Course Outline
Introduction to Stratio Platform
- Overview of Stratio architecture and core modules.
- The role of Rocket and Intelligence in the data lifecycle.
- Logging in and navigating the Stratio UI.
Working with the Rocket Module
- Data ingestion and pipeline creation.
- Connecting data sources and configuring transformations.
- Using PySpark for preprocessing tasks in Rocket.
PySpark Essentials for Stratio Users
- PySpark data structures and operations.
- Looping constructs: usage of for, while, and if/else.
- Writing custom functions with def and applying them.
Advanced Usage of Rocket with PySpark
- Streaming ingestion and transformations.
- Using loops and functions in batch and real-time scenarios.
- Best practices for performance in PySpark pipelines.
Exploring the Intelligence Module
- Overview of data modeling and analysis features.
- Feature selection, transformation, and exploration.
- The role of PySpark in custom analytics and insights.
Building Advanced Analytics Workflows
- Creating user-defined functions (UDFs) in Intelligence.
- Applying conditionals and loops for data logic.
- Use cases: segmentation, aggregation, and prediction.
Deployment and Collaboration
- Saving, exporting, and reusing workflows.
- Collaborating with other team members on Stratio.
- Reviewing output and integrating with downstream tools.
Summary and Next Steps
Requirements
- Experience with Python programming.
- Understanding of data analytics or big data processing concepts.
- Basic knowledge of Apache Spark and distributed computing.
Audience
- Data engineers working with Stratio-based platforms.
- Analysts or developers using Rocket and Intelligence modules.
- Technical teams transitioning to 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*
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Testimonials (2)
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
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.
