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's architecture and core modules
- The role of Rocket and Intelligence in the data lifecycle
- Logging in and navigating the Stratio user interface
Working with the Rocket Module
- Data ingestion and pipeline creation
- Connecting data sources and configuring transformations
- Utilizing PySpark for preprocessing tasks in Rocket
PySpark Essentials for Stratio Users
- PySpark data structures and operations
- Looping constructs: practical use of for, while, and if/else statements
- Writing custom functions using 'def' and applying them effectively
Advanced Usage of Rocket with PySpark
- Streaming ingestion and transformations
- Implementing loops and functions in batch and real-time scenarios
- Best practices for optimizing PySpark pipeline performance
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 to implement data logic
- Use cases: segmentation, aggregation, and prediction
Deployment and Collaboration
- Saving, exporting, and reusing workflows
- Collaborating with other team members within Stratio
- Reviewing output and integrating with downstream tools
Summary and Next Steps
Requirements
- Proficiency in Python programming
- Understanding of data analytics or big data processing principles
- Fundamental knowledge of Apache Spark and distributed computing
Target Audience
- Data engineers operating on Stratio-based platforms
- Analysts or developers utilizing Rocket and Intelligence modules
- Technical teams migrating 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.
