An Azure Data
Engineer is a highly trained professional who is in charge of integrating,
transforming, and merging data from various structured and unstructured sources
into a structure that can be used to build analytics solutions.
The Microsoft
Certified Data Engineer is in charge of designing the entire architecture of
the data flow while keeping the company's business requirements in mind. Azure
Data engineers collaborate with Azure AI services built on top of Azure
Cognitive Services APIs to provide end-users with a variety of ready-made
models. Azure Data Engineers use the Azure Form Recognizer service to
automatically extract data and generate outputs from various documents. The
data engineers are in charge of automating metric calculations with Azure
Metrics Advisor and creating conversational chatbots with Azure Bot Service.
There are numerous other Azure services that can assist Azure Data Engineers in
expanding their capabilities. Let's take a look at the factors driving the
industry's demand for Azure data engineers.
What exactly is the Microsoft Azure Data Engineer exam?
The Microsoft Azure DP-203 Data Engineer Associate exam
requires Microsoft Azure Data Engineers to mix data from various structured and
unstructured data systems into structures that are utilized to build analytics
solutions. This exam measures a person's capacity for organizing and putting
into practice data processing, security, and storage, as well as monitoring and
maximizing data processing and storage.
What is the role of an Azure Data Engineer?
The roles and responsibilities required of a Microsoft Azure Data Engineer are detailed in this section.
· Data engineers provide and establish on-premises and cloud-based data platform technologies. The management of the flow of both structured and unstructured data from various sources is the responsibility of Azure data engineers. Some of the data systems employed are relational databases, non-relational databases, data streams, and file stores. 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.
· In order to identify and address data requirements, Azure data engineers communicate with business stakeholders. They must generate ideas and put them into practice. They are also in charge of administering, overseeing, and assuring data security and privacy to satisfy company needs.
· To be successful, Azure data engineers must be able to solve business issues by fusing one or more Azure Data and Analytics services with data pipelines, data streams, and system integration.
· It is the responsibility of data engineers to deliver data to end-users utilizing Power BI, Azure API Apps, or any other cutting-edge visualization tool or platform.
·
Analyzing current business practices, processes, and procedures to develop
fresh approaches to using Microsoft Azure data and analytics PaaS services in
the future is another essential duty of an Azure Data Engineer.
Who should take the Azure DP 203 certification exam?
Candidates who
are employed by Microsoft Azure as data engineers should take the DP-203 test.
Let's say you agree to take the test. In that situation, you must have a solid
grasp of the principles of parallel processing and data architecture, as well
as data computation languages like SQL, Python, or Scala.
Key Benefits of Azure DP 203
·
By updating a profile with this qualification, one
can strengthen their career profile and raise their chances of getting hired.
·
Earning certification results in a significant
increase in professional options.
·
Database administrators are in high demand and
have risen to prominence across all sectors of the economy.
How to prepare for Azure DP-203?
If you want to prepare for Data Engineering, I recommend enrolling in SkillUp Online Course Azure DP-203. It's a four-day Data Engineering on Azure course for data professionals interested in learning about analytical solutions using Azure data platform technologies.
You will learn about data engineering in terms of the core compute and storage technologies used to construct an analytical solution. You will learn how to run interactive queries in Azure Synapse Analytics using serverless SQL pools, as well as how to perform data exploration and transformation in Azure Databricks and Apache Spark. The best practices for data loading in Azure Synapse Analytics will be introduced to you. You will also learn how to perform petabyte-scale ingestion, code-free transformation, and data integration with Azure Data Factory.
You will also learn how to orchestrate data movement, provide end-to-end security, and design Hybrid Transactional and Analytical Processing using Azure Synapse Analytics (HTAP). You will learn how to enable and configure the Synapse link, as well as how to query the Azure Cosmos DB analytical store with Apache Spark and SQL serverless. You will also learn how to use Event Hubs and Azure Databricks to build a stream processing solution.
Overall, this course will prepare you to take the Azure DP-203 certification exam - Microsoft Certified: Azure Data Engineer Associate.
To know more about SkillUp Online Azure DP 203 Course
Visit: https://skillup.online/courses/dp-203-data-engineering-on-microsoft-azure/
