Course Outline
Introduction to the Stratio Platform
- Overview of Stratio architecture and its core modules
- The role of Rocket and Intelligence in the data lifecycle
- Accessing and navigating the Stratio user interface
Utilizing the Rocket Module
- Data ingestion and pipeline development
- Linking data sources and setting up transformations
- Employing PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- PySpark data structures and core operations
- Looping constructs: application of for, while, and if/else
- Developing and applying custom functions using def
Advanced Application of Rocket with PySpark
- Streaming ingestion and real-time transformations
- Leveraging loops and functions in batch and real-time scenarios
- Best practices for optimizing PySpark pipeline performance
Discovering the Intelligence Module
- Overview of data modeling and analytical capabilities
- Feature selection, transformation, and exploratory analysis
- The contribution of PySpark to custom analytics and insights
Constructing Advanced Analytics Workflows
- Creating user-defined functions (UDFs) within Intelligence
- Implementing conditionals and loops for complex data logic
- Practical use cases: segmentation, aggregation, and prediction
Deployment and Team Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating with team members on the Stratio platform
- Reviewing outputs and integrating with downstream tools
Summary and Recommended Next Steps
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing principles
- Fundamental understanding of Apache Spark and distributed computing
Target Audience
- Data engineers working with Stratio-based platforms
- Analysts or developers utilizing the Rocket and Intelligence modules
- Technical teams adopting PySpark workflows within Stratio
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 2600 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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
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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.
