Amazon Web Services (AWS) is a cloud service platform from Amazon, which offers services in various domains such as compute, Object storage, content delivery and other functionality which helps the organizations to scale and grow their business.
Hence, AWS offering services
are categorized into 3 types such as Infrastructure as a service (IaaS),
software as a service (SaaS) and platform as a service (PaaS). Today it becomes
the best cloud platform among currently available cloud platforms.
Azure is a cloud service
platform by Microsoft, which offers services in various domains such as
compute, storage, database, networking, developer tools and other functionality
which help businesses to scale and grow.
Azure services are also broadly
categorized as the platform as a service (PaaS), software as a service (SaaS)
and Infrastructure as a service (IaaS). This can be used by developers and
software employees to create, deploy and manage services and applications
through the cloud and emerges as one of the biggest commercial cloud service providers.
There are several cloud
computing technologies in the market. You will come across an overwhelming
number of cloud service providers, hybrid solutions, products, services,
features and more. There are two public cloud behemoths that have captured a
majority of the market - Microsoft Azure and Amazon AWS. So, if you are
planning to grow your career in public cloud computing, you need to choose
between these two providers. Making a choice between these two providers is not
an easy job! Both of these companies are leaders in their own rights, so none
has an unprecedented edge over the other. It is important to understand both
these technologies into detail, take into consideration multiple factors before
making a decision. Both Amazon AWS and Microsoft Azure offer similar
capabilities revolving around storage, security, and networking.
Amazon AWS is an already
established leader in cloud computing, while Azure is catching up at a rapid
pace. In terms of popularity, both AWS and Azure are competing on the same
level. One core difference is that AWS operates more on an
Infrastructure-as-a-Service (IaaS) level while Azure operates more on
Platform-as-a-Service (PaaS) level.
It is not surprising when
people say that the future is in cloud computing. Taking cloud computing at
this stage is a great time to get prepared for this evolving industry.
Businesses today are moving away from the traditional methods and approaches,
so the role and demand of a cloud computing expert are going to rise in coming
times. You can build a long and successful career and embrace the new
opportunities arising in cloud computing. Both these cloud computing giants
have their set of merits, you need to understand your skills and interests
before choosing any one of them. It’s the best time for you to move your career
in cloud computing and I would suggest you take a look at Technogeeks
Cloud Computing programs by working IT professionals.
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Address:- 3rd Floor, Plot No 7, Common Wealth Society, Opposite Aundh, Pune, Maharashtra- 411007
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There are specific examinations that candidates can take to get the certifications directly from Microsoft. These exams have moderate to a very high level of difficulty and require students to prepare thoroughly. Many of the certifications are based on specific roles and tasks related to Azure tools and cloud services. Some of the certifications include Azure Fundamentals, Microsoft Certified: Azure Administrator Associate (AZ:104), Microsoft Certified Azure Developer Associate (AZ:204), Microsoft Azure Architect Technologies (AZ:30), Microsoft Azure Architect Design (AZ-301) and more. Different exams check specific expertise related to cloud management and security for granting the certifications.
Every certification is meant to qualify you for different roles and has
different prerequisites and associated exams. Though the preparation technique
is similar for most certifications, some certifications require particular
attention to certain topics and a modification in preparation techniques.
You can also look at the Microsoft Azure Documentation for getting the
base concepts. Especially valuable for beginners, their page contains key
insights in fundamental concepts like Agility, Elasticity, Fault Tolerance,
High Availability, Scalability and other core features in any cloud network.
It also contains Azure-specific details like computation, security and
storage in Azure. Furthermore, it provides a thorough grounding into creating
an account in Azure, networking options, application storage, using PowerShell to
automate Azure tasks and using the CLI for utilizing Azure services.
After brushing up on the exam fundamentals and acquiring the basics from
Microsoft’s own documentation, it is beneficial to join some instructor-led
course to obtain further expertise in the topics and for availing the
mock-exams such courses usually provide.
Any standard course would provide a thorough grounding in the topics
covered in the exam’s syllabus and would also prepare you better by hosting lab
sessions where you can hone your practical skills. And I would recommend you to
enrol in Technogeeks Microsoft Azure certification training
program by working IT professionals.
Another key advantage of instructor-led training is the facility to set
up on-demand classroom training. Here, you can arrange classroom training on
your convenience such as a live class in person, attending live class remotely,
asking questions to the instructor in person and many more.
The Microsoft Azure certification path can be an enriching journey and enable you to pursue a career in the cutting-edge world of the public cloud. With proper preparation and support and with the right instructors, clearing the exams should not be a challenge at all.
For More Information:
Address:- 3rd Floor, Plot No 7, Common Wealth Society, Opposite Aundh, Pune, Maharashtra- 411007
Email: contact@technogeekscs.co.in
Website:- https://technogeekscs.com/
Call Now +91 8600998107
Yes, it is worth learning, in recent times, Data Science, an emerging technology, has perhaps been the most discussed term in the Information and Technology industry. Data Science, Machine Learning, and Analytics is considered to be among the hottest career paths. The demand for skilled data science practitioners in industry, academia, and the government is rapidly growing. The ongoing “data rush” is therefore attracting so many professionals with diverse backgrounds such as physics, mathematics, statistics, economics, and engineering.
With the amount of data that is being generated and
the evolution in the field of Analytics, Data Science has turned out to be a
necessity for companies. Today, more and more organizations, ranging from small
scale to large enterprises, have realized the importance of Data Science and
are implementing its capabilities to successfully scale up their business to
new heights. There is an intense lack of more than 1 million Data Scientists in
the approach to 2020. Some of the roles associated with Data Science are as
follows:
·
Data Scientist
·
Data Engineer
·
Data Analyst
·
Machine Learning Engineer
·
Statistician.
Data science is the amalgamation of your specialized
aptitudes, analytical bent of mind and sharp business keenness making it the job role for the exceptionally skilled and driven having enormous growth
opportunities.
We live in a digital world, everything is data-driven.
There is data science in business, accounting, education, science, engineering,
healthcare, technology, energy sector, government, and so on. So, having the
ability to work with data is an essential skill.
You will lead a various group of tech talent, business
managers, chiefs, and settle on significant level executive decisions that will
legitimately influence the fortunes of the organization putting you directly in
the driver’s seat.
By learning the foundations of data science, you can
increase your odds of getting a job in the data science field. The question to
ask yourself is this: When the opportunity in data science comes knocking at
your door, will you be ready? If you have been putting data science off, this
is the time to start your journey, do not delay.
There are web-based training institutes that give
quality training, profoundly experienced mentors, educational programs in a
state of harmony with the industry goals, real industry projects,
certifications, and job assistance. And I would suggest you take a look in Technogeeks
Data Science program which has well-designed courses which are taught by
industry experts and provide complete knowledge about this field.
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Deep learning is also known as deep structured learning. It is part of a broader family of machine learning methods based on learning data...
