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Duration 42 hours
Course Outline
Introduction to Big Data Ecosystems
- Exploration of big data technologies and underlying architectures
- Comparison of batch processing versus real-time processing
- Strategies for scalable data storage
Advanced Data Processing with Apache Spark
- Techniques for optimizing Spark jobs to enhance performance
- Executing advanced transformations and actions
- Implementing workflows with structured streaming
Machine Learning at Scale
- Methods for distributed model training
- Performing hyperparameter tuning on large datasets
- Deploying models within big data environments
Deep Learning for Big Data
- Integration of TensorFlow and PyTorch with Spark
- Constructing distributed deep learning training pipelines
- Practical applications in image, text, and time-series analysis
Real-Time Analytics and Data Streaming
- Utilizing Apache Kafka for streaming data ingestion
- Overview of stream processing frameworks
- Implementing monitoring and alerting in real-time systems
Data Governance, Security, and Ethics
- Understanding data privacy and compliance requirements
- Managing access control and encryption in big data systems
- Navigating ethical considerations in large-scale analytics
Integrating Big Data with Business Intelligence
- Creating data visualizations and dashboards for big data
- Linking big data pipelines to BI tools
- Achieving business outcomes through advanced analytics
Summary and Next Steps
Requirements
- Solid grasp of data analysis principles and statistical modeling concepts
- Proficiency with data processing tools and programming languages such as Python, R, or Scala
- Knowledge of distributed computing frameworks like Hadoop or Spark
Audience
- Data scientists seeking to excel in large-scale data processing and predictive analytics
- Senior analysts interested in designing and implementing advanced analytical workflows
- R&D professionals dedicated to 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
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
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.
