32 Hrs
3722+ Enrollments
DP-203T00: Data Engineering on Microsoft Azure
This instructor-led course is designed to help learners acquire the skills and knowledge required to work with Azure data engineering technologies. The course covers key concepts such as data ingestion, storage, processing, and management on the Azure platform.
DP-203T00: Data Engineering on Microsoft Azure
Overview of Course
The DP-203T00: Data Engineering on Microsoft Azure course offered by Skillzcafe provides a comprehensive understanding of Azure data engineering concepts and skills to design, implement, and manage data processing systems.
Course Highlights
Learn from expert instructors with real-world industry experience.
Hands-on exercises to gain practical experience.
Interactive sessions and discussions.
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Design and implement data processing systems on Azure.
Work with Azure data services such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks.
Build and maintain data pipelines and data processing workflows.
Understand key data engineering concepts such as ETL, data warehousing, and streaming data processing.
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Understand Azure Synapse Analytics
- Describe Azure Databricks
- Describe Azure Databricks Delta Lake architecture
- Understand Azure Data Lake storage
- Work with data streams using Azure Stream Analytics
- Explore Azure Synapse serverless SQL pools capabilities
- Query data using Azure Synapse serverless SQL pools
- Create metadata objects in Azure Synapse serverless SQL pools
- Secure data and manage users in Azure Synapse serverless SQL pools
- Describe Azure Databricks
- Read and write data in Azure Databricks
- Work with DataFrames in Azure Databricks
- Work with DataFrames advanced methods in Azure Databricks
- Understand big data engineering with Apache Spark pools in Azure Synapse Analytics
- Ingest data with Apache Spark notebooks in Azure Synapse Analytics
- Integrate SQL and Apache Spark pools in Azure Synapse Analytics
- Transform data with DataFrames in Apache Spark pools in Azure Synapse Analytics
- Monitor and manage data engineering workloads with Apache Spark pools in Azure Synapse Analytics
- Use data loading best practices in Azure Synapse Analytics
- Perform Petabyte-scale ingestion with Azure Data Factory or Azure Synapse Pipelines
- Perform Data integration with Azure Data Factory or Azure Synapse Pipelines
- Perform Code-free transformation at scale with Azure Data Factory or Azure Synapse Pipelines
- Add an activity to the control flow to orchestrate data from other technologies
- Use parameters in Azure Data Factory/Synapse pipelines
- Secure a data warehouse
- Configure and manage secrets in Azure Key Vault
- Implement compliance controls for sensitive data
- Design hybrid transactional and analytical processing using Azure Synapse Analytics
- Configure Azure Synapse Link with Azure Cosmos DB
- Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
- Query Azure Cosmos DB with SQL Serverless for Azure Synapse Analytics
- Work with data streams using Azure Stream Analytics
- Enable reliable messaging for Big Data applications using Azure Event Hubs
- Ingest data streams with Azure Stream Analytics
- Learn the key features and uses of Structured Streaming
- Stream data from a file and write it out to a distributed file system
- Use sliding windows to aggregate over chunks of data rather than all data
- Apply watermarking to throw away stale old data that you do not have space to keep
Connect to Event Hubs read and write streams
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- This course is ideal for data engineers, data architects, and data scientists who want to gain expertise in designing and implementing data processing systems on the Azure platform.
Prerequisite:
- Basic knowledge of SQL and data processing concepts.
- Familiarity with Azure services and concepts is recommended but not mandatory.
Benefits of the course:
- Gain in-demand skills required for data engineering roles.
- Learn from expert instructors with real-world industry experience.
- Hands-on experience with Azure data services.
- Get a globally recognized certification after passing the exam.
Exam details to pass the course:
- The DP-203T00: Data Engineering on Microsoft Azure course exam consists of multiple-choice questions and is conducted online.
- The exam fee is not included in the course fee.
Certification path:
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Database Administrator Associate
- Microsoft Certified: Azure Solutions Architect Expert
Career options after doing the course:
- Data Engineer
- Data Architect
- Data Analyst
- Database Administrator
Why should you take this course from Skillzcafe:
Learn from expert instructors with real-world industry experience.- Hands-on experience with Azure data services.
- Interactive sessions and discussions with peers.
- Get a globally recognized certification after passing the exam.
- Flexible learning options with online and classroom training.
FAQs
The DP-203T00: Data Engineering on Microsoft Azure course is a 4-day course.
Please contact Skillzcafe for course fee details.
Yes, Skillzcafe offers online training options for this course.
No, the exam fee is not included in the course fee.
The passing score for the DP-203T00: Data Engineering on Microsoft Azure exam is 700 out of 1000.
The Microsoft Certified: Azure Data Engineer Associate certification is valid for two years from the date of certification.
Yes, you can retake the exam after a certain period of time if you fail to pass on the first attempt.
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