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Session 13
Business Intelligence Systems

Big Data and Advanced Analytics for BI

5 hours
Duration
8
Materials
6
Objectives
Session Overview

Integration of big data technologies with business intelligence, advanced analytics platforms, real-time analytics, and scalable BI architectures for large-scale data processing.

Learning Objectives
By the end of this session, you should be able to:
  • Integrate big data technologies (Hadoop, Spark, NoSQL) with traditional BI systems
  • Implement real-time analytics and streaming data processing for BI applications
  • Apply machine learning and AI techniques to large-scale business data
  • Design scalable BI architectures for big data environments
  • Master cloud-based BI solutions and distributed analytics platforms
  • Implement advanced analytics using statistical computing and data science techniques
Course Materials
Download materials for offline study and reference
Big Data and BI Integration Guide (85 pages)
Available material
Real-time Analytics and Streaming Processing
Available material
Machine Learning for Big Data Business Applications
Available material
Scalable BI Architecture Design Patterns
Available material
Cloud-based BI Solutions Implementation
Available material
Statistical Computing and Data Science Tools
Available material
Advanced Analytics Platform Development
Available material
Big Data BI Case Studies and Applications
Available material