PySpark Training in Lyon

Stratio is a data-centric platform that seamlessly integrates big data, AI, and governance into a single, unified solution. Its Rocket and Intelligence modules empower organizations with rapid data exploration, transformation, and advanced analytics capabilities tailored for enterprise environments.

This instructor-led live training, available both online and onsite, is designed for intermediate-level data professionals looking to master the Rocket and Intelligence modules within Stratio using PySpark. The curriculum focuses on leveraging looping structures, user-defined functions, and complex data logic to enhance workflow efficiency.

Upon completion of this training, participants will be equipped to:

• Navigate and effectively utilize the Stratio platform through its Rocket and Intelligence modules.
• Apply PySpark techniques for data ingestion, transformation, and analysis within the Stratio ecosystem.
• Implement loops and conditional logic to manage data workflows and streamline feature engineering tasks.
• Develop and manage user-defined functions (UDFs) to create reusable data operations in PySpark.

Course Format

• Engaging interactive lectures and discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training in Lyon, participants will discover how to leverage Python and Spark in unison to analyze big data through hands-on exercises.

Upon completion of this training, participants will be able to:

• Understand how to use Spark with Python to analyze Big Data.
• Complete exercises that simulate real-world scenarios.
• Utilize various tools and techniques for big data analysis using PySpark.

This course offers a hands-on introduction to creating scalable data processing and Machine Learning workflows with PySpark. Attendees will discover how Apache Spark functions within contemporary Big Data ecosystems and how to effectively manage large datasets by applying distributed computing principles.