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Cloud Data Technologies:

Cloud computing is the on-demand
delivery of IT resources via the
internet with pay-as-you-go pricing
instead of buying owning and maintaining
physical data centers and servers you
can access technology services such as
computing power storage and databases on
an as-needed basis from a cloud provider
like Amazon Web Services organizations
of every type size and industry are
using the cloud for a wide variety of
use cases such as data backup disaster
recovery email virtual desktops software
development and testing big data
analytics and customer facing web
applications for example, healthcare
companies are using the cloud to develop
more personalized treatments for
patients financial services companies
are using the cloud to power real time
fraud detection and prevention and video
game makers are using the cloud to
deliver online games to millions of
players around the world with cloud
computing your business can become more
agile reduce costs instantly scale and
to play globally in minutes.
Cloud big data technologies,cloud computing,big data technologies


Cloud computing gives you instant access
to a broad range of technologies so you
can innovate faster and build nearly
anything you can imagine from
infrastructure services such as compute
storage and databases to Internet of
Things machine learning data analytics
and much more
you can deploy technology services in a
matter of minutes and get from idea to
implementation several orders of
magnitude faster than before this gives
you the freedom to experiment and test
new ideas to differentiate customer
experiences and transform your business
such as adding machine learning and
intelligence to your applications in
order to personalize experiences for
your customers and improve their
engagement you don't need to make large
upfront investments in hardware and
overpay for capacity you don't use
instead you can trade capital expense
for variable expense and only pay for IT
as you consume it with cloud computing
you access resources from the cloud in
real time as they're needed you can
scale these resources up and down to
grow or shrink capacity instantly as
your business needs change
cloud computing also makes it easy to
expand to new regions and to play
globally and minute
for example Amazon Web Services has
infrastructure all over the world so
you're able to deploy your application
in multiple physical locations in just a
few clicks
putting applications in closer proximity
to end-users reduces latency and
improves their experience no matter your
location size or industry the cloud
frees you for managing infrastructure
and data centers so you can focus on
what matters most to your business

you.



What are Cloud Data Technologies: Explained

If you’re new to the world of cloud services

platforms like AWS, Azure, and Google Cloud


Platform, you’re in the right place.

It can be a little overwhelming to understand

what these super technical solutions actually

do, so let’s start by comparing them to

something a little easier to visualize.

Imagine that you’ve built a new house and

need to get electricity for it.

You have two choices:

generate your own electricity, or

buy electricity from the power company.

If you decide to generate your own electricity,

you’ll need to invest a lot of money, space,

and effort in building and maintaining your

power source(s).

You could get a windmill or solar panels,

but what if the weather doesn’t cooperate?


What if the windmill breaks?


Or what if you throw a massive party and suddenly

need a lot more electricity for all those

strobe lights and fog machines?

Of course, you could always just buy a much

bigger windmill, install hundreds of solar

panels, or try to build your own nuclear plant

in your basement to solve those problems...but

now you might be spending a whole lot of time

and money to generate way more power than you actually need.Your other option is to buy electricity from the power company. For a monthly fee, the power company ensures that you have enough electricity to meet your needs. Whenever you keep the lights on late, or turn up the air conditioning, or throw another killer party, you pay a little more to get that extra power to your home.

When you’re out of town, you pay a lot less

because you’re using less electricity.It’s convenient, reliable, and adaptable.

Cloud service platforms, like AWS, works the

same way as the power company.

In the past, businesses used to buy and maintain

their own equipment and infrastructure for

their IT needs.


Things like servers, switches, fans, and lots

and lots of cables were kept onsite and maintained


by the IT department.


But IT equipment isn’t cheap.


It gets outdated quickly.


You have to hire someone (or hire a whole

department!) to maintain everything.


And if that cat meme your company created

suddenly goes viral, there’s a good chance


the increase in web traffic will overwhelm

your infrastructure enough that the whole


thing crashes and you lose your chance to

spread the good word about cats.


Just like that windmill in your backyard,

creating and maintaining your own IT infrastructure


can be expensive, time-consuming, and unreliable.


You either don’t have enough to meet your

needs, or you buy too much and are sitting


on under-utilized, expensive resources.


That’s where services like AWS, Microsoft

Azure, and Google Cloud Platform come into


play.


Like the power company, they have the equipment

and resources to provide on-demand IT infrastructure


via the cloud.


(Like, lots of equipment; huge warehouses

all over the world full of servers, storage,


databases, everything you could possibly need

to rule the internet!)


So instead of building and maintaining everything

yourself, you can use AWS to get exactly what


your company needs, and instantly scale resources

if (when) that cat video finally goes viral.


With AWS, businesses can access as many resources

as they need almost instantly, and only pay


for what they use.


Amazon owns and maintains the network-connected

hardware required for those services, while


customers provision and use what they need

via a web application.


Easy, right?


Today, many companies employ specialists who

design, optimize, and manage the resources


they’re using from AWS.


These network architects analyze the needs

of the business (things like security needs,


web traffic patterns, data storage, automation,

and more) and configure AWS resources so that


the company is optimizing the money it spends

on cloud computing.


Network architects use Lucidchart to diagram

their network infrastructure.


That way, instead of trying to determine how

to best modify or visualize how a system is


working using the AWS console (which looks

like this), they can import their infrastructure


using Lucidchart, then diagram how their AWS

instance is configured.


So there you have it.


The very quick, very high-level overview of

cloud computing and how it applies to Lucidchart.




History Of Cloud Computing :




Although cloud computing has its roots in

technologies dating as far back as the 1950s,

the rise of the Internet and the public release

of the World Wide Web in the 1990s was the

first major step in creating the cloud as

we know it.


Users could connect with each other over the

Internet using their own computers, and their

devices did not need to have a physical connection

to each other.

This spawned the idea: what if users could

access applications and services on the Web

hosted locally or a company’s infrastructure?


Rather than relying on physical distribution,

companies could simply provide a download

link on a webpage for customers to access

from home.


Salesforce was one of the first businesses

to take advantage of this when they released

their business applications online in 1999,

which became the first major example of the

software-as-a-service deployment model.


The next major step in cloud computing’s

evolution came in 2002, when Amazon internally


released Amazon Web Services, or AWS.


Amazon needed to provide their employees with

the database and computing resources they


needed for their projects, but also create

a common, scalable environment that developers


could pull these resources from.


They created AWS as a shared infrastructure

with computing resources already installed


for its users to work with.


This dramatically increased worker productivity

because it eliminated the need to build an


infrastructure for every project, and because

the environment was the same for each project,


it also increased collaboration between developers.


All of this helped fuel Amazon’s decision

to release AWS to the public in 2006, making


it the first public cloud environment on the

market.


The public launch of AWS was comprised of

three services: Simple Storage Service, Simple


Queue Service, and Elastic Compute Cloud.


Amazon also innovated the pay-as-you-use pricing

model, meaning that cloud users only paid


for the resources they used, rather than paying

a fixed rate for a set amount of assets.


And soon this became the default pricing model

that cloud providers use today, as it promotes


cost efficiency for enterprises.


Amazon saw massive success with AWS, and would

expand the platform heavily over the years,


currently supporting over 100 distinct services

within AWS and thousands of businesses.


Even Netflix's massive video streaming library

lives on AWS.


Other companies followed suit as well, and

created their own cloud environments.


Two of the most notable – which I we touched

upon in part of this series - is Microsoft


Azure and Google Cloud Platform, both of which

have gained a steady foothold in the public


cloud market.


Today, cloud computing has grown to encompass

a wide variety of services across a multitude


of technology categories.


It’s not too far-fetched to say that you

can perform just about any business-critical


task in the cloud, and the list continues

to grow.


Companies are designing cloud solutions for

emerging technologies, such as augmented realitya and the Internet of Things.


The majority of enterprises operating today

have adopted a cloud computing solution in

some way, whether they have a full cloud infrastructure or use a handful of cloud-based applicationsn in their business.


This was all about Cloud Data Technologies or Big Data Technologies


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