Course Overview
This intensive Microsoft Azure big data analytics corporate training is designed for data professionals, IT specialists, and business intelligence analysts who want to leverage the power of Azure for big data solutions. This program goes beyond a simple overview of cloud services to provide a deep dive into the strategic use of Azure's big data ecosystem. This is the definitive Azure big data training for anyone seeking a Microsoft big data certification and the skills to transform data into valuable insights.
The curriculum covers a wide range of topics, including data ingestion, storage, processing, and visualization using Azure services like Data Lake Storage, Databricks, and Synapse Analytics. It delves into the critical elements of data governance, security, and scalability in a cloud environment. This Azure data analytics training emphasizes hands-on, project-based learning to ensure you leave with the skills to immediately apply what you've learned. By the end of this program, you will have a complete skill set for designing and managing a big data pipeline on Azure.
Course Objectives
Upon the successful completion of this ☁️ Microsoft Azure Big Data Analytics Training Course, participants will be able to:
ü Understand the core services of the Azure big data ecosystem.
ü Design and implement a scalable big data solution on Azure.
ü Ingest and store data efficiently using Azure Data Lake Storage.
ü Process and transform data using Azure Databricks and Synapse Analytics.
ü Apply data governance and security best practices.
ü Create compelling dashboards and visualizations.
ü Prepare for the Azure big data certification exam.
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 ☁️ Microsoft Azure Big Data Analytics Training Course would be suitable for, but not limited to:
ü Data Engineers and Data Scientists
ü Business Intelligence Professionals
ü Cloud Solution Architects
ü Database Administrators
ü Anyone involved in big data projects on the Azure platform
Personal Benefits
ü Acquire a specialized and highly valuable skill set.
ü Enhance your data engineering and analytical abilities.
ü Boost your career prospects in the rapidly growing field of cloud big data.
ü Gain the confidence to lead and manage big data projects.
ü Become a key asset to your organization in making data-driven decisions.
Organizational Benefits
ü Accelerate time-to-insight from large and complex datasets.
ü Optimize data infrastructure costs by leveraging cloud scalability.
ü Improve data governance and security across the enterprise.
ü Foster a culture of data-driven decision-making.
ü Gain a competitive advantage through effective use of big data.
ü Course Duration: 5 Days
ü Training Fee
ü Physical Training: USD 1,500
ü Online / Virtual Training: USD 1,200
Course Outline
Module 1: Introduction to Azure Big Data & Analytics
ü The concept of big data and its value
ü The role of cloud computing in big data
ü An overview of the Azure big data ecosystem
ü The benefits of Azure analytics training
ü The importance of a well-defined big data strategy
ü Practical Session: A guided tour of the Azure Portal and its big data services
Module 2: Data Ingestion with Azure Data Factory
ü The purpose of a data pipeline
ü The different types of data sources
ü The process of creating a data factory pipeline
ü The importance of a clear and consistent data ingestion plan
ü The dangers of a bad ingestion plan
ü Practical Session: A hands-on lab on creating a data pipeline to ingest data from a source
Module 3: Data Storage with Azure Data Lake
ü The purpose of a data lake
ü The difference between a data lake and a data warehouse
ü The principles of a well-organized data lake
ü The importance of a clear and consistent data format
ü The dangers of a disorganized data lake
ü Practical Session: A hands-on lab on creating and managing a data lake
Module 4: Big Data Processing with Azure Databricks
ü The purpose of a big data processing engine
ü The principles of Spark and Databricks
ü The process of creating and running a notebook
ü The importance of a clear and consistent workflow
ü The value of a scalable processing system
ü Practical Session: A hands-on lab on processing a large dataset using Databricks
Module 5: Real-Time Analytics with Azure Stream Analytics
ü The purpose of a real-time analytics system
ü The principles of stream processing
ü The process of creating and running a job
ü The importance of a clear and consistent workflow
ü The value of a fast and reliable system
ü Practical Session: A hands-on lab on a real-time analytics scenario
Module 6: Data Warehousing with Azure Synapse Analytics
ü The purpose of a data warehouse
ü The difference between a data lake and a data warehouse
ü The principles of a well-organized data warehouse
ü The importance of a clear and consistent data format
ü The dangers of a disorganized data warehouse
ü Practical Session: A hands-on lab on creating and managing a data warehouse
Module 7: Data Visualization with Power BI
ü The purpose of a dashboard
ü The principles of effective data visualization
ü The role of a dashboard
ü The importance of a clear and concise report
ü The value of a data-driven approach
ü Practical Session: A hands-on lab on creating a simple dashboard
Module 8: Data Security and Governance on Azure
ü The importance of a clear and consistent policy
ü The legal implications of a bad security plan
ü The role of a data governance team
ü The importance of a clear and consistent plan
ü The dangers of a bad security plan
ü Practical Session: A group exercise to create a simple security and governance plan
Module 9: End-to-End Big Data Solution Design
ü The components of a comprehensive solution
ü The importance of a clear and logical design
ü The role of a solution architect
ü The importance of a clear and consistent plan
ü The dangers of a bad design
ü Practical Session: A group exercise to design a big data solution
Module 10: Certification Exam Preparation & Case Study
ü A comprehensive review of all course topics
ü Practice questions and mock exams
ü A detailed discussion of key concepts
ü Strategies for passing the Microsoft big data certification exam
ü Practical Session: A practice certification exam
Our trainers are certified Azure solution architects and data engineers with extensive experience in Microsoft Azure big data analytics corporate training. They have a proven track record of successfully implementing a wide range of big data solutions for multinational corporations and small businesses. Our trainers are not just instructors; they are practitioners who bring a wealth of practical experience and a deep understanding of the challenges and nuances of big data on Azure to the classroom.
Quality Statement
Phoenix Training Center is committed to providing high-quality, practical training that delivers tangible results. This Azure big data training course is meticulously designed to provide you with the most current and valuable knowledge available. We guarantee that the skills and insights you acquire will be directly applicable to your role, helping you drive significant value for your organization.
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 |
|---|---|---|---|
| Aug 03 - Aug 07 2026 | Zoom | $1,200 |
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| Jun 15 - Jun 19 2026 | Nairobi | $1,500 |
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| Aug 10 - Aug 14 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 | Naivasha | $1,500 |
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| May 18 - May 22 2026 | Mombasa | $1,500 |
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| Jul 13 - Jul 17 2026 | Kisumu | $1,500 |
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| Jun 08 - Jun 12 2026 | Eldoret | $1,500 |
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| Jun 15 - Jun 19 2026 | Kigali | $2,500 |
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| Jul 13 - Jul 17 2026 | Zanzibar | $2,500 |
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| Aug 10 - Aug 14 2026 | Kampala | $2,500 |
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| Oct 05 - Oct 09 2026 | Pretoria | $4,500 |
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| Jun 01 - Jun 05 2026 | Cape Town | $4,500 |
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| Jul 20 - Jul 24 2026 | Dubai | $5,000 |
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| May 25 - May 29 2026 | Riyadh | $5,000 |
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| Jul 13 - Jul 17 2026 | Istanbul | $6,500 |
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Phoenix Training Center
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