Course Outline
Introduction to the Stratio Platform
- An overview of Stratio’s architecture and its core modules
- The specific roles of Rocket and Intelligence in the data lifecycle
- Logging in and navigating the Stratio user interface
Utilizing the Rocket Module
- Data ingestion strategies and pipeline construction
- Establishing data source connections and configuring transformations
- Leveraging PySpark for preprocessing tasks within Rocket
PySpark Fundamentals for Stratio Users
- Core PySpark data structures and essential operations
- Looping constructs: implementing for, while, and if/else logic
- Developing and applying custom functions using def
Advanced Rocket and PySpark Integration
- Streaming ingestion and real-time transformations
- Applying loops and functions across batch and real-time scenarios
- Best practices for optimizing PySpark pipeline performance
Exploring the Intelligence Module
- An overview of data modeling and analytical capabilities
- Techniques for feature selection, transformation, and exploration
- The role of PySpark in driving custom analytics and insights
Constructing Advanced Analytics Workflows
- Developing user-defined functions (UDFs) within Intelligence
- Applying conditionals and loops to refine data logic
- Practical use cases: segmentation, aggregation, and prediction models
Deployment and Team Collaboration
- Saving, exporting, and reusing established workflows
- Collaborating effectively with team members on Stratio
- Reviewing outputs and integrating results with downstream tools
Summary and Future Steps
Requirements
- Proficiency in Python programming
- Familiarity with data analytics or big data processing principles
- Foundational knowledge of Apache Spark and distributed computing architectures
Target Audience
- Data engineers operating within Stratio-based ecosystems
- Analysts or developers utilizing the Rocket and Intelligence modules
- Technical teams adopting PySpark workflows within the Stratio environment
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 3200 € + 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
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.
