Top Microsoft Technology Trends 2022
Top Microsoft Technology Trends 2022
In today's challenging business landscape, it is constantly evolving technology.
According to Forbes, after 2018, more than 50% of global IT spending towards cloud-based.
Microsoft also offers various certification courses to train professionals in these new technologies.
Organizations, including governments, enterprises, and small businesses, are modernizing and innovating using cloud services. The pandemic, in a way, has demonstrated that digitally fortified firms are more adaptable, resilient, and capable of transforming when confronted with a crisis.
Simulation, automation, and remote everything is becoming a reality with the move to a digital first world. The first trend is that every business is becoming a digital business and building your own digital capability will be crucial.
Getting certified in these new technologies can give us the skills needed to create a highly scalable career in the IT industry.
Cloud is at the heart of accelerating digital transformation and innovation.
Across every industry and geography, companies are working hard to keep pace with evolving business needs and build on their existing digital investments.
This requires that you have the best multi-cloud, multi-edge infrastructure. Computing is becoming distributed and embedded in the real world.
.NET 6. release is the result of just over a year’s worth of effort by the .NET Team and community. C# 10 and F# 6 deliver language improvements that make your code simpler and better.
.NET 6 delivers the final parts of the .NET unification plan that started with .NET 5. .NET 6 unifies the SDK, base libraries, and runtime across mobile, desktop, IoT, and cloud apps. In addition to this unification, the .NET 6 ecosystem offers:
Simplified development: Getting started is easy. New language features in C# 10 reduce the amount of code you need to write. And investments in the web stack and minimal APIs make it easy to quickly write smaller, faster microservices.
Better performance: .NET 6 is the fastest full stack web framework, which lowers compute costs if you're running in the cloud.
Ultimate productivity: .NET 6 and Visual Studio 2022 provide hot reload, new git tooling, intelligent code editing, robust diagnostics and testing tools, and better team collaboration.
.NET 6 will be supported for three years as a long-term support (LTS) release.
.NET 6 is supported by Visual Studio 2022 and Visual Studio 2022 for Mac (and later versions).
FileStream The System.IO.FileStream type has been rewritten for .NET 6 to provide better performance and reliability on Windows. Now, FileStream never blocks when created for asynchronous I/O on Windows.
DOTNET_TieredPGO environment variable.Crossgen2 .NET 6 introduces Crossgen2, the successor to Crossgen, which has been removed. Crossgen and Crossgen2 are tools that provide ahead-of-time (AOT) compilation to improve the startup time of an app. Crossgen2 is written in C# instead of C++, and can perform analysis and optimization that weren't possible with the previous version.
Hot reload Hot reload is a feature that lets you modify your app's source code and instantly apply those changes to your running app. The feature's purpose is to increase your productivity by avoiding app restarts between edits. Hot reload is available in Visual Studio 2022 and the dotnet watch command-line tool.
2. Machine Learning(ML) and Artificial Intelligence (AI)
Artificial Intelligence (AI) and Machine Learning (ML) have become the frontrunners when it comes to implementing cloud computing.
What is machine learning?
In a simple example, if you load a machine learning program with a considerable large dataset of x-ray pictures along with their description (symptoms, items to consider, and others), it ought's to have the capacity to assist (or perhaps automatize) the data analysis of x-ray pictures later on.
Sometimes, these devices communicate with other related devices and act on the information they get from one another. The devices do most of the work without human intervention, although people can interact with the devices -- for instance, to set them up, give them instructions or access the data.
IoT can also make use of artificial intelligence (AI) and machine learning to aid in making data collecting processes easier and more dynamic.
With users increasingly switching to mobile devices, the growth in cloud computing and security remains directly proportionate. Azure Sphere, Microsoft’s secure IoT platform, works to ensure that your data and cloud is fully secure and cannot be accessed by third parties. Azure Sphere is ready to use for your products today
4. Cybersecurity is the biggest threat to the industry. Cloud computing is arguably the fastest-growing technology today. Public spending on cloud computing is projected to grow from USD 229 billion in 2019 to nearly USD 500 billion in 2023, according to an IDC report.\
For enterprises globally, security is one of the key challenges to overcome when migrating business solutions to the cloud. According to reports, for many large organizations, there are nearly 17,000 security alerts every week. That is a humongous number if you consider the number of cybersecurity breaches that happen worldwide, which leads to loss of revenue in billions of dollars.
. Cybercrime is also costing economies more than $6 trillion each year, which is expected to increase to $10 trillion by 2025. Every organization needs comprehensive tools across identity, security, compliance, privacy, as well as management. In addition to that, they need a cross-platform multi-cloud zero-trust architecture.
As privacy and data breaches become a key consideration in the way how people use Internet, Web 3.0 and blockchain will be the foundational technology that will drive this trend.
5. HPC and AI The convergence of HPC (High performance computing) and AI is a revolution. This will enable researchers; health tech industry to make new discoveries faster and advance state-of-the-art science. Customers are increasingly finding the best way to access such high-performance computing (HPC) is through the agility, scale, security, and AI cloud services.
6. AR/VR As remote working becomes the norm, an online virtual world which incorporates augmented reality, virtual reality, 3D holographic avatars, video and other means of communication will help employees to communicate personally in the virtual world. What’s most important is that we can bring our humanity with us and choose how we want to experience this world and who we want to interact with.
Finally Cloud adoption will continue to grow and evolve in years to come. Microsoft Azure is a fast-rising market leader with 29% workload in the cloud computing market.
What we should Learn?
Microsoft offers many role-based Azure Certifications .Presently, Microsoft multiple Microsoft Azure certifications at 3 different levels:
Fundamental: Azure - AZ-900 Azure AI - AI-900 (beta) , Azure Data - DP-900 (beta)
Associate: Azure Administrator - AZ-103, Azure Developer - AZ-203 ,
Azure Security Engineer - AZ-500, Azure AI Engineer - AI-100, Azure Data Scientist - DP-100
Expert: Solutions Architect - AZ-300 and AZ-301 ,Azure DevOps Engineer - AZ-400
CERTIFICATION LEVEL & EXAM
AZ-900:
Candidates for this exam should have foundational knowledge of cloud services and how those services are provided with Microsoft Azure. The exam is intended for candidates who are just beginning to work with cloud-based solutions and services or are new to Azure. Fundamental cloud concepts like High Availability, Scalability, Fault Tolerance, Disaster Recovery.
If you have a background that’s both technical and non-technical, along with a foundational knowledge of ML and AI concepts and related Microsoft Azure services, you’re in the right place. Data science and software engineering experience are not required, but some general programming knowledge or experience would be beneficial. The Azure AI Fundamentals certification can also help you prepare for other Azure role-based certifications, like Azure Data Scientist Associate or Azure AI Engineer Associate. Describing fundamental principles of machine learning on Azure.
It involves describing and identifying Types of core data workloads, core concepts of analytics.
It involves the knowledge and skills of implementing, monitoring and maintaining Azure services, including- computing- storage- networking- security
Candidates for this exam are Azure Developers who design and build cloud solutions such as applications and services. They participate in all phases of development, from solution design, to development and deployment, to testing and maintenance. Cloud database administrators, cloud solution architects, administrators ,clients.
AZ-204:
Candidates for this exam should have subject matter expertise designing, building, testing, and maintaining cloud applications and services on Microsoft Azure. A candidate for this certification should have 1-2 years professional development experience and experience with Microsoft Azure. In addition, the candidate for this role should have the ability to program in a language supported by Azure and proficiency in Azure SDKs, Azure PowerShell, Azure CLI, data storage options, data connections, APIs, app authentication and authorization, compute and container deployment, debugging, performance tuning, and monitoring.
AZ-500:This certification is for developers who
- implement and manage security controls
- identify and access management
- responsible for cloud data, app and network security
AI-100:This associate level certification is for IT professionals who implement AI solutions like speech, computer vision, bots, and natural language processing, using cognitive services, machine learning, and knowledge mining
DP-100:This is designed for the design and implementation of a Data Science Solution on Azure. It teaches the application of machine learning applications like
- training
- evaluation
- deployment of models used to solve business problems
AZ-301: This is the expert-level certification, among other things we will learn how to
- design a site recovery and data archiving strategy
- design deployment, migration and API integration strategy
- design, compute, storage, networking and monitoring strategy
Don't think twice, start learning from today.
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