Course Outline
Introduction to Big Data Ecosystems
- Survey of big data technologies and architectural designs
- Comparing batch processing with real-time processing
- Strategies for scalable data storage
Advanced Data Processing with Apache Spark
- Performance optimisation of Spark jobs
- Executing advanced transformations and actions
- Managing structured streaming workloads
Machine Learning at Scale
- Techniques for distributed model training
- Hyperparameter tuning across large datasets
- Deploying models within big data environments
Deep Learning for Big Data
- Integration of TensorFlow and PyTorch with Spark
- Building distributed deep learning training pipelines
- Applications in image, text, and time-series analysis
Real-Time Analytics and Data Streaming
- Using Apache Kafka for streaming data ingestion
- Overview of stream processing frameworks
- Monitoring and alerting mechanisms in real-time systems
Data Governance, Security, and Ethics
- Data privacy and regulatory compliance requirements
- Implementing access controls and encryption in big data systems
- Ethical considerations in large-scale analytics
Integrating Big Data with Business Intelligence
- Data 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 solid grasp of data analysis and statistical modelling principles
- Practical experience with data processing tools and programming languages such as Python, R, or Scala
- Working knowledge of distributed computing frameworks like Hadoop or Spark
Target Audience
- Data scientists seeking to excel in large-scale data processing and predictive analytics
- Senior analysts looking to design and build advanced analytical workflows
- R&D professionals dedicated to developing innovative, data-driven solutions
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 6500 € + VAT*
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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.
