☁️ Professional Azure Data Analytics Training and Big Data Certification Prep
Course Overview
This intensive, five-day Professional Azure Data Analytics Training is a hands-on Azure Big Data Training Course designed for Data Engineers, Data Analysts, and Business Intelligence professionals seeking to master the full suite of Microsoft Azure services for processing, storing, and analyzing large-scale datasets. This program provides the core knowledge and practical skills required to build high-performance, scalable data pipelines in the cloud, and serves as excellent preparation for relevant Azure Big Data Certification exams (e.g., Azure Data Engineer Associate, DP-203). Participants will gain expertise in constructing end-to-end modern data warehouse and data lake solutions.
The curriculum is focused on the most critical Azure data analytics services across 10 modules. Key topics include using Azure Synapse Analytics for both data warehousing and big data processing, implementing Azure Data Lake Storage Gen2 for scalable storage, building robust Extract, Transform, Load (ETL/ELT) pipelines with Azure Data Factory, and leveraging Azure Databricks for high-performance Spark analytics. This 5-Day Azure Data Analytics Training will enable participants to master Azure Big Data Certification & Solutions with Synapse, Data Lake, and Databricks. The course culminates in visualizing data insights using Power BI integrated with Azure services.
Course Objectives
Upon the successful completion of this Advanced Data Analysis and Dashboard Reporting with Microsoft Excel Training Course, participants will be able to:
ü Design, implement, and manage a complete Azure data analytics solution
ü Confidently use Azure Data Factory and Azure Databricks for data transformation
ü Master the architecture and features of Azure Synapse Analytics
ü Prepare effectively for Azure Big Data Certification exams and interviews
ü Write complex queries using SQL and Spark to extract meaningful insights
Training Methodology
The course is designed to be highly interactive, challenging and stimulating. It will be an instructor led training and will be delivered using a blended learning approach comprising of presentations, discussions, guided sessions of practical exercise, case study review, web-based tutorials, group work, exploration of relevant issues collaborative strength training, performance measurement, and workshops of participants’ displays, all of which adhere to the highest standards of training. The training technique is built on learning by doing, with lecturers using a learner-centered approach to engage participants and provide tasks that allow them to apply what they’ve learned. Experiential knowledge is also given equal importance within the format of training. Our facilitators are seasoned industry professionals with years of expertise in their chosen fields. All facilitation and course materials will be offered in English.
Who Should Attend?
This Advanced Data Analysis and Dashboard Reporting with Microsoft Excel Training Course would be suitable for, but not limited to:
ü Data Engineers and Data Analysts
ü Business Intelligence (BI) Professionals
ü Solution Architects and Cloud Developers
ü Database Administrators transitioning to Azure Big Data
ü Individuals seeking Azure Big Data Certification
Organizational Benefits
ü Build scalable and cost-effective Azure Big Data platforms
ü Accelerate time-to-insight by efficiently processing large datasets
ü Implement robust, automated, and maintainable data ingestion pipelines
ü Leverage integrated Azure analytics services to unify data warehousing and Big Data
ü Enhance the organization's capability in cloud-native data analytics
ü Course Duration: 5 Days
ü Training Fee
o Physical Training: USD 1,500
o Online / Virtual Training: USD 1,200
Course Outline
Module 1: Azure Big Data Ecosystem and Architecture Fundamentals
ü The Modern Data Warehouse architecture on Azure
ü Overview of core Azure data analytics services (Synapse, Data Factory, Databricks)
ü Choosing the right Azure service for different data workloads
ü Infrastructure as Code (IaC) basics for Azure deployment
ü Practical Session: Provisioning and Configuring Core Azure Data Services
Module 2: Scalable Storage with Azure Data Lake Storage Gen2
ü Key features of Azure Data Lake Storage Gen2 (ADLS Gen2)
ü Data organization with Hierarchical Namespace and file formats (Parquet, Delta Lake)
ü Security model for ADLS Gen2 (Access Control Lists)
ü Data ingestion security and access patterns
ü Practical Session: Implementing the Bronze, Silver, Gold Layering in ADLS Gen2
Module 3: Data Ingestion and Transformation with Azure Data Factory
ü Creating and managing Data Factory pipelines and linked services
ü Implementing ETL/ELT processes using Copy Data Activity
ü Utilizing Data Flow for code-free data transformations
ü Scheduling and monitoring ADF runs for automated data flows
ü Practical Session: Building a Data Ingestion Pipeline using Azure Data Factory (ADF)
Module 4: Enterprise Data Warehousing with Azure Synapse Analytics
ü Dedicated SQL Pools vs. Serverless SQL Pools in Synapse
ü Distributed table design and indexing strategies for performance
ü Synapse Spark integration and notebooks
ü Synapse Studio workspace management and security
ü Practical Session: Loading and Querying Data in a Dedicated SQL Pool
Module 5: Azure Databricks and Apache Spark for Big Data Training
ü Introduction to Azure Databricks architecture and clusters
ü Writing and optimizing code using PySpark and Spark SQL
ü Working with the Delta Lake open source storage layer
ü Integration between Databricks and Azure Data Lake
ü Practical Session: Building a Data Transformation Job using PySpark in Databricks
Module 6: Stream Processing and Real-Time Analytics with Azure
ü Introduction to Azure Event Hubs and Azure IoT Hub
ü Real-time data analytics using Azure Stream Analytics
ü Processing and visualizing streaming data for immediate insights
ü Lambda and Kappa architecture principles
ü Practical Session: Setting up a Stream Analytics Job to Analyze Live Data
Module 7: Security and Governance in Azure Data Analytics
ü Role-Based Access Control (RBAC) for Azure services
ü Network security: Virtual Networks (VNet) and Private Endpoints
ü Data encryption at rest and in transit
ü Introduction to Azure Purview for data governance
ü Practical Session: Configuring Azure RBAC for Data Lake and Synapse Access
Module 8: Performance Optimization and Cost Management
ü Scaling strategies for Azure Synapse and Databricks clusters
ü Optimizing Spark cluster configurations and memory allocation
ü Strategies for cost control in Azure (pausing resources, scaling down)
ü Monitoring and logging with Azure Monitor
ü Practical Session: Tuning a Slow-Running Spark Job for Performance Improvement
Module 9: Data Visualization and Power BI Integration
ü Connecting Power BI to Azure Synapse and ADLS
ü Utilizing DirectQuery vs. Import Mode for large datasets
ü Building effective dashboards and reports for business users
ü Data sharing and collaboration in Power BI Service
ü Practical Session: Creating a Power BI Dashboard Connected to Azure Synapse
Module 10: Azure Big Data Certification Preparation and Review
ü Detailed review of key concepts aligned with DP-203/DP-500 exams
ü Sample questions and scenario analysis
ü Exam strategy and resource guidance for certification
ü Q&A session with the instructor on advanced Azure topics
ü Practical Session: End-of-Course Comprehensive Practice Exam/Assessment
Our trainers are Microsoft Certified Professionals (MCP) and Azure Data Engineers/Architects who hold the Azure Big Data Certification (DP-203 or equivalent). They possess a minimum of 10 years of experience in implementing large-scale cloud data analytics solutions and have direct, hands-on experience with the entire Azure Big Data stack, ensuring industry-relevant and up-to-date azure analytics training.
Quality Statement
We are committed to delivering a superior Azure Data Analytics Training Course that is highly practical, aligned with Azure Big Data Certification objectives, and focused on real-world architecture. Our program guarantees participants gain the technical mastery required to efficiently engineer, deploy, and manage cutting-edge Azure Big Data solutions.
Admission Criteria
ü Participants should be reasonably proficient in English.
ü Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.
Terms and Conditions
Booking for Training
Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.
Or call us on +254720272325 / +254737296202
Payment Options
We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:
Cancellation Policy
Tailor-Made Courses
We understand that every organization has unique challenges and opportunities as well as unique training needs. Phoenix Training Center offers tailor-made courses designed to address specific requirements and challenges faced by your team or organization. Whether you need a customized curriculum, a specific duration, or on-site delivery, we can adapt our expertise to provide a training solution that perfectly aligns with your objectives.
We can customize this Course to focus on your industry, specific risk profile, or internal stakeholder dynamics. Contact us to discuss how we can create a bespoke training program that maximizes value and impact for your team. For further inquiries, please contact us on Tel: +254720272325 / +254737296202 or Email training@phoenixtrainingcenter.com
Accommodation and Airport Pick-up
For physical training attendees, we can assist with recommendations for accommodation near the training venue. Airport pick-up services can also be arranged upon request to ensure a smooth arrival. Please inform us of your travel details in advance if you require these services. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737296202
| Course Dates | Venue | Fees | Enroll |
|---|---|---|---|
| Jun 08 - Jun 12 2026 | Zoom | $1,200 |
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| Aug 10 - Aug 14 2026 | Nairobi | $1,500 |
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| Jun 08 - Jun 12 2026 | Nairobi | $1,500 |
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| Oct 05 - Oct 09 2026 | Nairobi | $1,500 |
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| Dec 07 - Dec 11 2026 | Nairobi | $1,500 |
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| Jun 08 - Jun 12 2026 | Nakuru | $1,500 |
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| Jul 06 - Jul 10 2026 | Naivasha | $1,500 |
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| Jul 20 - Jul 24 2026 | Kigali | $2,500 |
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| Jun 08 - Jun 12 2026 | Zanzibar | $2,500 |
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| Jul 06 - Jul 10 2026 | Kampala | $2,500 |
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| Jun 22 - Jun 26 2026 | Arusha | $2,500 |
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| Jul 06 - Jul 10 2026 | Johannesburg | $4,500 |
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| Jul 13 - Jul 17 2026 | Dubai | $5,000 |
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| Aug 17 - Aug 21 2026 | Istanbul | $6,500 |
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Phoenix Training Center
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