In today's business world, the power of data is undeniable. It's driving growth and innovation across industries. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 billion by 2026, according to MarketsAndMarkets. This growth is creating a strong demand for data experts, especially Azure data engineers.
But who are Azure data engineers, and what do they do? How can you become one, and what's the cost of getting certified as a DP-203 professional? Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.
Overview of Azure Data Engineer Certification
With the help of Azure, businesses can create serverless computing, data and analytics solutions, business apps, and more. Azure is used by the majority of Fortune 500 firms for a variety of purposes, many of which are in the fields of big data, data science, machine learning, and AI.
Microsoft offers a variety of certifications in foundational, role-based, and specialized skills to assist big data professionals in developing their knowledge of the Azure platform and establishing their reputation in the job market. Microsoft Data Engineer Certification is one such certification which is most sought after by professionals.
The Azure Data Engineer Certification test evaluates one's capacity for organizing and putting into practice data processing, security, and storage, as well as their capacity for keeping track of and maximizing data processing and storage. By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions.
You must have a solid grasp of ideas in parallel processing, data architecture, and data computation languages like SQL, Python, or Scala in order to become a Microsoft Certified Azure Data Engineer.
Why Should You Get an Azure Data Engineer Certification?
Becoming an Azure data engineer allows you to seamlessly blend the roles of a data analyst and a data scientist. One of the pivotal responsibilities is managing data workflows and pipelines, a core aspect of a data engineer's role. To truly understand the importance of data engineers, we can explore the hierarchy of needs in data science.
Data engineers serve as the architects, laying the foundation upon which data scientists construct their projects. They are responsible for the crucial tasks of gathering, transporting, storing, and configuring data infrastructure, which data scientists rely on for analysis and insights.
The significance of pursuing a career as an Azure data engineer extends beyond the intrinsic value of the role itself. It opens up a realm of promising employment opportunities, not only in terms of monetary compensation but also in the prestige of potential employers. Data engineering is a dynamic and evolving field that is expected to endure amidst changing trends in technology.
One compelling aspect of validating your expertise through Azure certifications is the tangible proof it offers. These demanding certification exams establish your proficiency in data engineering on the Azure platform, providing concrete evidence of your skills.
Moreover, Azure's growing popularity in the market makes it a strategic choice for those looking to enter the world of data engineering. Azure currently stands as the second-largest vendor of cloud services, solidifying its position as a platform worth investing in for aspiring Azure data engineers. In conclusion, pursuing an Azure Data Engineer Certification opens doors to a world of opportunities and validation in the ever-expanding field of data engineering.
Azure Data Engineer Certification Cost
1. DP 203 exam Cost: $165
2. Exam Details:
- Exam Duration: 150 minutes
- Number of questions: 40 to 60
- Passing Marks: 700/1000
3. Exam syllabus: When it comes to the way it designs its exams, Microsoft is incredibly open. This makes it much simpler for you to formulate an efficient study strategy and helps you narrow your attention to the pertinent material. The latest Azure exam from Microsoft is structured as follows:
- Design and implement data storage: Creating and implementing a storage structure, a partition, and a serving layer are tested in this portion (40–45%).
- Design and develop data processing (25–30%): This component is concerned with ingesting and developing reliable data processing solutions.
- Design and implementation of data security (10–15%): In this phase, a data security protocol is designed and put into action.
- Monitoring and enhancing data processing and storage (10–15%): This section may test your proficiency with data management, optimization, and troubleshooting.
IntellipaatGuide to Azure Data Engineer Certification
The exam preparation for the Azure data engineer is difficult for many people. An organized preparation makes a professional confident and increases exam success rates. Explore all of the course information, whether it is available online or offline, first.
To pass the DP-203 exam, it is essential to locate and identify the important study resources for cloud computing learning path. You need to grasp the fundamentals before delving into the complex subjects because this is a difficult exam.
1. Microsoft learning platform: Azure data engineering training is officially documented by Microsoft. These documents are mostly text-based, with videos used to help self-learners understand some of the ideas.
To understand the capabilities in detail, you must see the official documentation. But if you want to avoid trying to earn the Azure certification for months, these aren't enough to pass the DP-203 exam.
2. Training: Joining the online KnowledgeHut Microsoft Data Engineer certification training that business experts offer is the ideal approach to get ready for the DP-203 data engineering on Microsoft Azure exam. When you enroll in training courses, you will get access to video training resources where you may see lectures by business experts and learn the concepts in greater detail.
You will be guided through the fundamental computing and storage technologies of the Azure platform in the course videos. Then, you can create analytical layer serving designs. You can browse the data lake files with the interactive training material.
Additionally, Apache Spark can be used to learn ingestion methods. You can then use data transformation technologies once you have mastered data ingestion procedures. Knowing about performance monitoring and analysis for analytical systems is the next step.
To safeguard data while it is in transit and at rest, you must also learn how to deploy security measures. Finally, Azure Synapse Analytics may be used to learn how to create predictive models.
To learn about the practical aspects, you can also sign up for webinars led by experts and pioneers in the field. This session will introduce you to the most recent methods and trends for maximizing the potential of the Azure platform.
Try to use your theoretical information as soon as possible, since this will help you remember it and put it to use during exams. The exam consists of 40–60 questions that use case studies and scenario-based question–answer structures, among other question kinds and styles. These are primarily connected to the actual work that you might be doing at Azure.
What are the Job Titles to Land After Azure Data Engineer Certification?
1. Data Engineer
Data platform solutions that are on-premises and in the cloud are provisioned and set up by data engineers. They control and safeguard the flow of organized and unstructured data from many sources. Relational databases, nonrelational databases, data streams, and file stores are some examples of the data platforms they use. Additionally, data engineers guarantee that data services securely and fluidly interface with other data platform technologies or application services, such as Azure Cognitive Services, Azure Search, or even bots.
2. AI Engineer
Cognitive Services, Cognitive Search, and Bot Framework are just a few of the AI services that AI engineers use. Bing Search, Text Analytics, Language Understanding (LUIS), and Computer Vision are all examples of cognitive services.
The prebuilt features of Cognitive Services APIs are used by AI engineers instead of constructing models. These abilities are integrated by AI developers into a bot or program, whether it is new or already exists. To store the data that artificial intelligence engineers produce, data engineers rely on their skills.
For instance, a computer vision application that analyses photos may be the focus of an AI engineer. This AI engineer would ask a data engineer to set up an Azure Cosmos DB instance so that the computer vision application's generated tags and metadata could be stored there.
3. Data Scientist
To extract value from data, data scientists execute sophisticated analytics. Descriptive analytics and predictive analytics are both possible types of work they may do. Through a procedure called exploratory data analysis (EDA), descriptive analytics assess data. To apply modelling strategies that can find anomalies or patterns, machine learning uses predictive analytics. In forecasting models, these play a significant role.
Just one facet of data scientists' work is descriptive and predictive analytics. Some data scientists may even work in the field of deep learning, iteratively exploring to find a solution to a challenging data issue utilizing unique methods.
Benefits Of the Azure Data Engineer Certification
I’ve listed some of the benefits of earning the Azure Data Engineer Certification below:
1. Industry relevant Learning: Microsoft Azure provides a condensed certification learning strategy that enables quick learning. There are numerous more simple-to-examine programs available, such as Hadoop, Xcode, and Eclipse. Beginners can so easily become accustomed to the platform and use Azure services. You can use internet tools including books, videos, university courses, and tutorials to help you prepare for the Azure certification exam. The best way to learn practical information is through skilled offline training, though.
2. Shows your commitment: Given how much effort is required to obtain one, having an Azure Data Engineer certification demonstrates your ability to commit. You must enrol in a course, complete the required coursework, pass all tests, and then receive a certificate. This indicates that you can devote your time and resources to achieving a goal and that you are dedicated to advancing your career goals over the long run.
By holding a Microsoft Azure Data Engineer certification, you demonstrate a willingness to commit your time and resources to achieving a specific goal. These qualities could help you advance in your job over time and are highly valued by top companies. This can also lead to a far wider range of job opportunities and help you stand out from the fierce competition.
3. Better salaries: The increased pay and improved market standing that come with becoming Microsoft Azure Data Engineer certification are important additional factors. Your qualifications as a Microsoft Azure certified professional show the range of talents you possess. You receive larger compensation packages globally compared to other IT disciplines due to the greater demand for cloud computing expertise.
4. Flexibility in Career: You have a wide range of employment opportunities available to you if you have a Microsoft azure Data Engineer certification. Having the qualification enables you to operate in various industries and regions. Many benefits are associated with using cloud computing, and most businesses are shifting their workloads there.
With a Microsoft Azure certification, you may find yourself designing, implementing, or managing cloud services across a variety of sectors, such as finance, healthcare, banking, government, or insurance. Many Microsoft Azure-certified cloud computing specialists work in remote capacities in countries all over the world, including the United States, Asia, and Europe.
Azure Data Engineer Certification Salary
- United States: 132,563 per year
- UK: £65,000 per year
- Germany: €61,238 per year
- Canada: $88.244 per year
- India: ₹8,30,724 per year
Conclusion
From my explanation above, it is evident how to become a data engineer, azure dp 203 certification cost and its benefits. But you must be quite selective in your profession choice. To get ready for this certification, a lot of work is required. To pass this exam, you need a defined certification path, appropriate instruction, and commitment. If you don't have a precise comprehension of the principles, no number of dumps will help. A brighter and more prosperous future in data engineering depends on you being ready for the rising technologies that are being launched in big data and analytics.
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