PySpark Training in Augusta

Stratio is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics in enterprise environments. This instructor-led, live training (online or onsite) is designed for intermediate-level data professionals who aim to effectively utilize the Rocket and Intelligence modules in Stratio with PySpark, focusing on looping structures, user-defined functions, and advanced data logic. By the end of this training, participants will be able to: - Navigate and work within the Stratio platform using the Rocket and Intelligence modules. - Apply PySpark for data ingestion, transformation, and analysis. - Use loops and conditional logic to control data workflows and feature engineering tasks. - Create and manage user-defined functions (UDFs) for reusable data operations in PySpark. **Format of the Course** - Interactive lecture and discussion. - Extensive exercises and practice sessions. - Hands-on implementation in a live-lab environment. **Course Customization Options for Government** To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training in [location], participants will learn how to leverage Python and Spark together to analyze large datasets as they engage in hands-on exercises. By the end of this training, participants will be able to: - Utilize Spark with Python for comprehensive big data analysis. - Engage in exercises that simulate real-world scenarios. - Apply various tools and techniques for big data analysis using PySpark, enhancing their capabilities for government projects.

Python is a high-level programming language renowned for its clear syntax and code readability. Apache Spark is a powerful data processing engine utilized for querying, analyzing, and transforming large datasets. PySpark facilitates the integration of Spark with Python, enabling seamless data processing workflows. Target Audience: Intermediate-level professionals in the banking sector who are familiar with Python and Spark and aim to enhance their expertise in big data processing and machine learning techniques, specifically for government and private sector applications.