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Duration 42 hours
Course Outline
Introduction to Big Data Ecosystems
- Overview of big data technologies and architectural patterns
- Comparing batch processing with real-time processing
- Scalable data storage strategies
Advanced Data Processing with Apache Spark
- Performance optimization of Spark jobs
- Advanced transformations and actions
- Managing structured streaming
Machine Learning at Scale
- Distributed model training methodologies
- Hyperparameter tuning for large datasets
- Deploying models in big data environments
Deep Learning for Big Data
- Integration of TensorFlow and PyTorch with Spark
- Constructing distributed deep learning pipelines
- Applications in image, text, and time-series analysis
Real-Time Analytics and Data Streaming
- Apache Kafka for ingesting streaming data
- Stream processing frameworks
- Real-time system monitoring and alerting
Data Governance, Security, and Ethics
- Data privacy and regulatory compliance
- Access control and encryption within big data systems
- Ethical considerations in large-scale analytics
Integrating Big Data with Business Intelligence
- Visualisation and dashboarding for big data
- Linking big data pipelines to BI tools
- Driving business outcomes through advanced analytics
Summary and Next Steps
Requirements
- A robust grasp of data analysis and statistical modeling principles
- Proficiency with data processing tools and programming languages such as Python, R, or Scala
- Working knowledge of distributed computing frameworks like Hadoop or Spark
Audience
- Data scientists seeking to master large-scale data processing and predictive analytics
- Senior analysts looking to design and execute advanced analytical workflows
- R&D specialists focused on developing innovative, data-driven solutions
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
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How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
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Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.