigQuery.
We would love to get your feedback on this course,
so please let us know what you think on the comments
tab below or by emailing support@cloudacademy.com.
Now, if you're ready to learn and get the most
out of Dataflow, then let's get started.
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How to Download YouTube Videos on Google Chrome 2017! - Duration: 2:53.
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Update 3.1 available on Google Play! - Duration: 0:32.
New map: Valley — a peaceful view or a land of discord?
New Dash robots: Kumiho, Haechi and Bulgasari are joining the fight!
Weapons: new medium weapon Scourge and heavy machine gun Tempest are here to stay!
Black Market: here you can roll anything for your hangar!
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