Course Outline
Foundations of Big Data Ecosystems
- An overview of big data technologies and architectural designs
- Comparing batch processing with real-time processing models
- Scalable data storage strategies
Advanced Data Processing Using Apache Spark
- Techniques for optimizing Spark job performance
- Advanced transformations and operational actions
- Managing structured streaming workflows
Scaling Machine Learning
- Methods for distributed model training
- Hyperparameter optimization across large datasets
- Deploying models within big data environments
Applying Deep Learning to Big Data
- Integrating TensorFlow and PyTorch with Apache Spark
- Constructing distributed deep learning pipelines
- Practical applications in image, text, and time-series analysis
Real-Time Analytics and Streaming
- Using Apache Kafka for high-volume data ingestion
- Exploring stream processing frameworks
- Implementing monitoring and alerting for real-time systems
Governance, Security, and Ethics
- Data privacy standards and compliance obligations
- Managing access controls and encryption in big data systems
- Ethical implications of large-scale analytics
Aligning Big Data with Business Intelligence
- Visualization and dashboarding techniques for big data
- Linking big data pipelines with BI platforms
- Achieving business results through advanced analytics
Recap and Future Directions
Requirements
- A solid grasp of data analysis principles and statistical modeling concepts.
- Practical experience with data processing tools and programming languages such as Python, R, or Scala.
- Knowledge of distributed computing ecosystems like Hadoop or Spark.
Target Audience
- Data scientists looking to excel in large-scale processing and predictive modeling.
- Senior analysts interested in constructing and executing complex 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
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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.
