Microsoft Certified Azure Data Engineer Associate DP 203

Advance your career with Azure Data Engineering DP 203 Certification

466 Learners

Certification Aligned to

Microsoft Azure

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Certification Aligned to

Microsoft Azure

Azure Data Engineering Course Overview

This course prepares you for Microsoft’s Azure Data Engineer Associate exam DP-203. This Azure Data Engineering course offers comprehensive training on implementing and overseeing data engineering workloads on Microsoft Azure, leveraging services, including Azure Synapse Analytics, Azure Stream Analytics, Azure Databricks, and more.

Azure Data Engineering Certification Key Features

  • Microsoft Certified: Azure Data Engineer Associate - DP 203 aligned training
  • Practice labs and projects with integrated Azure labs
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Training sessions conducted by Microsoft-certified trainers
  • Access to official Microsoft handbooks aligned to the examination
  • Learn at your convenience through our live virtual training sessions
  • Microsoft Certified: Azure Data Engineer Associate - DP 203 aligned training
  • Training sessions conducted by Microsoft-certified trainers
  • Practice labs and projects with integrated Azure labs
  • Access to official Microsoft handbooks aligned to the examination
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Learn at your convenience through our live virtual training sessions
  • Microsoft Certified: Azure Data Engineer Associate - DP 203 aligned training
  • Training sessions conducted by Microsoft-certified trainers
  • Practice labs and projects with integrated Azure labs
  • Access to official Microsoft handbooks aligned to the examination
  • Official course completion badge/certificate hosted on the Microsoft Learn portal
  • Learn at your convenience through our live virtual training sessions

Skills Covered

  • Azure Data Lake
  • Azure Databricks
  • Microsoft Purview
  • Power BI
  • SQL Server
  • Azure Synapse Analytics
  • Azure Data Factory
  • Data Analysis
  • Azure Stream Analytics
  • Azure Cosmos DB
  • Azure Data Lake
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Factory
  • Microsoft Purview
  • Data Analysis
  • Power BI
  • Azure Stream Analytics
  • SQL Server
  • Azure Cosmos DB
  • Azure Data Lake
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Data Factory
  • Microsoft Purview
  • Data Analysis
  • Power BI
  • Azure Stream Analytics
  • SQL Server
  • Azure Cosmos DB

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Get lifetime access to self-paced e-learning content

Training Options

online Bootcamp

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  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
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  • Enterprise-class learning management system (LMS)
  • Enhanced reporting for individuals and teams
  • 24x7 teaching assistance and support

Azure Data Engineering Course Curriculum

Eligibility

Learners need to possess an undergraduate degree or a high school diploma. This Azure Data Engineer certification course can be taken by someone interested in Microsoft Azure DP 203 certification who understands Azure services.
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Pre-requisites

Knowledge of data processing languages like SQL, Python, and Scala is required along with an understanding of Microsoft Azure services. Parallel processing and data architecture patterns knowledge will help a learner easily navigate the course content.
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Course Content

  • Section 01: Self Paced Learning Curriculum

    Preview

    • Lesson 01: Course Introduction

      12:29Preview
      • 1.01 Welcome to DP-203 Course
        00:32
      • 1.02 Certification Overview
        01:10
      • 1.03 Skills Covered
        01:37
      • 1.04 Azure Overview
        09:10

    • Lesson 02: Design a Data Storage Structure

      20:56Preview
      • 2.01 Design an Azure Data Lake solution
        04:00
      • 2.02 Recommend file types for storage
        02:33
      • 2.03 Recommend file types for analytical queries
        01:11
      • 2.04 Design for efficient querying
        03:39
      • 2.05 Design for data pruning
        01:40
      • 2.06 Design a folder structure that represents the levels of data transformation
        02:19
      • 2.07 Design a distribution strategy
        02:34
      • 2.08 Design a data archiving solution
        03:00

    • Lesson 03: Design a Partition Strategy

      09:48
      • 3.01 Design a partition strategy for files
        03:11
      • 3.02 Design a partition strategy for efficiency and performance
        02:16
      • 3.03 Design a partition strategy for Azure Synapse Analytics
        02:32
      • 3.04 Identify when partitioning is needed in Azure Data Lake Storage Gen2
        01:49

    • Lesson 04: Design the Serving Layer

      14:26Preview
      • 4.01 Design star schemas
        01:42
      • 4.02 Design slowly changing dimensions
        01:31
      • 4.03 Design a dimensional hierarchy
        03:54
      • 4.04 Design a solution for temporal data
        01:20
      • 4.05 Design for incremental loading
        02:47
      • 4.06 Design analytical stores
        03:12

    • Lesson 05: Implement Physical Data Storage Structures

      17:25Preview
      • 5.1 Implement compression
        01:58
      • 5.2 Implement partitioning
        03:30
      • 5.3 Implement sharding
        02:31
      • 5.4 Implement data redundancy
        07:13
      • 5.5 Implement data archiving
        02:13

    • Lesson 06: Implement Logical Data Structures

      05:39Preview
      • 6.01 Build a logical folder structure
        03:32
      • 6.02 Build external tables
        02:07

    • Lesson 07: Implement the serving layer

      07:38
      • 7.01 Define the Tables and deliver data in a relational star schema
        03:11
      • 7.02 Deliver data in Parquet files
        01:25
      • 7.03 Maintain metadata
        01:47
      • 7.04 Implement a dimensional hierarchy
        01:15

    • Lesson 08: Ingest and transform data

      09:48Preview
      • 8.01 Creating Azure Data Factory v2
        02:08
      • 8.02 Create Azure Stream Analytics Job
        02:35
      • 8.03 Cleanse data
        01:42
      • 8.04 Split data
        01:38
      • 8.05 Normalize and denormalize values
        01:45

    • Lesson 09: Design and develop a stream processing and data solution

      17:19Preview
      • 9.01 Develop a stream processing solution
        03:27
      • 9.02 Configure Azure SQL Database Settings
        04:13
      • 9.03 Perform Operations on Cosmos Data
        01:12
      • 9.04 Implement Partitioning Schemes and Partition Keys
        02:56
      • 9.05 Implement Azure SQL Database Managed Instance
        03:14
      • 9.06 Configure HA for an Azure SQL Database
        02:17

    • Lesson 10: Manage batches and pipelines

      14:09Preview
      • 10.01 Use Azure Functions to Trigger batches
        04:17
      • 10.02 Handle failed batch loads
        02:24
      • 10.03 Validate batch loads
        03:25
      • 10.04 Schedule data pipelines in Data Factory
        01:36
      • 10.05 Implement version control for pipeline artifacts
        02:27

    • Lesson 11: Design security for data policies and standards

      18:03Preview
      • 11.01 Design data encryption for data at rest and in transit
        03:13
      • 11.02 Design a data auditing strategy
        01:39
      • 11.03 Design a data masking strategy
        01:50
      • 11.04 Design for data privacy
        02:03
      • 11.05 Design a data retention policy
        02:31
      • 11.06 Design to purge data based on business requirements
        02:59
      • 11.07 Design Azure role-based access control (Azure RBAC)
        02:09
      • 11.08 Design row-level and column-level security
        01:39

    • Lesson 12: Implement data security

      18:51Preview
      • 12.01 Implement data masking
        01:41
      • 12.02 Encrypt data at rest and in motion
        01:09
      • 12.03 Implement Azure RBAC
        02:18
      • 12.04 Implement POSIX-like ACL's for Data Lake Storage Gen2
        03:27
      • 12.05 Implement a data auditing strategy
        02:56
      • 12.06 Manage identities keys and secrets
        04:45
      • 12.07 Implement secure endpoints
        02:35

    • Lesson 13: Monitor data storage and data processing

      09:24Preview
      • 13.01 Implement logging used by Azure Monitor
        03:06
      • 13.02 Measure query performance
        01:22
      • 13.03 Understand custom logging options
        02:17
      • 13.04 Interpret Azure Monitor metrics and logs
        02:39

  • Section 02: Live Class Curriculum

    Preview

    • Lesson 01: Course Introduction

      • What is Azure?
      • Why Is Azure Needed?
      • What is DP203?
      • Prerequisites
      • Learners
      • Learning Path with DP203
      • Demand for DP203
      • Companies Hiring for Data Engineers
      • Course Features
      • Course Outcomes
      • Course Components

    • Lesson 02: Introduction to Azure

      • Introduction to Cloud Computing
      • Introduction to Microsoft Azure
      • Key Takeaways

    • Lesson 03: Compute and storage options for data engineering workloads

      • Introduction to Azure Storage Accounts
      • General-Purpose Storage Account
      • Blob Storage Account
      • Azure Storage Replication
      • Working with Azure SQL Database
      • Overview of Azure Data Lake Storage
      • Overview of Azure Storage Account
      • Overview of Azure Data Lake Gen2 Storage Account
      • Overview of Azure Synapse Analytics
      • Introduction to Azure Databricks
      • Overview of Delta Lake
      • Working with Azure Steam Analytics

    • Lesson 04: Working with Azure Synapse Analytics serverless SQL pools

      • Introduction to SQL Pool
      • Working with Azure Synapse Serverless SQL Pool
      • Working with Data Security and User Management in Serverless SQL Pool

    • Lesson 05: Data exploration and transformation in Azure Databricks

      • Introduction to Azure Databricks
      • Read and write data in Azure Databricks
      • Intoduction to DataFrames in Azure Databricks
      • Advanced DataFrames methods in Azure Databricks
      • Introduction to Databricks File System

    • Lesson 06:Explore, transform, and load data into the Data Warehouse using Apache Spark

      • Synapse Notebook and Data Exploration
      • Introduction to Apache Spark
      • Apache Spark in Azure Synapse Analytics

    • Lesson 07: Ingest and load data into the data warehouse

      • Loading data in Azure Synapse Analytics
      • Loading data with PolyBase and COPY using T-SQL
      • Overview of Azure Data Factory
      • Introduction to Petabyte-scale ingestion

    • Lesson 08: Data Transformation and Orchestration with Azure Data Factory or Azure Synapse Pipelines

      • Data Integration with Azure Data Factory or Azure Synapse Pipelines
      • Code-less Transformation at Scale with Azure Data Factory or Azure Synapse Pipelines
      • Overview of Data Flow Mapping
      • Overview of Data Orchestration

    • Lesson 09: End-to-end security with Azure Synapse Analytics

      • Overview of Azure Key Vault Service
      • Introduction to Encryption in Azure Data Factory
      • Overview of Customer- Managed Keys
      • Secure a data warehouse in Azure Synapse Analytics
      • Overview of Transparent Data Encryption
      • Introduction to Data Masking
      • Overview of Auditing, Data Discovery and Classification
      • Overview of Azure AD Authentication
      • Row-level and column level security
      • Role-based access control list

    • Lesson 10: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link

      • Overview of Transaction and Analytical Processing
      • Introduction to Azure Synapse Link and Cosmos DB
      • Implement Configuration of Azure Synapse Link with Cosmos DB
      • Querying Azure Cosmos DB with Apache Spark Pool
      • Querying Azure Cosmos DB with Serverless SQL Pool

    • Lesson 11: Real-time Stream Processing with Stream Analytics

      • What are Azure Event Hubs?
      • Introduction to Batch Processing
      • Introduction to real-time processing
      • Sending and receiving events
      • Enabling reliable messaging using Azure Event Hubs
      • Working with data streams using Azure Stream Analytics
      • Ingestion of data streams with Azure Stream Analytics

    • Lesson 12: Create a Stream Processing Solution with Event Hubs and Azure Databricks

      • Introduction to structured and unstructured streaming
      • Processing structure data streaming with Azure Databricks

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Azure Data Engineering Exam & Certification

Microsoft Azure Data Engineer Associate Certificate

  • What benefits do learners receive through Simplilearn’s collaboration with Microsoft Azure?

    Upon completing the Microsoft Azure courses at Simplilearn, learners will gain the following advantages:

    • They'll earn an official course completion badge/certificate available on the Microsoft Learn portal.

    • Access to official Microsoft handbooks aligned to the examination

  • What is required to earn the Microsoft Azure Data Engineer certification?

    To earn the Microsoft Azure Data Engineer certification, you must pass the following exam:

    Microsoft Certified Azure Data Engineer Associate DP 203

  • Is this course accredited?

    Yes, Simplilearn is a Silver Microsoft Partner, and Microsoft accredits the course.

  • Is the exam fee included in the course fee?

    • No, the exam fee is not included in the course fee.

  • Do you provide assistance for the exam application process?

    Our Help and Support team can assist you with the exam application process.
     

  • How can I pass the Microsoft Certified Azure Data Engineer Associate DP 203 exam on my first attempt?

    This DP-203 training course is designed to give you all the skill sets necessary to complete the required projects and help you pass the Developing Solutions for Microsoft Certified Azure Data Engineer Associate DP 203 on your first attempt. Please note that this course does not guarantee you will pass on your first attempt, but you will be armed with all the knowledge to do so.

  • What are the Azure Data Engineer Associate course objectives?

    The Azure Data Engineer Associate course will prepare you for Microsoft’s Azure Data Engineer Associate: DP 203. It also  offers comprehensive training 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

  • What skills will you learn?

    This course will prepare you for Microsoft’s Azure Data Engineer Associate: DP 203. It also  offers comprehensive training 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 should take this Azure Data Engineer Associate certification course?

    The online Microsoft Certified: Azure Data Engineer Associate course is ideal for experienced professionals who wish to develop Azure skills in the data engineering domain. Learners should be familiar with Azure cloud solutions. These roles include, but are not limited to:

    • Azure Developers

    • Cloud Solution Architects

    • Software Developers

    • Application Engineers

    • Technical Team Leads

    • Data Engineers

    • Data Architects

    • Cloud Solution Architects

  • What are the prerequisites for this Azure Data Engineer Associate certification course?

    • Knowledge of data processing languages like SQL, Python, and Scala

    • Understanding of Microsoft Azure services

    • Parallel processing and data architecture patterns knowledge

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Azure Data Engineering FAQs

  • Who are the trainers for this Azure Data Engineer Associate training program?

    All trainers are Microsoft Certified (MCTs) and highly qualified, with over 15 years of experience in training and working in the domain.

  • How do I get access to the Azure platform?

    You may get access to an Azure free trial by visiting: https://azure.microsoft.com/en-in/free/

  • What is covered under the 24/7 support promise?

    We offer 24/7 support through email, chat, and calls. Our dedicated team also provides on-demand assistance through our community forum. Moreover, you will have lifetime access to the community forum even after completing your Azure Data Engineer Associate certification course with us.

  • What is Global Teaching Assistance?

    Our teaching assistants help you get certified on your first attempt. They are a dedicated team of subject matter experts who help you at every step and enrich your learning experience, from class onboarding to project mentoring and job assistance. They engage with the students proactively to ensure the course path is followed. Teaching Assistance is available during business hours.

  • How do I register for this online training course on Simplilearn?

    • You can enroll in this online Azure Developer training on our website and make an online payment using any of the following options: 

      • Visa Credit or Debit Card

      • MasterCard

      • American Express

      • Diner’s Club

      • PayPal 

    Once payment is received, you will automatically receive a payment receipt and access information via email.

  • What is online classroom training?

    All of the classes are conducted via live online streaming. They are interactive sessions that enable you to ask questions and participate in discussions during class time.

  • What certification will I receive after completing the Azure Data Engineer training?

    • After completing the Azure Data Engineer Course, you will be awarded the course completion certificate from Simplilearn.

    • Get an official course completion badge/certificate hosted on the Microsoft Learn portal.

  • If I need to cancel my enrollment, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • How can I learn more about this Azure Data Engineer Associate training program?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chatbot. Our customer service representatives can provide you with more details.

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.