Course Description
This Azure Big Data Training course is meticulously crafted for data engineers, data scientists, and cloud architects who aim to master the art of building scalable and robust big data solutions on Microsoft Azure. Participants will gain comprehensive knowledge and hands-on experience in ingesting, storing, processing, and analyzing massive datasets using Azure's powerful suite of big data services. The course emphasizes practical application, architectural best practices, and performance optimization for real-world big data challenges.
Over five intensive days, this program will cover a wide array of topics, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks, Azure Stream Analytics, and Azure Data Factory. Each module integrates a Practical Session, ensuring participants gain direct experience with the Azure portal and various big data tools, reinforcing theoretical concepts with practical implementation skills ready for immediate deployment in their projects.
Upon the successful completion of this Training Course Big Data Analytics & Processing with Microsoft Azure for Data Engineers, participants will be able to:
ü Design and implement scalable data ingestion pipelines using Azure Data Factory.
ü Store and manage vast amounts of structured and unstructured data in Azure Data Lake Storage.
ü Process and transform big data using Azure Synapse Analytics and Azure Databricks.
ü Implement real-time data streaming solutions with Azure Stream Analytics.
ü Optimize big data workloads for performance and cost efficiency on Azure.
ü Secure big data environments and ensure data governance in Azure.
ü Monitor and troubleshoot Azure big data solutions effectively.
ü Choose the right Azure big data service for specific use cases and architectural patterns.
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 Training Course Big Data Analytics & Processing with Microsoft Azure for Data Engineers would be suitable for, but not limited to:
ü Data Engineers
ü Data Scientists
ü Cloud Architects
ü BI Developers
ü ETL Developers
ü Database Administrators
ü Analytics Professionals
ü Anyone involved in designing, implementing, or managing big data solutions on Azure
Personal Benefits
ü Become proficient in cutting-edge Azure big data technologies.
ü Enhance your data engineering and analytics skill set.
ü Boost your career prospects in the rapidly growing field of big data.
ü Gain confidence in designing and implementing cloud-native big data solutions.
ü Earn a valuable credential in a highly demanded skill area.
Organizational Benefits
ü Accelerated development and deployment of big data solutions.
ü Improved data-driven decision-making capabilities.
ü Optimized costs for data storage and processing in the cloud.
ü Enhanced data governance and security practices.
ü Development of in-house expertise in Azure big data ecosystem.
ü Course Duration: 5 Days
ü Training Fee
o Physical Training: USD 1,300
o Online / Virtual Training: USD 1,000
Course Outline
Module 1: Introduction to Azure Big Data Ecosystem
ü Overview of big data concepts and challenges
ü Introduction to Azure's big data services landscape
ü Understanding key big data architectural patterns (Lambda, Kappa)
ü Azure Portal navigation and resource management for big data
ü Practical Session: Setting up an Azure subscription and deploying core big data resources
Module 2: Azure Data Lake Storage Gen2
ü Deep dive into ADLS Gen2 architecture and features
ü Data organization strategies for optimal performance
ü Access control models: ACLs and RBAC
ü Data lifecycle management and tiering
ü Practical Session: Creating ADLS Gen2, managing data, and setting up access controls
Module 3: Azure Data Factory for Data Ingestion & Orchestration
ü Designing and building data pipelines with ADF
ü Ingesting data from various sources (on-prem, cloud, SaaS)
ü Data transformation activities (Mapping Data Flows, Notebooks)
ü Monitoring and scheduling ADF pipelines
ü Practical Session: Building an end-to-end data ingestion pipeline using Azure Data Factory
Module 4: Azure Synapse Analytics: Data Warehousing & Big Data Processing
ü Synapse Architecture: SQL Pool, Spark Pool, Data Explorer Pool
ü Implementing a modern data warehouse with Synapse SQL Pool
ü Big data processing with Synapse Spark Pool
ü Data ingestion and transformation within Synapse
ü Practical Session: Loading data into Synapse SQL Pool and performing analytical queries
Module 5: Azure Databricks for Advanced Analytics & Machine Learning
ü Introduction to Databricks workspace and clusters
ü Data manipulation and analysis with Spark (PySpark/Scala)
ü Integrating Databricks with ADLS Gen2 and Synapse
ü Building and deploying machine learning models on Databricks
ü Practical Session: Performing data analysis and building a simple ML model in Databricks
Module 6: Real-time Data Processing with Azure Stream Analytics
ü Concepts of real-time data processing and streaming analytics
ü Ingesting data from Azure Event Hubs and IoT Hub
ü Writing complex queries for stream processing
ü Outputting processed data to various destinations
ü Practical Session: Building a real-time analytics pipeline with Stream Analytics and Event Hubs
Module 7: Data Governance, Security, and Compliance
ü Implementing data encryption at rest and in transit
ü Managing identities and access with Azure Active Directory
ü Data masking and anonymization techniques
ü Understanding Azure policies and regulatory compliance for data
ü Practical Session: Configuring network security and data encryption for big data services
Module 8: Performance Optimization and Cost Management
ü Optimizing data storage formats and partitioning strategies
ü Performance tuning for Synapse Analytics and Databricks workloads
ü Monitoring resource utilization and identifying bottlenecks
ü Cost-effective resource sizing and scaling strategies
ü Practical Session: Analyzing performance metrics and applying optimization techniques
Module 9: Monitoring, Troubleshooting, and DevOps for Big Data
ü Using Azure Monitor and Log Analytics for big data services
ü Setting up alerts and dashboards for proactive monitoring
ü Common troubleshooting scenarios and solutions
ü Implementing CI/CD pipelines for big data solutions using Azure DevOps
ü Practical Session: Setting up monitoring and alerts for an Azure big data solution
Module 10: Designing End-to-End Big Data Solutions on Azure
ü Review of common big data architectural patterns on Azure
ü Designing a comprehensive big data solution for a case study
ü Best practices for scalability, reliability, and maintainability
ü Future trends in Azure big data and AI
ü Practical Session: Designing an end-to-end big data architecture for a given business requirement
About Our Trainers
Our trainers are certified Microsoft Azure Data Engineers and Architects with extensive industry experience in designing, implementing, and optimizing large-scale big data solutions on Azure. They possess deep practical knowledge of all major Azure big data services, including Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Azure Data Lake Storage. Our instructors have worked on complex projects across various sectors, bringing real-world scenarios and best practices directly into the classroom. Their expertise is complemented by strong pedagogical skills, ensuring an engaging and highly effective learning experience.
Quality Statement
Phoenix Training Center is committed to delivering the highest standard of professional development training. Our courses are meticulously designed, continually updated, and delivered by industry experts to ensure relevance, practical applicability, and exceptional learning outcomes. We strive to create an immersive and supportive learning environment where every participant feels empowered to achieve their personal and professional goals. Your success is our priority.
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 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. Contact us to discuss how we can create a bespoke training program for you. 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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| Sep 07 - Sep 11 2026 | Zoom | $1,200 |
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| Jun 15 - Jun 19 2026 | Nairobi | $1,500 |
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| Aug 03 - Aug 07 2026 | Nairobi | $1,500 |
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| Oct 12 - Oct 16 2026 | Nairobi | $1,500 |
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| Dec 07 - Dec 11 2026 | Nairobi | $1,500 |
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| Jun 01 - Jun 05 2026 | Nairobi | $2,500 |
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| Sep 14 - Sep 18 2026 | Kisumu | $1,500 |
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| Oct 05 - Oct 09 2026 | Eldoret | $1,500 |
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| Jul 06 - Jul 10 2026 | Zanzibar | $2,500 |
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| Jul 13 - Jul 17 2026 | Kampala | $2,500 |
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| Nov 09 - Nov 13 2026 | Arusha | $2,500 |
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| Jul 13 - Jul 17 2026 | Johannesburg | $4,500 |
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| Sep 07 - Sep 11 2026 | Pretoria | $4,500 |
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| Jun 01 - Jun 05 2026 | Cape Town | $4,500 |
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| Jul 06 - Jul 10 2026 | Dubai | $5,000 |
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| Aug 03 - Aug 07 2026 | Riyadh | $5,000 |
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| Oct 12 - Oct 16 2026 | Istanbul | $6,500 |
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Phoenix Training Center
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