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Microsoft Azure Data Engineering Certification Course (DP-203)
Microsoft Azure Data Engineering Certification Course (DP-203)
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Why enroll for DP 203: Data Engineering on Microsoft Azure?
Azure Data Engineering Training Benefits
The world of data has evolved, and the advent of cloud technologies is providing new opportunities for businesses to explore. Azure data engineering is one of the most in-demand and rapidly expanding technologies in the marketplace right now. According to Microsoft, 95% of Fortune 500 firms use Azure cloud services, leading to an increasing demand for Microsoft-certified experts who can leverage Azure and manage massive volumes of data. The best way to secure a good job with a handsome salary in this domain is to obtain an Azure Data Engineer Certification.
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Why DP 203: Data Engineering on Microsoft Azure from edureka
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Lifetime Access
- Course Access Never Expires
- Free Access to Future Updates
- Unlimited Access to Course Content
24x7 Support
- One-On-One Learning Assistance
- Help Desk Support
- Resolve Doubts in Real-time
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your DP 203: Data Engineering on Microsoft Azure
Azure Data Engineering Skills
Tools Covered
Azure Data Engineer Certification Course Curriculum
Curriculum Designed by Experts
Introduction to Microsoft Azure and its Services
7 Topics
Topics:
- Azure Subscriptions
- Azure Resources
- Azure Free Tier Account
- Azure Resource Manager
- Azure Resource Manager Template
- Azure Storage
- Types of Azure Storage
![skill]( "Hands On Experience")
- Create a free tier Azure account
- Create a web app service using Azure Portal
- Create and Deploy ARM templates
- Manage Azure Storage account
- Manage Azure Cost and Billing
![skill]( "skill you will learn")
- Creating ARM templates
- Accessing Azure Storage Service
- Azure Cost and Billing Services
Introduction To Azure Data Engineering
14 Topics
Topics:
- Understand the evolving world of data
- Data abundance
- Understanding the Data Engineering Problem
- Understand job responsibilities
- Understanding Data Engineering Processing - Extract Transform and Load
- Overview of Azure Data Engineering Services
- Understand data storage in Azure Storage
- Understand data storage in Azure Data Lake Storage
- Understand Azure Cosmos DB
- Understand Azure SQL Database
- Understand Azure Synapse Analytics
- Understand Azure Stream Analytics
- Understand Azure HDInsight
- Understand other Azure data services
![skill]( "Hands On Experience")
- Navigating through Azure data engineering services
![skill]( "skill you will learn")
- Analyzing Data Engineering Process
- Understanding Azure Services
Storing Data in Azure
13 Topics
Topics:
- How to choose an Azure Storage Service in Azure
- Create an Azure Storage Account
- Connect an app to Azure Storage API
- Connect to your Azure storage account
- Explore Azure Storage security features
- Understand storage account keys
- Understand shared access signatures
- Control network access to your storage account
- Understand Advanced Threat Protection for Azure Storage
- Explore Azure Data Lake Storage security features
- Introduction to Blob storage
- What are blobs?
- Design a storage organization strategy
![skill]( "Hands On Experience")
- Add the storage client library to your app
- Add Azure Storage configuration to your app
- Connect your application to your Azure Storage account
- Create Azure storage resources
- Configure and initialize the client library
- Get blob references
- Blob uploads and downloads
![skill]( "skill you will learn")
- Working with Azure Storage
- Configuring Security in Azure Storage
- Storing blob data in Azure Storage
Azure Data Factory - I
15 Topics
Topics:
- Integrate data with Azure Data Factory or Azure Synapse Pipeline
- Understand Azure Data Factory
- Describe data integration patterns
- Explain the data factory process
- Understand Azure Data Factory components
- Azure Data Factory security
- Set-up Azure Data Factory
- Create linked services
- Create datasets
- Create data factory activities and pipelines
- Manage integration runtimes
- Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
- List the data factory ingestion methods
- Describe data factory connectors
- Understand data ingestion security considerations
![skill]( "Hands On Experience")
- Use the data factory copy activity
- Manage the self hosted integration runtime
- Setup the Azure integration runtime
![skill]( "skill you will learn")
- Working with Azure Data Factory
- Integrating Azure Data Factory
- Azure Data Factory security
- Implementing Data Factory connectors
Azure Data Factory - II
22 Topics
Topics:
- Explain Data Factory transformation methods
- Describe Data Factory transformation types
- Debug mapping data flow
- Describe slowly changing dimensions
- Choose between slowly changing dimension types
- Understand data factory control flow
- Work with data factory pipelines
- Debug data factory pipelines
- Add parameters to data factory components
- Execute data factory packages
- Describe SQL Server Integration Services
- Understand the Azure-SIS integration runtime
- Set-up Azure-SIS integration runtime
- Run SSIS packages in Azure Data Factory
- Migrate SSIS packages to Azure Data Factory
- Configure a git repository with a development factory
- Create and merge a feature branch
- Deploy a release pipeline
- Visually monitor pipeline runs
- Integrate with Azure Monitor
- Set up alerts
- Rerun pipeline runs
![skill]( "Hands On Experience")
- Author an Azure Data Factory mapping data flow
- Use Data Factory wrangling data
- Use compute transformations within Data Factory
- Integrate SQL Server Integration Services packages within Data Factory
- Design and implement a Type 1 slowly changing dimension with mapping data flows
- Integrate a Notebook within Azure Synapse Pipelines
![skill]( "skill you will learn")
- Implementing Data Factory transformations
- Implementing slowly changing dimensions
- Working with SQL server integration
- Configuring a git repository
- Integrating Azure monitor and set up alerts
Azure Synapse Analytics - I
10 Topics
Topics:
- What is Azure Synapse Analytics
- How Azure Synapse Analytics works
- When to use Azure Synapse Analytics
- Create Azure Synapse Analytics workspace
- Describe Azure Synapse Analytics SQL
- Explain Apache Spark in Azure Synapse Analytics
- Orchestrate data integration with Azure Synapse pipelines
- Visualize your analytics with Power BI
- Understand hybrid transactional analytical processing with Azure Synapse Link
- Use Azure Synapse Studio
![skill]( "Hands On Experience")
- Explore Azure Synapse Analytics
- Create pools in Azure Synapse Analytics
- Identifying Azure Synapse pipeline components
![skill]( "skill you will learn")
- Working with Azure Synapse Analytics
- Managing Azure Synapse Analytics workspace
- Querying data and Visualizing analytics
- Working with Azure Synapse pipeline components
Azure Synapse Analytics - II
6 Topics
Topics:
- Understand the Azure Synapse Analytical processes
- Explore the Data hub
- Explore the Develop hub
- Explore the Integrate hub
- Explore the Monitor hub
- Explore the Manage hub
![skill]( "Hands On Experience")
- Create a new data flow or dataset, and manage the file
- Use the Monitor hub to view pipeline and trigger runs, view the status of the various integration runtimes
![skill]( "skill you will learn")
- Designing the new data flow or dataset
- Working with various types of hubs
Data Warehouses using Azure Synapse Analytics - I
7 Topics
Topics:
- Describe a modern data warehouse
- Define a modern data warehouse architecture
- Exercise - Identify modern data warehouse architecture components
- Design ingestion patterns for a modern data warehouse
- Understand data storage for a modern data warehouse
- Understand file formats and structure for a modern data warehouse
- Prepare and transform data with Azure Synapse Analytics
![skill]( "Hands On Experience")
- Serve data for analysis with Azure Synapse Analytics
- Design a data warehouse schema
- Create data warehouse tables
- Load data warehouse tables
- Query a data warehouse
![skill]( "skill you will learn")
- Designing a Modern Data Warehouse Architecture
- Building a Data Warehouse
- Working with different file formats
- Preparing and transforming data
Data Warehouses using Azure Synapse Analytics - II
8 Topics
Topics:
- Understand data load design goals
- Explain load methods into Azure Synapse Analytics
- Manage source data files
- Manage singleton updates
- Set-up dedicated data load accounts
- Implement workload management
- Simplify ingestion with the Copy Activity
- Understand performance issues related to tables
![skill]( "Hands On Experience")
- Data Loading in Azure Synapse Analytics
- Data Ingestion using Copy Activity
- Implement workload management
- Understand performance issues related to tables
![skill]( "skill you will learn")
- Loading data using Azure Synapse Analytics
- Implementing workload management
Optimizing Data Queries in Azure
14 Topics
Topics:
- Understand table distribution design
- Use indexes to improve query performance
- Understand query plans
- Create statistics to improve query performance
- Improve query performance with materialized views
- Use read committed snapshot for data consistency
- How does statistics affect a query plan?
- Describe the integration methods between SQL and spark pools in Azure Synapse Analytics
- Understand the use-cases for SQL and spark pools integration
- Exercise: Integrate SQL and spark pools in Azure Synapse Analytics
- Externalize the use of spark pools within Azure Synapse Workspace
- Transfer data outside the synapse workspace using the PySpark connector
- Explore the development tools for Azure Synapse Analytics
- Understand transact-SQL language capabilities for Azure Synapse Analytics
![skill]( "Hands On Experience")
- Use table distribution and indexes to improve performance
- Optimize common queries with result-set caching
- Work with windowing functions
- Work with approximate execution
- Work with JSON data in SQL pools
- Encapsulate transact-SQL logic with stored procedures
- Authenticate in Azure Synapse Analytics
- Transfer data between SQL and spark pool in Azure Synapse Analytics
- Authenticate between spark and SQL pool in Azure Synapse Analytics
![skill]( "skill you will learn")
- Optimizing data queries in Azure
- Authenticating in Azure Synapse Analytics
- Working with SQL and Spark pool
Managing Workloads in Azure Synapse Analytics
12 Topics
Topics:
- Scale compute resources in Azure Synapse Analytics
- Pause compute in Azure Synapse Analytics
- Manage workloads in Azure Synapse Analytics
- Use Azure Advisor to review recommendations
- Use dynamic management views to identify and troubleshoot query performance
- Understand skewed data and space usage
- Understand network security options for Azure Synapse Analytics
- Configure Conditional Access
- Configure authentication
- Manage authorization through column and row level security
- Manage sensitive data with Dynamic Data Masking
- Implement encryption in Azure Synapse Analytics
![skill]( "Hands On Experience")
- Manage authorization through column and row level security
![skill]( "skill you will learn")
- Managing workloads in Azure Synapse Analytics
- Authentication and authorization in Azure Synapse Analytics
- Implementing encryption in Azure Synapse Analytics
Deep Dive into Azure Databricks
19 Topics
Topics:
- Get started with Azure Databricks
- Identify Azure Databricks workloads
- Understand key concepts
- Use Apache Spark in Azure Databricks
- Create a Spark cluster
- Use Spark in notebooks
- Use Spark to work with data files
- Visualize data
- Get Started with Delta Lake
- Create Delta Lake tables
- Create and query catalog tables
- Use Delta Lake for streaming data
- Get started with SQL Warehouses
- Create databases and tables
- Create queries and dashboards
- Understand Azure Databricks notebooks and pipelines
- Create a linked service for Azure Databricks
- Use a Notebook activity in a pipeline
- Use parameters in a notebook
![skill]( "Hands On Experience")
- Explore Azure Databricks
- Run an Azure Databricks Notebook with Azure Data Factory
- Use a SQL Warehouse in Azure Databricks
- Use Delta Lake in Azure Databricks
- Use Spark in Azure Databricks
![skill]( "skill you will learn")
- Working with Azure Databricks
- Running interactive and scheduled data analysis workloads
Capstone Project
3 Topics
Topics:
- In this project, you will design a secure, analytical, data ingestion, scalable, build and deploy data pipeline solution which you have learned as a part of this certification course
- Documentation and presentation: Develop detailed documentation outlining the design and implementation of the Azure data solution, and effectively present the solution and its outcomes to business
- Design and implement an Azure Data Solution
Integrating Azure Data Solutions with Other Services (Self-paced)
4 Topics
Topics:
- Integrating Azure Data Solutions with Azure Synapse Analytics
- Integrating Azure Data Solutions with Power BI
- Integrating Azure Data Solutions with Azure Logic Apps
- Best Practices for Integrating Azure Data Solutions with Other Services
![skill]( "Hands On Experience")
- Working with the Azure Data Solutions with Azure Synapse Analytics
- Build and deploy Azure Data Solutions with Power BI
![skill]( "skill you will learn")
- Using Azure Data Solutions with Power BI
- Designing the Azure Data Solutions
- Best practices for integrating Azure Data Solutions
Security and Compliance (Self-paced)
4 Topics
Topics:
- Overview of Azure Security Features
- Implementing Security for Azure Data Storage Solutions
- Implementing Security for Azure Data Processing Solutions
- Best Practices for Securing Data Solutions in Azure
![skill]( "Hands On Experience")
- To demonstrate the practical implementation of security and compliance measures in Azure data engineering to safeguard the organization's data
- To demonstrate the practical implementation of compliance measures in Azure data engineering to ensure adherence to regulatory requirements
![skill]( "skill you will learn")
- Securing the Azure Data Storage Solutions
- Implementing Security for Data Processing Solutions
Monitoring and Optimizing Data Solutions (Self-paced)
4 Topics
Topics:
- Monitoring and Alerting Strategies for Azure Data Solutions
- Optimizing Data Processing Solutions for Performance and Cost
- Using Azure Monitor to Monitor Data Solutions
- Best Practices for Monitoring and Optimizing Azure Data Solutions
![skill]( "Hands On Experience")
- To demonstrate the practical implementation of monitoring measures in Azure data engineering solutions to ensure efficient system operation
- Implementation of optimization measures in Azure data engineering solutions to ensure better system performance, reduce costs, and increase productivity
![skill]( "skill you will learn")
- Enhancing Data for Performance and Cost
- Setting up the Azure Monitor
Industrial Case Studies (Self-paced)
3 Topics
Topics:
- Case Studies on Implementing Azure Data Solutions
- Emerging Trends and Technologies in Azure Data Engineering
- Best Practices for Keeping Up with Industry Trends in Azure Data Engineering
![skill]( "Hands On Experience")
- Case Studies on Mitsubishi Heavy Industries (MHI) Group
- Case Studies on Bayer AG
- Case Studies on fischer
- Case Studies on New York City Department of Education
- Case Studies on Amadeus
Scenario Based Exam Dumps
1 Topics
Topics:
- Scenario Based Dumps Set -1,2,3,4,5,6,7
DP-203 Certification: Practice Exam
2 Topics
Topics:
- Practise Exam Set 1,2,3
- 3 practise exams with a minimum passing score of 700 will allow you to gauge your level of preparation
Azure Data Engineering Interview Preparation
1 Topics
Topics:
- Interview preparation material to assist you in getting ready for the upcoming interviews
Reference Material
2 Topics
Topics:
- Whitepapers
- Reference Documents
Bonus Content
2 Topics
- Additional Resources (Part 1)
- Additional Resources (Part 2)
Free Career Counselling
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Azure Data Engineer Certification Course Details
About Course
Edureka's Microsoft Ceriffied Azure Data Engineer Associate is the optimal choice for learners aiming to design, implement, monitor, and optimize high-performing and reliable data pipelines and data stores on the Microsoft Azure platform. With experienced instructors, real-world case studies, and flexible learning options.The key features of this course include:
- Comprehensive coverage of key topics such as- Azure Cosmo DB, Azure Synapse, Azure Databricks, Azure Stream Analytics, Azure HDInsight, and Azure Data Factory.
- Assignments and quizzes for each module
- Practice projects to hone your skills
- 7+ exam dumps containing 100 scenario based exam questions each to help you prepare for the certification exam
- 3 simulation exams to let you assess your preparation
- Certification guide for DP:203
- Interview preparation material to help you prepare for the interviews
- Bonus and additional content for further knowledge enhancement
- 3 capstone projects to bolster your resume
What are the prerequisites for this Azure Data Engineer Associate certification course?
You donโt need to possess any predefined skills or expertise to enroll in this course. However, any prior knowledge of Linux, Python, SQL, and Scala would be beneficial.
Is this Azure Data Engineer Associate course accredited?
Yes, Edureka is a Microsoft Partner and Microsoft accredits the course.
What are the objectives of this Course?
Our Certification Training course is designed according to industry standards and helps learners design, implement, and maintain secure and compliant data processing pipelines using Azure data services and frameworks. The DP-203 Exam evaluates candidates proficiency in integrating, transforming, and consolidating data from various sources.
What are the skills required for an Azure Data Engineer?
As a Certified Azure Data Engineer, several skills are essential for success. Here are some of the most important skills you will need:
- Data modelling and database design
- SQL and other query languages
- Data integration and ETL Tools
- Data analysis and visualization
- Cloud Platform Skills
- Programming languages such as Python and Java.
- Data Pipeline Development
Who should take this Azure Data Engineer Associate certification course?
Anyone with a zeal to learn and who wants to become a Data Engineer or Data Architect can join this training.
What are the system requirements for this Training?
You need a basic configuration with a minimum of 4GB RAM and i3 processor, with a good internet connection.
How will I execute practicals in this Azure Data Engineer Training?
You will be using an Azure Free Tier Account to execute the practicals. The detailed, step-by-step installation guides are available on the LMS. Edureka's 24*7 technical support team is always available to promptly assist you with your queries.
How do I register for this online training course on Edureka?
You can enroll in this online training on our website and make an online payment using any of the following options:
- Visa Credit or Debit Card
- MasterCard
- American Express
- PayPal
What skills will you learn from this course?
You will learn on implementing and overseeing data engineering workloads on Microsoft Azure, leveraging key Azure services, including Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and more
Who are the trainers?
All trainers are industry experts, Microsoft Certified, and have over 12 years of experience in training and working in the domain.
Azure Data Engineer Projects
Data-Driven Decision-Making to Optimize Online Retail Customer Experience and Increase Sales
The retail company recognizes the importance of online sales and the customer experience in today's digital age. To stay competitive, they understand that they need to use data-d....Enhancing Data Processing and Analysis Capabilities for Advertising Analytics Company
An advertisement analytics company is looking to improve their data processing and analysis capabilities. They receive large amounts of data on a daily basis from various sour....
Developing a Real-Time Predictive Maintenance Solution for Industrial Equipment Using Machine Learning
An AI analytics company is developing a predictive maintenance solution for industrial equipment, using machine learning to predict equipment failures and schedule maintenance....
DP 203 Certification Exam
It certifies an individual's expertise in designing and implementing big data analytics solutions using Azure Data Services.. The DP-203 certification validates a candidate's skills and knowledge in designing and implementing data solutions using Azure Data Services.
The Azure Data Engineer Associate exam is a certification offered by Microsoft that measures a candidate's proficiency in various areas of data engineering on Azure. This includes designing and implementing Azure data storage solutions, data integration and transformation solutions, data processing solutions, as well as data security and compliance solutions.
No,the course fee does not include the exam fee.
This is an online exam and the cost for the exam is $165 USD ( Price based on the country or region in which the exam is proctored).
The Duration of DP-203 Exam is 120 mins (2 hours).
The DP 203 Certification Exam is available in the following languages: English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Portuguese (Brazil), Arabic (Saudi Arabia), Russian, Chinese (Traditional), Italian, and Indonesian (Indonesia).
This Certificate will be awarded by Microsoft to professionals who can demonstrate their expertise and knowledge by successfully passing the DP-203 exam.
The certification has one-year validity and no prior certification is required.
Reach out at Call +91 81474 02266, and our team will assist you with the exam application process.
The Microsoft Azure Data Engineer Associate (DP-203) certification is valid for one year. To extend the certification, you must pass a renewal assessment.
You will receive a course completion certificate from Edureka if you pass the exam. Additionally, you will get an official course completion badge/certificate hosted on the Microsoft Learn portal if you pass the DP-203 exam.
To unlock Edurekaโs Azure Data Engineer Training completion certificate, you must ensure the following:
- Completely participate in this DP 203 Course.
- Evaluation and completion of the quizzes and projects listed.
John Doe
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The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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Microsoft Azure Data Engineer Training FAQs
What is Edureka's refund policy regarding the course if I am not satisfied with the course content?
Typically, Edureka allows learners to request a refund within a specified period if they are not satisfied with the course content. Your satisfaction with the course is our priority.
How long is Edurekaโs Azure Data Engineering Associate course?
The duration of the Azure Data Engineering Associate course may vary based on the specific training program and schedule you choose during the signup process. You can opt for weekend classes, typically spanning 6.5 weeks. Alternatively, you have the option to choose weekday classes from Monday to Friday, with a usual duration of 18 to 20 days.
What financial options are available for learners interested in the Azure Data Engineer course?
Edureka offers various financial options for learners, including installment payment plans, no-cost EMI options, or discounts on course fees. These flexible financial options make it convenient for learners to invest in their Azure data engineering training.
Is there any discount available for learners interested in the DP 203 Course?
Discounts and promotional offers are available for learners interested in the (DP-203) course. You can visit our pricing section to avail our current promotional offers or reach out to our 24x7 customer service at +91-8147402266. Edureka frequently provides opportunities for cost savings to benefit learners.
What are the criteria for admission to be a candidate for this Azure Data Engineer course?
There is no requirement for eligibility to enroll in our Azure Data Engineering course. Anyone interested in learning about the art of Azure data engineering can join our training course program and begin their journey. But, having a basic understanding of data structures and algorithms, SQL, Programming knowledge of Python and Java, Cloud platforms, distributed systems, and Data pipelines are helpful.
Do you have samples of Azure Data Engineering Interview Questions?
Please visit the page which will guide you through the Top Azure Data Engineering Interview Questions and Answers.
Can I download the DP 203 Certification course syllabus in PDF format?
Yes, you can download the full Course content from the curriculum section.
What career options can I look forward to with my Azure Data Engineering skills?
You could be qualified for jobs such as Azure data engineer, data warehouse manager, database administrator, business intelligence analyst, and even data architect.Start by registering for the Azure Data Engineering certification course.
What is the price of course with certification?
Our course price is INR 19,995/- including certification exam fees in India.The Price is based on the country or region in which the exam is proctored.
Does Edureka have corporate training solutions?
Yes, we offer corporate training solutions.
Will missing a live class impact my progress in the course?
If you miss a live class, it won't affect your ability to complete the course. You can watch the recorded session of any missed class at your convenience.
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