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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
- Optimizing Spark jobs for peak performance
- Advanced transformations and actions
- Managing structured streaming workloads
Machine Learning at Scale
- Distributed model training techniques
- Hyperparameter tuning across large datasets
- Deploying models within big data environments
Deep Learning for Big Data
- Integrating TensorFlow and PyTorch with Spark
- Building distributed deep learning training pipelines
- Practical applications in image, text, and time-series analysis
Real-Time Analytics and Data Streaming
- Using Apache Kafka for streaming data ingestion
- Implementing stream processing frameworks
- Monitoring and alerting mechanisms for real-time systems
Data Governance, Security, and Ethics
- Data privacy and regulatory compliance requirements
- Access control and encryption in big data systems
- Ethical considerations in large-scale analytics
Integrating Big Data with Business Intelligence
- Data visualization and dashboard creation for big data
- Connecting big data pipelines to BI tools
- Driving business outcomes through advanced analytics
Summary and Next Steps
Requirements
- A solid grasp of data analysis and statistical modeling concepts.
- Practical experience with data processing tools and programming languages like Python, R, or Scala.
- Knowledge of distributed computing frameworks such as Hadoop or Spark.
Audience
- Data scientists looking to excel in large-scale data processing and predictive analytics.
- Senior analysts aiming to build and implement sophisticated 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
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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.
