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Course Outline
Introduction to Big Data Ecosystems
- Overview of big data technologies and architectures
- Batch processing vs. real-time processing
- Data storage strategies for scalability
Advanced Data Processing with Apache Spark
- Optimizing Spark jobs for performance
- Advanced transformations and actions
- Working with structured streaming
Machine Learning at Scale
- Distributed model training techniques
- Hyperparameter tuning on large datasets
- Model deployment in big data environments
Deep Learning for Big Data
- Integrating TensorFlow and PyTorch with Spark
- Distributed deep learning training pipelines
- Use cases in image, text, and time-series analysis
Real-Time Analytics and Data Streaming
- Apache Kafka for streaming data ingestion
- Stream processing frameworks
- Monitoring and alerting in real-time systems
Data Governance, Security, and Ethics
- Data privacy and 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 dashboarding for big data
- Connecting big data pipelines to BI tools
- Driving business outcomes with advanced analytics
Summary and Next Steps
Requirements
- Strong understanding of data analysis and statistical modeling concepts
- Experience with data processing tools and programming languages such as Python, R, or Scala
- Familiarity with distributed computing frameworks such as Hadoop or Spark
Audience
- Data scientists aiming to master large-scale data processing and predictive analytics
- Senior analysts seeking to design and implement advanced analytical workflows
- R&D professionals focusing on innovative data-driven solutions
42 Hours
Testimonials (5)
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.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.
Cristian Tudose - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Actual application of spotfire and all basic functions.
Michael Capili - STMicroelectronics, Inc.
Course - Introduction to Spotfire
The thing I liked the most about the training was the organization and the location
