Big Data Foundations for Business Intelligence Professionals Training Course: Unlocking the Power of Data for Strategic Insights

Introduction

Big Data has transformed the way organizations collect, store, and analyze information, offering unprecedented opportunities for insights and competitive advantage. For Business Intelligence (BI) professionals, understanding the foundations of Big Data is essential to design scalable analytics solutions, manage complex datasets, and leverage advanced tools for decision-making. This course introduces the core concepts, technologies, and methodologies that underpin Big Data environments, enabling BI professionals to harness data effectively for actionable insights.

This training course equips participants with the skills to work with Big Data technologies, integrate them into BI workflows, and transform raw data into meaningful intelligence. Through practical exercises, case studies, and interactive sessions, learners will gain hands-on experience with modern data architectures, storage solutions, and analytical frameworks. Participants will leave the program capable of applying Big Data principles to enhance business performance and support data-driven decision-making.

Duration: 10 Days

Target Audience

  • Business Intelligence professionals and data analysts
  • Data engineers and architects
  • IT managers and system administrators
  • Decision-makers involved in analytics and strategic planning
  • Professionals working with large-scale data projects

10 Objectives

  1. Understand the fundamentals of Big Data concepts and technologies
  2. Learn about distributed computing and storage frameworks
  3. Explore data ingestion, integration, and processing techniques
  4. Apply Big Data solutions to enhance BI workflows
  5. Develop data pipelines for structured and unstructured data
  6. Understand Big Data analytics methodologies
  7. Gain practical skills in key Big Data tools and platforms
  8. Ensure data quality, governance, and security in Big Data environments
  9. Study industry use cases and best practices
  10. Design and implement a Big Data project for BI applications

15 Course Modules

Module 1: Introduction to Big Data for BI Professionals

  • Definition and characteristics of Big Data (Volume, Velocity, Variety, Veracity)
  • Importance of Big Data in business intelligence
  • Historical evolution of Big Data technologies
  • Key drivers and business benefits
  • Challenges in managing Big Data

Module 2: Big Data Architecture and Ecosystems

  • Overview of Big Data ecosystem components
  • Data storage and processing architectures
  • Distributed computing frameworks
  • Data lake vs data warehouse comparison
  • Architectural best practices

Module 3: Data Storage and Management

  • Relational vs NoSQL databases
  • Hadoop Distributed File System (HDFS)
  • Object storage and cloud-based data storage
  • Data partitioning and replication
  • Ensuring scalability and reliability

Module 4: Distributed Computing Fundamentals

  • Introduction to parallel and distributed processing
  • MapReduce programming model
  • Cluster management and scheduling
  • Resource allocation strategies
  • Use cases in BI data processing

Module 5: Data Ingestion and Integration

  • Batch vs real-time data ingestion
  • Data streaming technologies (Kafka, Flume, etc.)
  • Data integration from heterogeneous sources
  • Data validation and transformation
  • ETL workflows in Big Data environments

Module 6: Data Processing and Analytics

  • Overview of processing frameworks (Hadoop, Spark)
  • In-memory analytics
  • Structured and unstructured data processing
  • Data aggregation and summarization
  • Integration with BI reporting tools

Module 7: Data Quality and Governance

  • Ensuring data accuracy and consistency
  • Data lineage and metadata management
  • Data governance frameworks
  • Policy and compliance considerations
  • Best practices for maintaining data integrity

Module 8: Big Data Security and Privacy

  • Security challenges in Big Data environments
  • Access control and authentication
  • Encryption and secure storage
  • Privacy-preserving analytics techniques
  • Compliance with regulatory standards

Module 9: Big Data Analytics Techniques

  • Descriptive analytics for large datasets
  • Predictive modeling using Big Data
  • Prescriptive analytics approaches
  • Machine learning integration
  • Visualization strategies for Big Data insights

Module 10: Cloud and Big Data Platforms

  • Overview of cloud-based Big Data services
  • Platform as a Service (PaaS) and Infrastructure as a Service (IaaS)
  • Integration of cloud platforms with BI systems
  • Scalability and cost considerations
  • Industry adoption examples

Module 11: Real-Time and Stream Analytics

  • Principles of stream processing
  • Event-driven architectures
  • Tools for real-time analytics
  • BI applications of streaming data
  • Monitoring and alerting systems

Module 12: Big Data Tools for BI Professionals

  • Hadoop ecosystem components
  • Apache Spark and Spark SQL
  • NoSQL databases (MongoDB, Cassandra)
  • BI tool integration with Big Data sources
  • Hands-on exercises with practical tools

Module 13: Industry Applications of Big Data in BI

  • Finance and banking analytics
  • Retail and e-commerce insights
  • Healthcare and life sciences applications
  • Supply chain optimization
  • Public sector data intelligence

Module 14: Future Trends in Big Data for BI

  • Emerging Big Data technologies
  • AI and machine learning in Big Data environments
  • Data-driven decision-making trends
  • Edge computing and IoT data integration
  • Preparing for next-generation BI solutions

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

 

Big Data Foundations For Business Intelligence Professionals Training Course: Unlocking The Power Of Data For Strategic Insights in Nigeria
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