Course HighlightsCOURSE
DP-203: Data Engineering on Microsoft Azure

DP-203: Data Engineering on Microsoft Azure

Learn how Azure services work together to enable you to design, implement, operationalize, monitor, optimize, and secure data solutions on Microsoft Azure.

Benefit from instructor-led preparation for the DP-203 certification exam with tips, tricks, guidance, and mentored support.

DP-203: Data Engineering on Microsoft Azure Highlights

Course Enrollment

Starts on

12 September 2022

Enrollment closes on
21 August 2022

  Course duration

Duration

  • 4 days, online
    8 hours/day
  Course Fee

Fee

US$ 2,220

Course Enrollment

Starts on

12 September 2022

Enrollment closes on
21 August 2022

Course duration

Duration

  • 4 days, online
    8 hours/day
Course Fee

Fee

US$ 2,220

Azure DP-203 is a four-day Data Engineering on Azure course designed for data professionals who want to learn about analytical solutions using Azure data platform technologies.

In this course, you will learn about data engineering with respect to the core compute and storage technologies that are used to build an analytical solution. You will learn how to run interactive queries using serverless SQL pools in Azure Synapse Analytics, and how to perform data exploration and transformation in Azure Databricks and Apache Spark. You will be introduced to the best practices used for data loading in Azure Synapse Analytics. Plus, you will learn about performing petabyte-scale ingestion, working on code-free transformation, and data integration with Azure Data Factory.

You will also explore how to use Azure Synapse Analytics to orchestrate data movement, provide end-to-end security, and design Hybrid Transactional and Analytical Processing (HTAP). You will build your understanding of how to enable and configure Synapse link, and how to query the Azure Cosmos DB analytical store using Apache Spark and SQL serverless. And you will become familiar with how to use Event Hubs and Azure Databricks to create a stream processing solution.

Overall, this course will prepare you for taking the DP-203 certification exam - Microsoft Certified: Azure Data Engineer Associate. Entry for the exam is not included. However, you will get a clear overview of the Microsoft certification process, plus you will get lessons, tips, and useful information.

This course comprises eleven purposely designed modules that take you on a carefully defined learning journey.

It is an instructor-led course which runs to a fixed schedule, with set start and finish dates. It is driven forward by your instructor and features live sessions that are aired at a set time. You will, however, have time to complete certain activities at your own pace outside of the live sessions.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs and online exams questions.

As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.

Once you have successfully completed the course, you will earn your Certificate of Completion.

You will be able to:

  • Design and implement data storage.
  • Design and develop data processing.
  • Design and implement data security.
  • Monitor and optimize data storage and data processing.
  • Data engineers.
  • Data architects.
  • Business intelligence professionals. 
  • Data analysts and data scientists who work with analytical solutions built on Microsoft Azure will also find this useful.
  • Professionals who are looking to clear their DP-203 certification exam.

You should have these certifications before starting the course:

  • AZ-900 - Azure Fundamentals
  • DP-900 - Microsoft Azure Data Fundamentals

This course will help you to prepare for the DP-203: Data Engineering on Microsoft Azure exam.

It is ideal for individuals who want to understand the core compute and storage technologies that are used to build an analytical solution.

  • You will explore integrating, transforming, and consolidating data from various structured and unstructured data systems into a structure that is suitable for building analytics solutions. 
  • You will learn how to ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a set of business requirements and constraints.
  • You will explore Azure Databricks, Data Warehouse, Apache Spark, Azure Synapse, and Stream Analytics.

When you take this course, you will also get information and guidance on the Microsoft certification process, knowledge checks and practice questions, and useful tips on how to pass the exam.

Course Outline

Enrollment is Closed
Introduction
Grading Scheme
Pre-Requisite
Exam and Certification Details
About this module
Introduction to Azure Synapse Analytics
Describe Azure Databricks
Introduction to Azure Data Lake storage
Describe Delta Lake architecture
Work with data streams by using Azure Stream Analytics
Knowledge Check
About this module
Explore Azure Synapse serverless SQL pools capabilities
Query data in the lake using Azure Synapse serverless SQL pools
Create metadata objects in Azure Synapse serverless SQL pools
Secure data and manage users in Azure Synapse serverless SQL pools
Knowledge Check
About this module
Describe Azure Databricks
Read and write data in Azure Databricks
Work with DataFrames in Azure Databricks
Work with DataFrames advanced methods in Azure Databricks
Knowledge Check
About this module
Understand big data engineering with Apache Spark in Azure Synapse Analytics
Ingest data with Apache Spark notebooks in Azure Synapse Analytics
Transform data with DataFrames in Apache Spark Pools in Azure Synapse Analytics
Integrate SQL and Apache Spark pools in Azure Synapse Analytics
Knowledge Check
About this module
Use data loading best practices in Azure Synapse Analytics
Petabyte-scale ingestion with Azure Data Factory
Knowledge Check
About this module
Data integration with Azure Data Factory or Azure Synapse Pipelines
Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
Knowledge Check
About this module
Orchestrate data movement and transformation in Azure Data Factory
Knowledge Check
About this module
Secure a data warehouse in Azure Synapse Analytics
Configure and manage secrets in Azure Key Vault
Implement compliance controls for sensitive data
Knowledge Check
About this module
Unit
Configure Azure Synapse Link with Azure Cosmos DB
Query Azure Cosmos DB with Apache Spark pools
Query Azure Cosmos DB with serverless SQL pools
Knowledge Check
About this module
Enable reliable messaging for Big Data applications using Azure Event Hubs
Work with data streams by using Azure Stream Analytics
Ingest data streams with Azure Stream Analytics
Knowledge Check
About this module
Process streaming data with Azure Databricks structured streaming
Knowledge Check
Download your certificate
Course Certificate

Earn your certificate

Once you have completed this course, you will earn your certificate.

Preview digital certificate
DP-203: Data Engineering on Microsoft Azure
Enrollment is Closed

FAQs

The steps to gaining certification in Data Engineering on Microsoft Azure are as follows:

Step 1: Work with a Microsoft authorised training partner to complete the DP-203 recommended training. Microsoft has approved SkillUp Online as a training partner.

Step 2: Go to Microsoft's official website when you've finished the course. Register for the Data Engineering on Microsoft Azure test with Pearson VUE and schedule it.

Step 3: Take and pass the exam to become certified.

Candidates for the exam for DP-203: Data Engineering on Microsoft Azure should have a strong understanding of data processing languages like SQL, Python, and Scala, as well as parallel processing and data architecture patterns.

You must also be capable of integrating, transforming, and combining data from a variety of structured and unstructured data systems into a structure that can be used to construct analytics solutions.

The best method to prepare for an exam is to practise the skills that will be tested. To pass the Microsoft DP-203 certification exams, you need to get hands-on experience with Azure Data Engineering topics. However, there are related online courses and instructor-led courses that are designed to teach the skills needed to succeed in the job role, with a subset of those abilities being examined on the exam. For example - our Microsoft Certified Trainers (MCTs) will lead you through all of the modules if you sign up for SkillUp Online.

We recommend that you review the Skills Measured part of the Exam Details page to get a head start on your preparation. Compare your skills to what will be assessed in the exam. And then practice until you no longer face those difficulties.

When you register for your exam, you must pay the exam price to Microsoft. This can be done online through any payment mode (card/UPI/netbanking/ IMPS) and the fee is transferred directly to Microsoft.

To begin with, Azure data engineers assist stakeholders in gaining a better understanding of their data by allowing them to explore it.

Secondly, they utilize various tools and techniques to create and manage secure and compliant data processing pipelines.

Thirdly, they utilize Azure data services and languages for storing and producing analysis datasets.

Fourthly, they make sure that data pipelines and data stores are fast, efficient, well-organized, and dependable.