Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
19 Hour(s) 49 Minute(s)
Language
English
Taught by
Nasir Arslan
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Preparing for Azure Data Engineer Certification: DP-203 Data Engineering on Microsoft Azure Exam
This course is ideal for students aspiring to achieve the "Microsoft Certified: Azure Data Engineer Associate" certification.
It includes comprehensive content aligned with the DP-203 exam.
The course objectives focus on the following areas:
Design and implement data storage (15–20%)
Develop data processing (40–45%)
Secure, monitor, and optimize data storage and data processing (30–35%)
This Course structure organizes the course into a logical progression while providing a clear breakdown of the covered topics. Here’s is the structured outline of the course sections:
1. Introduction and Setup
Overview of the course and initial setup.
2. Design and Implement Data Storage
Azure Data Lake: Understanding and implementing data storage with Azure Data Lake.
Azure SQL Server: Designing storage solutions using Azure SQL Server.
Cosmos DB: Exploring storage capabilities with Cosmos DB.
Azure Synapse Analytics: Building and managing storage in Azure Synapse Analytics.
3. Develop Data Processing
Azure Synapse Spark Pool: Leveraging Spark pools in Azure Synapse for data processing.
Azure Data Factory: Developing ETL pipelines and data flows in Azure Data Factory.
Azure Databricks: Implementing data processing workflows with Azure Databricks.
Azure Event Hubs: Streaming and processing real-time data using Azure Event Hubs.
Azure Stream Analytics: Real-time data stream processing with SQL-based queries.
4. Secure Your Data
Azure Data Lake Security: Implementing security best practices for Azure Data Lake.
Azure Synapse Analytics Security: Securing data in Azure Synapse Analytics.
Azure Data Factory and Databricks Security: Ensuring secure data workflows in Azure Data Factory and Databricks.
4. Monitor and Optimize
Azure Data Lake Storage: Monitoring and optimizing storage performance.
Azure Data Factory: Ensuring efficient operations with monitoring tools.
Azure Synapse Analytics: Performance tuning and monitoring analytics workloads.
Azure Stream Analytics and Cosmos DB: Streamlining data streams and database operations.
Data Governance with Microsoft Purview: Managing and governing data using Microsoft Purview.
5. Exam Preparation
Past Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.
Course Content
- 20 section(s)
- 254 lecture(s)
- Section 1 Segment1-Introduction and Setup
- Section 2 Segment2-Design and implement data storage-DataLake
- Section 3 Segment3-Design and implement data storage-Azure SQL Server
- Section 4 Segment4-Design and implement data storage-CosmosDB
- Section 5 Segment5-Design and implement data storage-Azure Synapse Analytics
- Section 6 Segment6-Develop data processing-Azure Synapse Spark Pool
- Section 7 Segment7-Develop data processing-Azure Data Factory
- Section 8 Segment8-Develop data processing-Azure DataBricks
- Section 9 Segment9-Develop data processing-Azure Event Hubs
- Section 10 Segment10-Develop data processing-Stream Analytics
- Section 11 Segment11-Secure-Azure Data Lake Security Aspects
- Section 12 Segment12-Azure Synapse Analytics Security Aspects
- Section 13 Segment13-DataFactory and Databricks Security Aspects
- Section 14 Segment14-Monitor and Optimize-Data Lake Storage
- Section 15 Segment15-Monitor and Optimize-Azure Data Factory
- Section 16 Segment16-Monitor and Optimize-Synapse Analytics
- Section 17 Segment17-Monitor and Optimize-Stream Analytics, Cosmos DB
- Section 18 Segment18-Monitor and Optimize-Data Governance with Microsoft Purview
- Section 19 Segment19-Practice Papers-500 Questions
- Section 20 Segement20-Indutry level Projects
What You’ll Learn
- This course is ideal for students aspiring to achieve the "Microsoft Certified: Azure Data Engineer Associate" Dp-203 certification.
- It includes comprehensive content aligned to pass DP-203 exam.
- Students will gain hands-on experience in implementing and managing data engineering workloads using Microsoft Azure.
- The course covers key Azure services, including Azure Synapse Analytics, ADF, Azure Data Lake Storage Gen2, Azure Stream Analytics, and Azure Databricks.
- Past Papers and Practice: Access to 500 exam questions to solidify knowledge and prepare for certification.
Skills covered in this course
Reviews
-
DDev Kaushik
super
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SSURAJ BAGA
good
-
SShodeinde Muhammed Awwal
Good
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RRichmond Rockson
It's a good match, however i am yet to really understand what this course is about
