DATA ENGINEERING ON MICROSOFT AZURE (DP-203T00)
- Description
- Reviews
Course Overview
Introduction
This course provides a comprehensive understanding of data engineering on Microsoft Azure, equipping IT professionals with the skills to design and implement data solutions. It is essential for corporate IT teams managing large-scale data processing, storage, and security.
Business Relevance
Microsoft Azure is a critical platform for modern data management, enabling businesses to optimize performance, enhance security, and streamline operations. This course empowers IT teams to build scalable data solutions that support business intelligence, analytics, and compliance.
Target Area
Cloud data management, data security, and scalable data processing.
What You’ll Learn & Who Should Enroll
Key Topics Covered:
- Azure Data Storage Solutions: Learn to implement data lake, blob storage, and relational databases in Azure.
- Data Processing with Azure Data Factory & Databricks: Automate data ingestion, transformation, and analytics using industry-standard tools.
- Data Security & Compliance: Apply role-based access control, encryption, and governance strategies.
- Real-Time Data Streaming & Integration: Utilize Azure Stream Analytics and Event Hubs for real-time data processing.
- Performance Optimization & Monitoring: Leverage Azure Monitor and Log Analytics to optimize data workflows.
Ideal Participants:
This course is designed for:
- Data Engineers & Architects: Build and manage scalable, secure data solutions on Azure.
- IT Leaders & Managers: Drive data-driven strategies and ensure compliance.
- Business Intelligence & Analytics Teams: Optimize data pipelines for improved reporting and decision-making.
- Security & Compliance Officers: Strengthen data governance and risk management policies.
Business Applications & Next Steps
Key Business Impact:
- Enhanced Security & Compliance: Implement robust security frameworks for enterprise data management.
- Improved IT Governance: Establish efficient data governance practices aligned with business goals.
- Operational Efficiency: Streamline data workflows to support real-time insights and automation.
Why Choose Acumen IT Training?
- Enterprise-Focused Curriculum: Designed specifically for the challenges and demands of corporate IT environments.
- Qualified-Led Training: Learn from seasoned industry professionals with extensive real-world experience.
- Business-Driven Learning: Benefit from practical applications that directly impact your organization’s performance.
- Flexible Training Options: Choose from Online, Hybrid Training, Instructor-Led On-Site (at your location or ours), and Corporate Group Sessions.
For the full course outline, schedules, and private corporate training inquiries, contact us at Acumen IT Training.
Course Outline
COURSE OBJECTIVES
- Understand the various components of the Microsoft Azure platform and how to use them to manage data.
- Learn how to construct pipelines and deploy them using Azure Data Factory.
- Develop and deploy custom data transformations using Azure Databricks.
- Integrate and secure data systems on Azure with Azure Data Lake and Azure Data Catalog.
• Learn how to query and store data using Azure SQL Database, SQL Data Warehouse, and Data Lake Storage - Monitor and optimize data pipelines on Microsoft Azure.
- Explore end-to-end data integration solution architectures based on customer requirements.
- Use Azure Stream Analytics to analyze real-time data streams on the cloud.
- Analyze big data workloads on Azure with HDInsight, Data Lake Analytics, and Azure Machine Learning.
TRAINING INCLUSIONS
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Comprehensive training materials and reference guides.
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Hands-on lab exercises with real-world Azure data engineering scenarios.
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Data Engineering on Microsoft Azure Certificate of Training Completion.
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Access to Microsoft Azure tools and services during training.
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30 Days Post-Training Support.
COURSE OUTLINE
Module 1: Get started with data engineering on Azure
Module 2: Build data analytics solutions using Azure Synapse Analytics serverless SQL pools
Module 3: Perform data engineering with Azure Synapse Apache Spark Pools
Module 4: Work with data warehouses using Azure Synapse Analytics
Module 5: Transfer and transform data with Azure Synapse Analytics Pipelines
Module 6: Work with hybrid transactional and analytical processing (HTAP) Solutions using Azure Synapse Analytics
Module 7: Implement a data streaming solution with Azure Stream Analytics
Module 8: Govern data across an enterprise
Module 9: Data engineering with Azure Databricks
For full course outline, please contact us at Acumen IT Training, Inc.
FAQs
- What is this training about?
This course covers data engineering concepts on Microsoft Azure, including data storage, processing, and integration using Azure services. - Who should attend this training?
Data engineers, analysts, and IT professionals looking to work with big data solutions on Azure. - Do I need prior experience in Azure?
Basic knowledge of cloud computing and SQL is helpful but not required. - What Azure services are covered in this training?
You will learn about Azure Data Lake, Azure Synapse Analytics, Azure Databricks, Azure Stream Analytics, and more. - How long is the training?
The course typically runs for 3 to 5 days, including hands-on labs and real-world applications. - Is this training available online?
Yes, we offer both online and in-person training options. - Will I receive a certificate after completing the course?
Yes, participants will receive a Data Engineering on Microsoft Azure Certificate of Training Completion. - How will this training help my career?
Azure data engineering skills are in high demand. This course prepares you for roles in data engineering, analytics, and cloud-based data solutions. - What kind of projects will I work on?
You’ll work on real-world data engineering tasks, including ETL processing, real-time data ingestion, and analytics solutions. - How can I enroll in this course?
You can contact us for schedules, private class bookings, and enrollment details.
Real-World Applications of Data Engineering on Microsoft Azure
Case Study 1: Optimizing Data Pipelines for a Financial Institution
Challenge: A banking firm struggled with slow data processing for real-time fraud detection.
Solution: Implemented Azure Data Factory and Azure Synapse Analytics for automated data pipelines and real-time analytics.
Result:
✅ 50% faster fraud detection time
✅ Improved data accuracy and reporting efficiency
✅ Enhanced customer security and satisfaction
Case Study 2: Real-Time Analytics for an E-commerce Platform
Challenge: An online retailer needed real-time insights into sales, inventory, and customer behavior.
Solution: Used Azure Stream Analytics and Azure Databricks to process and analyze real-time transactional data.
Result:
✅ 30% improvement in demand forecasting
✅ Reduced inventory wastage and stockouts
✅ Increased customer retention through personalized recommendations
Use Case 1: Data Warehousing for Business Intelligence
A multinational company migrated its on-premises data warehouse to Azure Synapse Analytics.
✅ Faster query performance for data analysis
✅ Cost savings by eliminating legacy infrastructure
✅ Scalable data processing for large datasets
Use Case 2: IoT Data Processing for Smart Manufacturing
A manufacturing company used Azure IoT Hub and Azure Data Lake to collect and process machine data.
✅ Real-time monitoring of equipment performance
✅ Reduced downtime with predictive maintenance
✅ Data-driven decision-making for process improvements
Why These Case Studies Matter for You
Mastering Azure data engineering allows businesses to process, store, and analyze large datasets efficiently. Whether you’re working with structured or unstructured data, Azure provides scalable solutions to meet business needs.
🔗 Enroll today and take the next step in your data engineering journey with Microsoft Azure!
Testimonials: What Professionals Say About Our Data Engineering on Microsoft Azure Training
⭐ ⭐ ⭐ ⭐ ⭐ “A game-changer for my career!”
“This course gave me hands-on experience with Azure data tools. I feel more confident in my role as a data engineer.”
— John M., Data Engineer
⭐ ⭐ ⭐ ⭐ ⭐ “Highly practical and informative!”
“I was able to apply what I learned immediately in my company’s data migration project.”
— Liza C., IT Consultant
⭐ ⭐ ⭐ ⭐ ⭐ “Excellent training for Azure certification!”
“Great training with real-world scenarios. It also helped me prepare for the DP-203 certification exam.”
— Marco D., Cloud Data Specialist
