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- Azure Data Engineer Certification Path (DP-203): 2025 Roadmap
Azure Data Engineer Certification Path (DP-203): 2025 Roadmap
Updated on Sep 26, 2023 | 9 min read
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Table of Contents
The demand for knowledgeable data engineers that can plan, create, and maintain sophisticated data infrastructure is growing as the amount of data created by enterprises continues to increase dramatically. The success of our career as an Azure Data Engineer depends on our ability to master several different talents.
Today's businesses may gather vast volumes of data. Data is necessary for everything, including analytics and traffic monitoring. Businesses require an infrastructure that educates their staff to sort and analyze this volume of data to handle such big data. Data engineering services can be used in this situation.
Data engineers work on the data to organize and make it usable with the aid of cloud services. Data Engineers and Data Scientists have the highest average salaries, respectively, according to PayScale. Azure data engineer certification pathgives detailed information about the same.
Who is an Azure Data Engineer?
A person who designs and implements data management, monitoring, security, and privacy utilizing the entire suite of Azure data services to meet an organization's business needs is known as an Azure Data Engineer. When designing, constructing, maintaining, and troubleshooting data pipelines that transfer data from its source to the proper storage place and make it accessible for analysis and reporting, we collaborate with data architects and data scientists.
We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. We should also be familiar with programming languages like Python, SQL, and Scala as well as big data technologies like HDFS, Spark, and Hive.
Because we have to often collaborate with cross-functional teams and are in charge of translating the requirements of data scientists and analysts into technological solutions, Azure Data Engineers need excellent problem-solving and communication skills in addition to technical expertise.
As well as being able to develop and execute data pipelines that can handle structured, semi-structured, and unstructured data, we should feel at ease dealing with a range of data sources and kinds. The main exam for the Azure data engineer path is DP 203 learning path.
Overall, because we are in charge of making sure that data is accurately gathered, saved, and made accessible for analysis and reporting, Azure Data Engineers play a critical role in organizations that depend on data to guide business choices. You can learn more about the same in Microsoft Azure Data Engineer.
What Does an Azure Data Engineer Do?
A highly trained individual known as an Azure Data Engineer is in charge of combining, manipulating, and consolidating data from diverse structured and unstructured data sources into a manner appropriate for developing analytics solutions. By considering the needs of the business, a Microsoft Certified Data Engineer designs the whole architecture of the data flow.
To store analytical data properly, data engineers also manage it by building a data warehouse. ETL activities are also the responsibility of data engineers. Data needs to be extracted from a variety of sources, transformed, and loaded into the storage systems of businesses.
The duties and responsibilities that a Microsoft Azure Data Engineer is required to carry out are all listed in this section:
- Data engineers provide and establish on-premises and cloud-based data platform technologies. We as Azure data engineers are in charge of managing and securing the flow of data from various structured and unstructured data platforms. Relational databases, nonrelational databases, data streams, and file stores are examples of data systems. The safe and efficient integration of data services with other data platform technologies or services, such as Azure Cognitive Services, Azure Search, etc., is the responsibility of data engineers.
- It is the responsibility of data engineers to show data to end users utilizing Power BI, Azure API Apps, or any other cutting-edge visualization tool or platform.
- In order to address business issues, Azure data engineering specialists must be able to combine one or more Azure Data and Azure Synapse Analytics services with data pipelines, data streams, and system integration.
- To ascertain and address data requirements, they engage with business stakeholders. They must generate ideas and put them into practice. In order to satisfy company demands, they are also in charge of administering, overseeing, and guaranteeing data security and privacy.
- Analyzing current business practices, processes, and procedures in order to create new methods to utilize Microsoft Azure data and analytics PaaS services in the future is another essential duty of an Azure Data Engineering specialist.
Azure Data Engineer Skills
A thorough knowledge of the necessary skill sets is crucial to success given the growing number of Azure Data Engineer opportunities. All data engineers need the same essential abilities. The following are some of the fundamental abilities that we as data engineers need to have:
- An engineer working with data should be aware of the evolving data landscape. Additionally, we must be aware of how data systems have developed and helped data professionals. I had learnt about cloud essentials in Cloud training courses.
- Find out what makes on-premises and cloud data solutions different.
- A data engineer has to be well-versed in both the duties of the field and the related sector. Additionally, a thorough grasp of Azure services is crucial.
We must also specialize in role-specific skill sets to land an Azure data engineer position. The role-specific competencies highlight the essential skills and knowledge needed by data engineers to perform their duties. For the Azure certification path for data engineering, we should think about developing the following role-specific skills:
- Most of the data processing and storage systems employ programming languages. Programming languages like Python, Java, or Scala require a solid understanding of data engineers.
- Data is transferred into a central hub, such as a data warehouse, using ETL (extract, transform, and load) processes. Learn about well-known ETL tools such as Xplenty, Stitch, Alooma, etc.
- Automation is essential for handling such big data since businesses acquire enormous volumes of information. Using scripts, data engineers ought to be able to automate routine tasks.
- Data engineers handle vast volumes of data on a regular basis and don't only deal with normal data. Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka.
- Many firms still rely on their data engineers to handle and preserve data in a secure manner to prevent loss or theft, even if some have dedicated data security teams.
- One of the most popular ways to store data is in databases, both relational and non-relational. To understand the database and its structures, you must learn SQL.
- Different techniques are employed to store various kinds of data. Knowing when to use a data lake instead of a data warehouse to produce data solutions for an organization is preferable.
- Although machine learning is the main focus of data scientists' work, having a rudimentary knowledge of the concepts may assist managers in better appreciating the expectations of data scientists on their teams.
- Cloud services are being used by businesses to replace physical servers, thus data engineers must be familiar with these technologies.
Who Should Go for Azure Data Engineer Certification?
IT specialists, developers, and experts in data and artificial intelligence (AI) who operate inside the Microsoft cloud computing system can obtain Azure certificates.
There isn't a set requirement for someone should pursue this certification. Practically, every enthusiast for Azure or Data should try it. However, the following experts fit this credential the best:
- IT experts with Azure working experience.
- Engineers in data with at least one year of experience.
- IT workers looking to advance their careers as Azure Data Engineers.
A bachelor's degree in Azure data engineer career path, practical Azure data services experience, programming language learning, applicable certifications, and keeping up with market developments are all recommended for someone interested in a career as an Azure Data Engineer. You can go through the learning path for Azure data engineer.
Path to Become an Azure Data Engineer
There are several processes involved in becoming a Microsoft Certified Azure Data Engineer. We must follow these instructions and get ready for the certification at our own speed. We should be aware that not everyone follows the same learning path for Azure Data Engineer.
The approach to earning this certification is the same for both newcomers and IT professionals looking to change careers. The road will be considerably simpler for us if we already work in this field and wish to earn this certification to enhance your career.
Following are the steps to becoming an Azure data engineer certification roadmap which I had personally followed:
- Learn the essentials for Azure Data Engineer through KnowledgeHut Microsoft Azure Data Engineer and give test examinations.
- Get to know about the exam style and type of questions asked in the exam. You can go through the Azure data engineer learning path.
- Prepare for your exam by giving mock tests on KnowledgeHut and online.
- Book and schedule your exam once you are fully prepared for it.
Key Benefits of Azure Data Engineer Certification
Data Engineering has the greatest yearly growth rate of any IT career, according to a Dice Marketing report. Microsoft Azure data engineer learning path provides further advantages to workers in an ever-expanding field. For companies that offer a range of services, Azure is the best cloud platform, and it provides several Azure certifications to advance certain Azure abilities. Every year, more than 3,65,000 businesses register with Azure, which puts it in the same ballpark as AWS. There is a great need for Azure Data Engineers since many businesses trust and use Microsoft Azure.
Let's examine these advantages in the list that follows:
- Validation: Employers and organizations in the IT industry value Microsoft certification. It confirms your skill and understanding as an Azure Data Engineer.
- Compensation Increase: According to Microsoft, experts who become certified in their products see a 20 percent compensation increase.
- Opportunities: For people wishing to work in their dream company, certification opens the door to additional and better chances in the sector.
- Digital Badge: Certification gives you a digital badge that you may use to stand out on your CV or on LinkedIn. It can quickly capture recruiters' attention and inspire confidence in your abilities.
Conclusion
An Azure Data Engineer is an essential member of any team that uses data to make business choices. Companies may make sure that their data is accurately gathered, saved, and made available for analysis and reporting by employing qualified personnel who are knowledgeable in Azure data services.
The above blog has demonstrated a clear path to becoming a data engineer. However, we must be very selective in our professional choice. For this certification, a lot of preparation is required. To pass this test, you need to have a defined certification route, the right training, and commitment. Unless you have a precise comprehension of the principles, no dumps will be helpful. For a better and more prosperous future in data engineering, we need also to get ready for the introduction of developing technologies in big data and analytics.
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