Serverless BI and Event-Driven Analytics Training Course: Modernizing Business Intelligence for Agility and Scalability

Introduction

Serverless architectures are revolutionizing Business Intelligence (BI) by enabling organizations to build scalable, cost-effective, and highly responsive analytics solutions without managing infrastructure. Coupled with event-driven analytics, serverless BI allows for the real-time processing of data triggered by events, ensuring timely insights and rapid decision-making. These technologies empower BI professionals to focus on data analysis and actionable intelligence while cloud providers handle provisioning, scaling, and infrastructure management.

This training course equips participants with the skills and knowledge required to design, implement, and optimize serverless BI and event-driven analytics solutions. Through practical exercises, case studies, and real-world examples, learners will explore serverless cloud architectures, event-driven data pipelines, real-time processing frameworks, and integration with BI platforms. By the end of the course, participants will be able to deploy cost-efficient, scalable, and real-time analytics solutions that enhance organizational agility and decision-making.

Duration: 10 Days

Target Audience

  • Business Intelligence professionals and data analysts
  • Data engineers and architects
  • IT managers overseeing cloud analytics infrastructure
  • Professionals working with real-time and event-driven data
  • Decision-makers seeking scalable and flexible BI solutions

10 Objectives

  1. Understand the fundamentals of serverless BI and event-driven analytics
  2. Explore serverless architectures and cloud computing models
  3. Design event-driven data pipelines for real-time insights
  4. Implement ETL/ELT workflows in serverless environments
  5. Integrate BI tools with serverless and event-driven systems
  6. Apply real-time analytics for operational and strategic decision-making
  7. Ensure data quality, security, and governance in serverless BI
  8. Optimize performance, scalability, and cost-efficiency
  9. Examine industry use cases and best practices
  10. Develop and deploy a complete serverless, event-driven BI project

15 Course Modules

Module 1: Introduction to Serverless BI and Event-Driven Analytics

  • Overview of serverless computing for BI
  • Event-driven architecture principles
  • Benefits for scalability, cost, and agility
  • Use cases across industries
  • Emerging trends in modern BI

Module 2: Cloud Computing Fundamentals for Serverless BI

  • IaaS, PaaS, and SaaS models
  • Serverless vs traditional cloud services
  • Resource provisioning and auto-scaling
  • Networking considerations for serverless BI
  • Performance and latency fundamentals

Module 3: Event-Driven Architecture and Messaging Systems

  • Overview of event-driven design
  • Message brokers and queues (Kafka, SQS, Pub/Sub)
  • Event types and triggers
  • Designing reliable event workflows
  • Fault tolerance and high availability

Module 4: Serverless Data Storage and Management

  • Cloud-native storage options
  • Object storage and managed databases
  • Partitioning and indexing strategies
  • Optimizing storage for low latency
  • Security and access control

Module 5: Data Ingestion for Serverless BI

  • Batch vs streaming ingestion methods
  • Real-time event ingestion frameworks
  • Data validation and transformation in pipelines
  • Integration with BI platforms
  • Automation best practices

Module 6: ETL/ELT in Serverless Environments

  • Designing serverless ETL/ELT workflows
  • Handling data transformation at scale
  • Automating processing pipelines
  • Scheduling and orchestration techniques
  • Monitoring and troubleshooting

Module 7: Real-Time Analytics and Event Processing

  • Stream processing frameworks (Flink, Spark Streaming, Kinesis)
  • Low-latency analytics workflows
  • Alerting and notifications for events
  • Predictive and prescriptive analytics on streaming data
  • Visualization of real-time insights

Module 8: BI Tool Integration

  • Connecting serverless pipelines to BI dashboards
  • Real-time data visualization and reporting
  • KPI tracking for event-driven metrics
  • Automated reporting and alerts
  • Best practices for scalable BI integration

Module 9: Performance Optimization in Serverless BI

  • Resource allocation and auto-scaling
  • Optimizing query performance and data flows
  • Reducing latency and improving throughput
  • Monitoring and logging strategies
  • Troubleshooting serverless workflows

Module 10: Security and Governance

  • Data encryption and secure access
  • Authentication and authorization
  • Compliance in serverless and event-driven systems
  • Auditing and monitoring pipelines
  • Governance frameworks for BI data

Module 11: Cloud Platforms for Serverless BI

  • Overview of leading serverless cloud services
  • Multi-cloud and hybrid options
  • Deployment best practices
  • Integration with existing BI infrastructure
  • Case studies of enterprise implementations

Module 12: Advanced Analytics in Serverless BI

  • Predictive analytics on event streams
  • Machine learning in serverless environments
  • Pattern recognition and anomaly detection
  • Prescriptive insights for operational efficiency
  • Industry-specific use cases

Module 13: Automation and Orchestration

  • Workflow scheduling and management
  • Event triggers and automated responses
  • Error handling and recovery
  • Dependency management in pipelines
  • Ensuring reliability and scalability

Module 14: Emerging Trends and Future Directions

  • Serverless AI and augmented analytics
  • Edge computing integration
  • Real-time decision-making innovations
  • Data lakehouse and unified analytics
  • Preparing for next-generation BI architectures

CERTIFICATION

  • Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

  • Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

  • Airport Pick Up is provided by the institute. Accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com

For More Details call: +254-114-087-180

 

 

 

Serverless Bi And Event-driven Analytics Training Course: Modernizing Business Intelligence For Agility And Scalability in Comoros
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