Enterprise Data Platforms with Azure Training Course

 Enterprise Data Platforms with Azure Training Course 

Introduction 

Enterprise Data Platforms with Azure Training Course provides comprehensive knowledge and practical skills for designing, implementing, managing, and optimizing modern enterprise data ecosystems using Microsoft Azure technologies. The course explores cloud data architecture, enterprise data management, data integration, data warehousing, data lakes, Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and real-time data processing. Participants gain practical expertise in building scalable, secure, reliable, and cost-effective enterprise data platforms that support business intelligence, advanced analytics, artificial intelligence, and data-driven decision-making. Emphasis is placed on cloud-native data engineering, data governance, metadata management, data quality, enterprise data security, and modern data architecture. 

The training also examines enterprise data strategy, hybrid and multi-cloud integration, data orchestration, analytics engineering, and automated data pipelines. Participants explore how organizations can modernize legacy infrastructure, implement centralized and decentralized data architectures, establish data governance frameworks, and improve enterprise-wide data accessibility. Through practical exercises and international case studies, participants develop the capabilities to manage complex data environments, optimize cloud resources, implement disaster recovery strategies, and establish scalable data operations. The course prepares professionals to leverage Microsoft Azure data services to accelerate digital transformation, strengthen operational efficiency, and deliver measurable business value through enterprise data platforms. 

Course Objectives 

• Understand enterprise data architecture and cloud data platform design.
• Develop scalable Microsoft Azure data engineering solutions.
• Implement enterprise data integration and pipeline automation.
• Design modern data lakes and enterprise data warehouses.
• Apply Microsoft Fabric and Azure Synapse Analytics.
• Implement real-time data streaming and processing.
• Strengthen enterprise data governance and data quality.
• Apply cloud security, encryption, and access management.
• Optimize enterprise data storage and processing costs.
• Implement metadata management and data cataloguing.
• Integrate artificial intelligence and advanced analytics.
• Apply DevOps and DataOps for automated data operations.
• Develop enterprise data modernization and migration strategies.

Organizational Benefits
 

• Improved enterprise data accessibility and utilization.
• Reduced infrastructure and data management costs.
• Enhanced data security and regulatory compliance.
• Faster business intelligence and reporting processes.
• Improved data quality and operational reliability.
• Scalable cloud-based enterprise data infrastructure.
• Better strategic planning and data-driven decisions.
• Increased automation of enterprise data workflows.
• Improved collaboration across business departments.
• Accelerated digital transformation initiatives.

Target Audiences
 

• Enterprise Data Architects and Cloud Architects.
• Data Engineers and Analytics Engineers.
• Business Intelligence and Data Analytics Professionals.
• Database Administrators and Data Platform Managers.
• Cloud Computing and IT Infrastructure Specialists.
• Data Governance and Data Management Professionals.
• Artificial Intelligence and Machine Learning Engineers.
• IT Directors, Digital Transformation Managers, and Technology Consultants.

Course Duration: 5 days

Course Modules

Module 1: Enterprise Data Platform Architecture
 

• Enterprise data architecture principles and frameworks.
• Microsoft Azure data platform components and services.
• Data lakehouse, data warehouse, and data mesh architectures.
• Enterprise scalability, availability, and interoperability.
• Architecture design using Azure Well-Architected Framework.
• Case study: Microsoft's enterprise-scale cloud data architecture implementation.

Module 2: Azure Data Storage and Management
 

• Azure Data Lake Storage Gen2 configuration.
• Azure Blob Storage and enterprise storage solutions.
• Data partitioning, lifecycle management, and optimization.
• Structured, semi-structured, and unstructured data.
• Storage security, redundancy, and disaster recovery.
• Case study: Enterprise data lake implementation in a global financial institution.

Module 3: Enterprise Data Integration and Engineering
 

• Azure Data Factory and pipeline development.
• Data ingestion, transformation, and orchestration.
• ETL and ELT enterprise integration frameworks.
• API integration and hybrid data connectivity.
• Automated data workflows and pipeline monitoring.
• Case study: Global retail data integration using Azure Data Factory.

Module 4: Enterprise Data Warehousing and Analytics
 

• Azure Synapse Analytics architecture and implementation.
• Enterprise data warehouse modelling techniques.
• Dimensional modelling and schema optimization.
• SQL analytics and distributed query processing.
• Business intelligence integration and reporting.
• Case study: Walmart-style enterprise retail analytics and centralized reporting.

Module 5: Microsoft Fabric and Lakehouse Engineering
 

• Microsoft Fabric architecture and core components.
• OneLake storage and enterprise data organization.
• Lakehouse development and Delta Lake architecture.
• Fabric Data Factory and analytics engineering.
• Power BI integration and semantic modelling.
• Case study: Enterprise-wide analytics modernization using Microsoft Fabric.

Module 6: Real-Time Data Processing and Advanced Analytics
 

• Azure Event Hubs and real-time data ingestion.
• Azure Stream Analytics and event processing.
• Azure Databricks and Apache Spark applications.
• Real-time analytics and predictive data processing.
• Integration of machine learning into enterprise platforms.
• Case study: Global logistics real-time tracking and predictive analytics.

Module 7: Enterprise Data Governance, Security and Compliance
 

• Enterprise data governance frameworks and policies.
• Microsoft Purview and enterprise data cataloguing.
• Role-based access control and identity management.
• Data encryption, privacy, and regulatory compliance.
• Data lineage, quality assurance, and metadata management.
• Case study: Financial-sector enterprise data governance implementation.

Module 8: DataOps, Platform Optimization and Modernization
 

• DataOps automation and CI/CD implementation.
• Azure DevOps and infrastructure as code.
• Enterprise data platform monitoring and observability.
• Cloud cost management and performance optimization.
• Legacy data migration and platform modernization.
• Case study: Enterprise cloud migration and modernization using Microsoft Azure.

Training Methodology
 

• Instructor-led presentations and interactive technical discussions.
• Practical Microsoft Azure laboratory exercises.
• Enterprise data architecture design simulations.
• Hands-on data integration and pipeline development.
• International enterprise case studies and group projects.
• Practical assessments, demonstrations, and knowledge evaluations.

Register as a group from 3 participants for a Discount

Send us an email: info@datastatresearch.org or call +254724527104

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.
 
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
 
c. Course duration is flexible and the contents can be modified to fit any number of days.
 
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
 
e. One-year post-training support Consultation and Coaching provided after the course.
 
f. Payment should be done at least a week before commence of the training, to DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.