Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to the 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 statements.
- Writing custom functions with 'def' and applying them.
Advanced Usage of Rocket with PySpark
- Streaming ingestion and transformations.
- Using loops and functions in both batch and real-time scenarios.
- Best practices for optimizing 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 generating custom analytics and insights.
Building Advanced Analytics Workflows
- Creating user-defined functions (UDFs) in Intelligence.
- Applying conditionals and loops for complex data logic.
- Use cases: segmentation, aggregation, and prediction.
Deployment and Collaboration
- Saving, exporting, and reusing workflows.
- Collaborating with team members on Stratio.
- Reviewing output and integrating with downstream tools.
Summary and Next Steps
Requirements
- Prior experience with Python programming.
- Understanding of data analytics or big data processing concepts.
- Fundamental knowledge of Apache Spark and distributed computing.
Audience
- Data engineers working on Stratio-based platforms.
- Analysts or developers utilizing Rocket and Intelligence modules.
- Technical teams transitioning to PySpark workflows within Stratio.
14 Hours
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.