Technologies and Principles for Big Data

ITALIAN LANGUAGE

ASYNCHRONOUS COURSE DURATION: 7 HOURS

SYNCHRONOUS COURSE DURATION: 8 HOURS

MODE: online or in person

OBJECTIVES

Provide an overview of big data concepts and their use and exploration.

RECIPIENTS

All those who carry out or intend to carry out the activity of Data Scientist and Machine Learning Engineer. Degree in STEM disciplines, SQL for Data Science preferred.

SUBJECTS

• Analyze large amounts of data with Python and Spark
• Use Cloud Computing Systems (AWS) to analyze big data
• Create an ETL (Extract, Transform, Load) pipeline for big data
• Build Machine Learning models on Big Data
• Use Spark Streaming with Python to do real-time analysis of big data
• Building Data Lakes with AWS S3 and Glue
• Use the Databricks platform

CONTENTS AND TEACHING BY PROFESSION AI