At the moment, data is the greatest superpower. I, as a business owner, can make better decisions if the right and relevant data is collected. Furthermore, effective information utilisation may help to enable enhancements in customer service. This has contributed to the unexpected increase in demand for data scientists. In the clamour for data scientists, nobody, however, emphasizes the importance of a data engineer.
One of the most sought-after career positions in the Microsoft Azure ecosystem is an Azure data engineer. The information that I will share in this article will serve as an illustration of a manual for Azure data engineer certification. Also included in the conversation would be information on the benefits of choosing a career as a data engineer. Azure Data Engineer certification will help you gain mastery over the domain.
What is Microsoft Azure Data Engineer Certification?
The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services.
Azure Data Engineer works on designing, deploying, and managing data management and processing systems on the Microsoft Azure cloud platform. They are in charge of making sure that data is efficiently and effectively stored, processed, and safeguarded when working with big and complicated data sets.
A range of Azure data services, including Azure Synapse Analytics, Azure Data Factory, Azure Stream Analytics, and Azure Databricks, are used by Azure Data Engineers to create and build data solutions that are appropriate for their organisation. They also collaborate with other Azure technologies to develop, deploy, and manage data pipelines and data-driven applications, such as Azure Functions, Azure Kubernetes Service, and Azure DevOps.
Is Azure Data Engineer Certification Worth It?
In my opinion, Azure Data Engineer Certification is definitely worth it for people who wish to make a career in this field. A profession in Azure data engineering can be satisfying even when it is challenging. By making it simpler for data scientists, data analysts, and decision-makers to access the data they need to conduct their jobs, data engineers and their expertise play a critical part in an organization's success. To provide their customers with scalable solutions, businesses rely on the expertise and abilities of data engineers. Additionally, as more companies use data to inform their decisions, data security will become even more important. For creating and executing security solutions to protect data from breaches and other hazards, data engineering skills will be essential.
With the help of an Azure Data Engineer professional certification, you can prove to prospective employers that you have the required skill set by having your knowledge and talents validated against established benchmarks. This professional certification confirms that the applicant is a certified professional and is not only looking to advance their career in data engineering. Data engineers will have an edge over rivals if they have attained one or more qualifications. For data engineers just starting out, certifications might be an effective replacement for work experience. Furthermore, a professional certificate gives you the credential that will enable you to apply for jobs and improves your chances of obtaining well-paying data engineering roles. The best Cloud Computing courses will pave way for a detailed learning.
Benefits of Azure Data Engineer Certification
- Growth in Career: With Azure certification, you can frequently boost your career regardless of whether you are currently employed in the area or hoping to get into it. The most sought-after IT credentials right now are those in Azure, and they can help you get a better career or advance in your current position.
- Increase in salary: Because it combines the programming, software engineering, and sophisticated analytics abilities needed by data scientists, data engineering is one of the most in-demand employment roles in existence today. Since these specialists are naturally in demand, they earn attractive incomes.
- More flexibility in career: You can choose from a variety of job paths if you have a Microsoft Azure certification. A solution architect, a developer, or a cloud architect are all possible career paths. You can work in a variety of businesses and places thanks to the qualification.
Due to the advantages, they receive in terms of networking, computation, and storage, businesses across all industries are moving to the cloud. A certification in Azure can help you break into a variety of positions in businesses including healthcare, banking, and entertainment. Additionally, a large number of certified Azure professionals are employed in a variety of nations, including France, the UK, France, the US, and others.
- Improved security for your company: By staying up to date with the newest trends and alternatives, becoming certified can help you increase cloud security for your business. You'll stay current on changes and new technology if you renew your qualifications. Your increased security understanding often increases your attractiveness to employers, particularly for employment in cloud security.
- Enhanced skill set: You'll often be more competitive in the job market if you have more expertise of cloud computing. Your ability to use machine learning and artificial intelligence can be improved with Azure certification.
Knowledge of cloud principles and an awareness of the fundamental elements of Azure's architecture are among the abilities assessed in the certification examinations. Azure identity, access and security, as well as governance and compliance, are other abilities that are taught.
How Long Does Microsoft Azure Data Engineer Certification Take?
With my numerous interactions with aspirants and certificate holders, one certain thing that has come is that to complete this Professional Certificate, you should be ready to work hard. Around 20 hours of online coursework, 5 hours of practise tests, 5 hours of reading, and additional time to comprehend the tools and register will be required.
There are between 40 and 60 questions on the DP 203 exam, and they can be multiple-choice, ordering, scenario-based single-answer, drop, and other types of questions. The exam lasts 120 minutes, and a 700 score is required to pass. The exam is only available in English.
Microsoft Azure Data Engineer Certification Career Opportunities
I have seen data engineers finding employment in businesses or on projects focusing on a variety of industries, including artificial intelligence (AI), software, data analytics, healthcare, IT, retail, marketing, government, transportation, and more. They have the option of working remotely or on-site full-time. While a data engineer's day is never the same, you might encounter them running queries, building data pipelines, coding, designing data stores, fusing data sources, or meeting with data scientists.
1. Data Engineers
On-site and cloud data platform technologies are configured and provisioned by data engineers. They control and protect the flow of both organised and unstructured data coming from various sources. They may use file stores, data streams, relational databases, and non-relational databases as their data platforms. Data engineers also make ensuring that data services connect safely and without a hitch with other data platform technologies or application services, including Azure Cognitive Services, Azure Search, or even bots.
The duties of the Azure data engineer are all about data in Azure. Using services and technologies to ingest, egress, and transform data from various sources is one of your main tasks. To identify and address data requirements, Azure data engineers work with business stakeholders and come up with and carry out solutions. To meet corporate requirements, they also oversee, administer, and guarantee the privacy and security of data.
2. Data Scientists
To extract value from data, data scientists undertake advanced analysis. They may engage in both descriptive and predictive analytics in their job. Exploratory data analysis (EDA) is the method used by descriptive analytics to assess the data. Machine learning uses predictive analytics to put modelling strategies to use in identifying anomalies or patterns. These are a crucial component of forecasting models.
Only a small portion of data scientists' work involves descriptive and predictive analytics. Some data scientists may even work in the field of deep learning, iteratively experimenting with different methods to resolve complex data problems.
According to anecdotal evidence, feature engineering and data wrangling take up the majority of the time in a data science project. When data engineers successfully wrangle data using their expertise, data scientists can expedite the experimentation process.
3. AI Engineer
AI services like Cognitive Services, Cognitive Search, and Bot Framework are used by AI engineers. Bing Search, Language Understanding (LUIS), Text Analytics, and Computer Vision are all examples of cognitive services. AI engineers use Cognitive Services APIs' prebuilt features rather than building their own models. A new or current application or bot incorporates these features thanks to AI engineers. Data engineers' knowledge is used by AI engineers to store the information produced by AI.
A computer vision application that interprets photos, for instance, might be the focus of an AI engineer. To store the information and tags that the Computer Vision programme generates, the AI engineer would ask a data engineer to set up an Azure Cosmos DB instance.
How Difficult is the Microsoft Azure Data Engineer Certification Exam?
Without prior experience and diligent study, passing the Microsoft Azure Data Engineer certification test is challenging. A holistic training course can help you get ready for this because you will need to adjust and enhance your knowledge to match what is on the exam.
This exam tests how well you can configure each component of a data processing pipeline and set it up. It necessitates that you possess in-depth understanding of parallel processing, data architecture patterns, and data computation languages (ideally SQL, Python, or Scala).
Conclusion
As I have explained in this article, data is important to organizations since they may use it for a variety of things. Key data-related functions in organizations are managed by cloud services, particularly those provided by Azure. For years to come, the IT industry's hot topics will be data and Azure. The best fitment for these two fields is a Microsoft Certified Azure Data Engineer. KnowledgeHut's Azure Data Engineer course is one such certification that will aid in boosting your learning.
