Microsoft On-Demand: Data Engineering on Microsoft Azure (DP-203) Course Outline
*** Note: This is a Microsoft On-Demand (self -study) course, 180-day 24/7 access via the internet ***
(Applicable State and Local taxes may be added for On-Demand purchases, depending on your location.)
About This Course
We have assembled a complete package of self-study materials that cover all of the topics that are included in Microsoft's official Instructor-led course. With these resources, you have a flexible platform that allows you to gain the knowledge you need for your job. If you also want certification, see the additional Exam Pak option--you can purchase that for $250, a 50% discount.
Audience profile
The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure. This course is also valuable for data architects and application developers who need to understand what technologies are available for the data platform with Azure and how to work with those technologies through applications.
Your course includes:
Microsoft Official E-Learning
We will be your guide through the official Microsoft Learn content directing you through this training platform which provides interactive learning modules with reading, hands-on experiences, knowledge checks and short videos.
Additional Expert Videos
Our subject matter experts provide an additional path through the Microsoft course objectives. We've assembled hours of video instruction where you can follow-along and learn from our experts.
Auditing Instructor-Led Training
With ONLC's Microsoft On-Demand training, you can also "Audit" a full instructor-led class. This gives you another perspective on how the content is presented (You must contact our office to reserve a seat in an upcoming class). Note: Auditors will be able to see and hear the instructors presentation, however the instructor will not be able to hear you and you will not have direct access to the live instructor or lab machines.
Interested in Getting Certification? Check out our Exam Pak option!
Prepare for you Microsoft Certification by purchasing our Exam Pak for $250--a savings of 50%.
Additional Exam Pak Option includes:
24/7 Online Support
Need assistance while you are learning? Chat with our 24/7 online support specialists. And, with your permission, the expert can even take over your computer to provide assistance. (90-day access.)
Microsoft Exam Reference Guide
When you are ready for certification, begin your preparation with the Exam Reference Guide from Microsoft Press. We provide you with a copy of this book that focuses on the critical skills and knowledge measured on the Microsoft Certification exam.
Practice Exam Software
You may study at your own pace with this web-based practice exam. Exam-like questions are designed to help you prepare for your certification exam by validating your knowledge and reinforcing key concepts.
Exam Voucher with Exam-Pass Guarantee
Prepare for your exam using the practice software. Once you have achieved an 85% or above score, contact us and we will provide you with an exam voucher. Didn't pass the first time? Not a problem--you will get a second voucher with our Exam-Pass Guarantee - For details, click on the link below:
Exam Pass Guarantee
**Please call our office to order the Exam Pak. Note: Exam Paks are available at the discounted $250 price only when they are purchased at the same time as your Microsoft On-Demand class.**
Do You Still Prefer a Live, Instructor-led Class?
Already know Microsoft On-Demand, self-study training is not right for you? We also offer this course content in a live, instructor-led format. For details, click on the link below:
DP-300: Administering Relational Databases on Microsoft Azure
Special Note Regarding This Outline
On-Demand content is presented from multiple sources. As a result, the content and/or sequencing may vary from each source.
Course Outline
Module 1: Azure for the Data Engineer
Understanding the evolving world of data
Survey the services on the Azure Data platform
Identify the tasks of a data engineer in a cloud-hosted architecture
Module 2: Store data in Azure
Choose a data storage approach in Azure
Create an Azure Storage account
Create an Azure Storage account
Connect an app to Azure Storage
Secure your Azure Storage account
Store application data with Azure Blob storage
Module 3: Data integration at scale with Azure Data Factory or Azure Synapse Pipeline
Integrate data with Azure Data Factory or Azure Synapse Pipeline
Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipeline
Perform code-free transformation at scale with Azure Data Factory or Azure Synapse Pipeline
Populate slowly changing dimensions in Azure Synapse Analytics pipelines
Orchestrate data movement and transformation in Azure Data Factory or Azure Synapse Pipeline
Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline
Operationalize your Azure Data Factory or Azure Synapse Pipeline
Module 4: Realize Integrated Analytical Solutions with Azure Synapse Analytics
Introduction to Azure Synapse Analytics
Survey the Components of Azure Synapse Analytics
Explore Azure Synapse Studio
Design a Modern Data Warehouse using Azure Synapse Analytics
Module 5: Work with Data Warehouses using Azure Synapse Analytics
Design a Modern Data Warehouse using Azure Synapse Analytics
Design a multidimensional schema to optimize analytical workloads
Use data loading best practices in Azure Synapse Analytics
Optimize data warehouse query performance in Azure Synapse Analytics
Integrate SQL and Apache Spark pools in Azure Synapse Analytics
Understand data warehouse developer features of Azure Synapse Analytics
Manage and monitor data warehouse activities in Azure Synapse Analytics
Analyze and optimize data warehouse storage in Azure Synapse Analytics
Secure a data warehouse in Azure Synapse Analytics
Module 6:Perform data engineering with Azure Synapse Apache Spark Pools
Understand big data engineering with Apache Spark in Azure Synapse
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
Monitor and manage data engineering workloads with Apache Spark in Azure Synapse Analytics
Module 7: Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics
Design hybrid transactional and analytical processing using Azure Synapse Analytics
Configure Azure Synapse Link with Azure Cosmos DB
Query Azure Cosmos BD with Apache Spark for Azure Synapse Analytics
Query Azure Cosmos DB with SQL Serverless for Azure Synapse Analytics
Module 8: Data engineering with Azure Databricks
Describe Azure Databricks
Spark architecture fundamentals
Read and write data in Azure Databricks
Work with DataFrames in Azure Databricks
Describe lazy evaluation and other performance features in Azure Databricks
Work with DataFrames columns in Azure Databricks
Work with DataFrames advanced methods in Azure Databricks
Describe platform architecture, security, and data protection in Azure Databricks
Build and query a Delta Lake
Process streaming data with Azure Databricks structured streaming
Describe Azure Databricks Delta Lake architecture
Create production workloads on Azure Databricks with Azure Data Factory
Implement CI/CD with Azure DevOps
Integrate Azure Databricks with Azure Synapse
Describe Azure Databricks best practices
Module 9: Large-Scale Data Processing with Azure Data lake Storage Gen2
Introduction to Azure Data Lake storage
Upload data to Azure Data lake Storage
Secure your Azure Storage account
Module 10: Implement a Data Streaming Solution with Azure Streaming Analytics
Work with data streams by using Azure Stream Analytics
Enable reliable messaging for Big Data applications using Azure Event Hubs
Ingest data streams with Azure Stream Analytics
View outline in Word
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