Business Intelligence Integration with APIs: Connecting Data for Smarter Insights Training Course

Introduction

Modern organizations depend on multiple applications, platforms, and systems to manage their operations. Business Intelligence (BI) is most effective when these diverse systems can communicate seamlessly, enabling organizations to consolidate and analyze data efficiently. Application Programming Interfaces (APIs) play a pivotal role in making this possible by serving as the bridge that connects BI platforms with various data sources, ensuring that data flows seamlessly and insights are always up to date.

This training course equips professionals with the knowledge and skills needed to leverage APIs for BI integration. Participants will explore the foundations of APIs, learn practical techniques for connecting APIs to BI tools like Power BI, Tableau, and Qlik, and understand how to secure, automate, and optimize data workflows. The course is designed to empower professionals to create robust, scalable, and flexible BI systems that can adapt to evolving organizational needs.

Duration: 10 Days

Target Audience

  • Business intelligence developers and analysts
  • Data engineers and integration specialists
  • IT and system architects
  • Data scientists and advanced analytics professionals
  • Managers and decision-makers overseeing BI initiatives

10 Objectives

  1. Understand the role of APIs in business intelligence
  2. Learn fundamentals of REST, SOAP, and GraphQL APIs
  3. Explore methods of connecting APIs to BI platforms
  4. Automate BI workflows with API integration
  5. Manage authentication and security for APIs
  6. Optimize data pipelines using APIs
  7. Integrate third-party APIs for market, customer, and social data
  8. Troubleshoot and monitor API-BI integrations
  9. Design scalable and reusable API-based BI solutions
  10. Apply skills in a practical BI integration capstone project

15 Course Modules

Module 1: Introduction to APIs in Business Intelligence

  • What are APIs and why they matter in BI
  • Key benefits of API-based integrations
  • Examples of BI and API use cases
  • API-driven data ecosystems
  • Trends in API and BI convergence

Module 2: Understanding API Architectures

  • REST APIs and their applications
  • SOAP APIs in legacy systems
  • GraphQL APIs for flexible queries
  • API documentation and standards
  • Choosing the right API type for BI

Module 3: Authentication and Security in API Integration

  • API keys and token-based authentication
  • OAuth2 and modern security frameworks
  • SSL/TLS and data encryption
  • Managing secure API access
  • Best practices in securing BI-API pipelines

Module 4: Connecting APIs to Power BI

  • Using Power Query with APIs
  • Transforming API data in Power BI
  • Real-time dashboards from APIs
  • Troubleshooting API connections
  • Power BI case study integrations

Module 5: Connecting APIs to Tableau

  • Tableau Web Data Connectors (WDC)
  • Integrating REST APIs into Tableau
  • Handling JSON and XML data formats
  • Refresh scheduling with APIs
  • Tableau API integration examples

Module 6: Connecting APIs to Qlik

  • API connectors in Qlik Sense
  • REST connectors for real-time data
  • Transforming API data in Qlik
  • Qlik API scripting
  • Practical Qlik integration cases

Module 7: Working with JSON and XML Data

  • Structure of JSON and XML formats
  • Parsing and transforming API responses
  • Tools for JSON/XML data cleaning
  • Handling nested data in BI
  • Error handling in API responses

Module 8: Automating Workflows with APIs

  • Scheduling automated API data pulls
  • Using APIs with ETL tools
  • Automating alerts and notifications
  • Workflow orchestration platforms
  • Benefits of automation in BI systems

Module 9: Integrating Third-Party APIs

  • Social media APIs (Twitter, LinkedIn, etc.)
  • Financial and market data APIs
  • Customer relationship management APIs
  • Cloud services APIs (AWS, Azure, Google)
  • Enriching BI dashboards with external data

Module 10: API Rate Limits and Performance

  • Understanding API quotas and limits
  • Techniques to optimize API requests
  • Handling throttling errors
  • Caching API responses
  • Performance optimization strategies

Module 11: Error Handling and Troubleshooting

  • Common API connection issues
  • Debugging BI-API integrations
  • Logging API requests and responses
  • Monitoring API health
  • Best practices for resilient integrations

Module 12: Advanced API Integrations

  • Streaming data APIs for real-time BI
  • Combining multiple APIs in one dashboard
  • GraphQL advanced queries
  • Multi-source API orchestration
  • Advanced BI-API workflows

Module 13: API Management Tools

  • Introduction to API gateways
  • Monitoring and analytics for APIs
  • API lifecycle management
  • Using Postman and similar tools
  • Governance of API integrations

Module 14: Designing Scalable BI Solutions with APIs

  • Building reusable integration frameworks
  • Modular API design for BI
  • Scalability considerations in BI pipelines
  • Cloud-native BI integration strategies
  • Future-proofing BI with APIs

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

 

Business Intelligence Integration With Apis: Connecting Data For Smarter Insights Training Course in Seychelles
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