Program Highlights
The DP-203T00: Data Engineering on Microsoft Azure training is an in-depth program that aims to provide participants with the skills necessary to manage and implement data engineering tasks on Microsoft Azure. The course covers a range of Azure services, such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, and Azure Databricks.
32-hours of Instructor-led Training 
Hands-on Labs 
Highly Interactive and Dynamic Sessions 
Learn with Real-World Scenarios 
Learn from Industry Experts 
Career Guidance and Mentorship 
Extended Post Training Support 
Access to Recorded Sessions
Learning Schedule
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The DP-203T00: Data Engineering on Microsoft Azure training course offered by InfosecTrain is meticulously designed to equip participants with the expertise needed to design and implement data engineering solutions on Azure. This comprehensive course covers essential data engineering tasks, including orchestrating data transfer and transformation pipelines, managing data files in a data lake, creating and populating relational data warehouses, capturing and aggregating real-time data streams, and tracking data assets and lineage.
Participants will engage in practical labs to reinforce their theoretical knowledge, including querying data with serverless SQL pools and performing data engineering using Azure Synapse Apache Spark Pools. They will also implement real-time analytics with Azure Stream Analytics. This hands-on approach ensures that participants gain the practical experience necessary to excel in real-world data engineering roles on Azure.
Module 1:
Introduction to Data Engineering on Azure
Module 2:
Introduction to Azure Data Lake Storage Gen2
Module 3:
Introduction to Azure Synapse Analytics
Module 4:
Use Azure Synapse Serverless SQL Pool to Query Files in a Data Lake
Module 5:
Use Azure Synapse Serverless SQL Pools to Transform Data in a Data Lake
Module 6:
Create a Lake Database in Azure Synapse Analytics
Module 7:
Analyze Data with Apache Spark in Azure Synapse Analytics
Module 8:
Transform Data with Spark in Azure Synapse Analytics
Module 9:
Use Delta Lake in Azure Synapse Analytics
Module 10:
Analyze Data in a Relational Data Warehouse
Module 11:
Load Data into a Relational Data Warehouse
Module 12:
Build a Data Pipeline in Azure Synapse Analytics
Module 13:
Use Spark Notebooks in an Azure Synapse Pipeline
Module 14:
Plan Hybrid Transactional and Analytical Processing using Azure Synapse Analytics
Module 15:
Implement Azure Synapse Link with Azure Cosmos DB
Module 16:
Implement Azure Synapse Link for SQL
Module 17:
Get started with Azure Stream Analytics
Module 18:
Ingest Streaming Data using Azure Stream Analytics and Azure Synapse Analytics
Module 19:
Visualize Real-time Data with Azure Stream Analytics and Power BI Introduction to Microsoft Purview
Module 20:
Integrate Microsoft Purview and Azure Synapse Analytics
Module 21:
Explore Azure Databricks
Module 22:
Use Apache Spark in Azure Databricks
Module 23:
Run Azure Databricks Notebooks with Azure Data Factory
- Data Professionals
- Data Architects
- Business Intelligence Professionals
- Data Analysts
- Data Scientists
- Proficiency in data processing languages such as SQL, Python, or Scala
- Understanding of parallel processing and data architecture patterns
- Understand the fundamentals of data engineering on Azure.
- Learn to manage and utilize Azure Data Lake Storage Gen2.
- Implement data transformations in Azure Data Lake using serverless SQL pools.
- Perform data transformations using Spark in Azure Synapse
- Learn techniques for loading data into relational data warehouses.
- Integrate Azure Synapse Link with Azure Cosmos DB.
- Implement streaming data ingestion using Azure Stream Analytics and Synapse.
- Create real-time data visualizations with Stream Analytics and Power BI.
- Perform data analysis and transformations using Apache Spark in Databricks.
- Execute Databricks notebooks using Azure Data Factory for data integration tasks.
How We Help You Succeed
Vision
Goal
Skill-Building
Mentoring
Direction
Support
Success
Career Transformation
Projected increase in roles related to data engineering
Organizations adopting Azure data engineering solutions
of Organizations: Plan to hire professionals certified in Azure Data Engineering.
of Organizations: Committed to training existing staff on Azure data engineering services and solutions.
Technology
Healthcare
Retail
Government
Manufacturing
Finance
Words Have Power
The training was awesome. Helped me clear my concepts and also reduced my preparation time to 1/3rd. Thank you, trainer, for all your dedication to bring your gladiators to pace.
I loved the training. Coming for more soon. The trainer is easily reachable and helpful.. I loved the staggered payment option given.
I must say the admin team is excellent and punctual. The trainers are actually the nerve of the team and know how to engage with the students across all the topics.
Thoroughly enjoyed the course and the continuous support from the entire team..
It was a good experience. Looking forward to career growth with Infosectrain. Thank you
Really interesting courses are delivered by really knowledgeable instructors. Worth the fees
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Frequently Asked Questions
What is DP-203T00: Data Engineering on Microsoft Azure?
The DP-203T00: Data Engineering on Microsoft Azure course program is an in-depth training program designed to teach participants how to design and implement data engineering solutions using Microsoft Azure.
Who should enroll in DP-203T00: Data Engineering on Microsoft Azure?
The target audience for the DP-203T00 training includes:
- Data Professionals
- Data Architects
- Business Intelligence Professionals
- Data Analysts
- Data Scientists
What are the prerequisites for the DP-203T00 course?
- Proficiency in data processing languages such as SQL, Python, or Scala
- Understanding of parallel processing and data architecture patterns
What will I learn in the DP-203T00: Data Engineering on Microsoft Azure course?
You will learn to orchestrate data transfer and transformation pipelines, manage data in Azure Data Lake Storage, create and load relational data warehouses, capture and aggregate real-time data streams, and track data assets and lineage. The course also covers querying data with serverless SQL pools, performing data engineering with Azure Synapse Apache Spark Pools, and implementing real-time analytics with Azure Stream Analytics.
How long is the DP-203T00: Data Engineering on Microsoft Azure course?
The duration of the DP-203T00 training course is 32 hours
Is the DP-203T00 course online or in-person?
The course is available in both online and in-person formats, depending on the participant's reference.
What certification do I get after completing the DP-203T00 course?
Upon completing the course, you will be prepared to take the Microsoft Certified: Azure Data Engineer Associate certification exam.
Are there hands-on labs in the DP-203T00 course?
Yes, the course includes hands-on labs that provide practical experience and reinforce the lessons learned.
How can the DP-203T00 course benefit my career?
This course will enhance your skills in data engineering on Azure, making you a valuable asset to your organization. It can lead to improved career prospects, higher earning potential, and the ability to design and implement robust data solutions using Azure.
Where can I find more information about the DP-203T00: Data Engineering on Microsoft Azure course?
For more information, you can visit the InfosecTrain website or contact our support team directly. Additionally, you can check the official Microsoft Learning website for detailed course descriptions and enrollment options.
1800-843-7890 (India) 
